01665cgm a2200385 i 4500 2549277598 TxAuBib 20240905120000.0 r 191010|||||||||||||||||||||||||||||eng|u 6733207 Kanopy (OCoLC)1129199260 CaSfKAN eng rda CaSfKAN TxAuBib rda Learning Statistics. Episode 23, Prior Information and Bayesian Inference. [Kanopy]. The Great Courses, 2017. [San Francisco, California, USA : Kanopy Streaming, 2019. 1 online resource (streaming video file) (35 minutes) : digital, .flv file, sound. tdi rdacontent c rdamedia cr rdacarrier Title from title frames. Film. In Process Record. Talithia Williams. Originally produced by The Great Courses in 2017. Turn to an entirely different approach for doing statistical inference: Bayesian statistics, which assumes a known prior probability and updates the probability based on the accumulation of additional data. Unlike the frequentist approach, the Bayesian method does not depend on an infinite number of hypothetical repetitions. Explore the flexibility of Bayesian analysis. Mode of access: World Wide Web. Mathematics. Education films. Williams, Talithia, actor. The Great Courses (Firm). Kanopy (Firm). https://USERNAME.kanopy.com/node/5733208 https://www.kanopy.com/node/5733208/external-image BSBPL