{"2164":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2164","crse_attr_list":"CSLI=N"},"2171":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2171","crse_attr_list":"CSLI=N"},"2172":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2172","crse_attr_list":"CSLI=N"},"2173":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2173","crse_attr_list":"CSLI=N"},"2174":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2174","crse_attr_list":"CSLI=N"},"2181":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2181","crse_attr_list":"CSLI=N"},"2182":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2182","crse_attr_list":"CSLI=N"},"2183":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2183","crse_attr_list":"CSLI=N"},"2184":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2184","crse_attr_list":"CSLI=N"},"2191":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2191","crse_attr_list":"CSLI=N"},"2192":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2192","crse_attr_list":"CSLI=N"},"2193":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2193","crse_attr_list":"CSLI=N"},"2194":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2194","crse_attr_list":"CSLI=N"},"2201":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2201","crse_attr_list":"CSLI=N"},"2202":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2202","crse_attr_list":"CSLI=N"},"2203":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2203","crse_attr_list":"CSLI=N"},"2204":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2204","crse_attr_list":"CSLI=N"},"2211":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2211","crse_attr_list":"CSLI=N"},"2212":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2212","crse_attr_list":"CSLI=N"},"2213":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2213","crse_attr_list":"CSLI=N"},"2214":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2214","crse_attr_list":"CSLI=N"},"2221":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2221","crse_attr_list":"CSLI=N"},"2222":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2222","crse_attr_list":"CSLI=N"},"2223":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2223","crse_attr_list":"CSLI=N"},"2224":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2224","crse_attr_list":"CSLI=N"},"2231":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2231","crse_attr_list":"CSLI=N"},"2232":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2232","crse_attr_list":"CSLI=N"},"2233":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2233","crse_attr_list":"CSLI=N"},"2234":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2234","crse_attr_list":"CSLI=N"},"2241":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2241","crse_attr_list":"CSLI=N"},"2242":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2242","crse_attr_list":"CSLI=N"},"2243":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2243","crse_attr_list":"CSLI=N"},"2244":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2244","crse_attr_list":"CSLI=N"},"2251":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2251","crse_attr_list":"CSLI=N"},"2252":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2252","crse_attr_list":"CSLI=N"},"2253":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2253","crse_attr_list":"CSLI=N"},"2254":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2254","crse_attr_list":"CSLI=N"},"2261":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2261","crse_attr_list":"CSLI=N"},"2262":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2262","crse_attr_list":"CSLI=N"},"2263":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2263","crse_attr_list":"CSLI=N"},"2264":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2264","crse_attr_list":"CSLI=N"},"2271":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2271","crse_attr_list":"CSLI=N"},"2272":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2272","crse_attr_list":"CSLI=N"},"2273":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2273","crse_attr_list":"CSLI=N"},"2274":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2274","crse_attr_list":"CSLI=N"},"2281":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2281","crse_attr_list":"CSLI=N"},"2282":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2282","crse_attr_list":"CSLI=N"},"2283":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2283","crse_attr_list":"CSLI=N"},"2284":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2284","crse_attr_list":"CSLI=N"},"2291":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2291","crse_attr_list":"CSLI=N"},"2292":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2292","crse_attr_list":"CSLI=N"},"2293":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2293","crse_attr_list":"CSLI=N"},"2294":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2294","crse_attr_list":"CSLI=N"},"2301":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2301","crse_attr_list":"CSLI=N"},"2302":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2302","crse_attr_list":"CSLI=N"},"2303":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2303","crse_attr_list":"CSLI=N"},"2304":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2304","crse_attr_list":"CSLI=N"},"2311":{"crse_id":"005378","subject":"STAT","catalog_nbr":"440","course_title_long":"Bayesian Inference","descrlong":"Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.\n\n[(Prereq: STAT 410 and STAT 420) or (Instructor Consent)]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2311","crse_attr_list":"CSLI=N"}}