H2020 LEARNVUL Summer School Sep 2021. Bayesian statistics and hypothesis testing. Part I

This video is part of a project that has receiving funding from European Union's Horizon 2020 research and innovation programme under grant agreement No. 952464

Bayesian statistics and hypothesis testing. Conceptual issues and basics (part I)
Daniele Romano, Università degli Studi di Milano-Bicocca

Timestamps:
00:00:00 - 00:04:57 • Introduction about the workshop and the speaker
00:05:58 - 00:08:31 • What can you do with Bayesian statistics?
00:08:32 - 00:11:17 • Mentimeter
00:11:18 - 00:13:13 • Why do we need Bayesian Statistics?
00:13:14 - 00:15:39 • Probability
00:15:40 - 00:22:52 • Bayesian way of reasoning
00:18:30 - 00:19:39 • Question and answer
00:19:40 - 00:22:52 • An example of the Bayesian reasoning
00:22:53 - 00:25:24 • Why are we going Bayesian now?
00:25:25 - 00:34:26 • Conditional probability
00:27:05 - 00:28:30 •Basketball example
00:28:31 - 00:31:03 • Hair and gender example
00:31:04 - 00:34:25 • Disease example
00:34:26 - 00:36:57 • Using probability theory to change beliefs
00:36:58 - 00:44:56 • Coin example
00:44:57 - 00:48:42 • Questions and answers
00:48:43 - 00:57:12 • Data is data, but what is the prior?
00:57:13 - 01:22:45 • A binomial test exercise with the “Learn Bayes” module in JASP
01:22:46 - 01:32:02 • Final discussion