Learning Statistics. Episode 23, Prior Information and Bayesian Inference
(2019, original release: 2017)
Nonfiction
eCourse
Details
PUBLISHED
The Great Courses, 2017
[San Francisco, California, USA] : Kanopy Streaming, 2019
[San Francisco, California, USA] : Kanopy Streaming, 2019
DESCRIPTION
1 online resource (streaming video file) (35 minutes): digital, .flv file, sound
ISBN/ISSN
6733207
LANGUAGE
English
NOTES
Title from title frames
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
Film
In Process Record
Talithia Williams
Originally produced by The Great Courses in 2017
Mode of access: World Wide Web
In English