SAS Tutorial | Introduction to Bayesian Analysis

This course discusses the fundamentals of Bayesian thinking and computation, emphasizing the practical aspects of performing Bayesian analysis. Fundamental ideas will be reviewed, such as using prior information, making inferences and predictions, and formulating statistical models. The most important computational technique is Markov chain Monte Carlo simulation. These ideas and methods will be explained and demonstrated using several Bayesian procedures of SAS/STAT®, including the general-purpose modeling procedure PROC MCMC and the specialized PROC BGLIMM for generalized linear mixed models. Session ID: 5312 Presenter: Fang Chen, Director, SAS Topic: Analytics Industry: Non-Industry Specific Audience: Statistician Level: All Content Outline 00:00:00 – Tutorial agenda 00:01:07 – Paradigm overview: Statistics and Bayesian Statistics 00:05:12 – Bayesian thinking: A real life example 00:10:09 – Bayes' Theorem 00:22:56 – Prior Distributions 00:27:36 – A Binomial example 00:36:54 – Logistic Regression with zero occurrence example 00:42:26 – Simulation Methods 00:47:40 – Additional books and articles devoted to MCMC 00:50:35 – Metropolis-Hasting Algorithm 00:55:26 – Hamiltonian Monte Carlo 01:00:52 – No-U-Turn Sampler (NUTS) 01:01:30 – Benefits of Sampling-Based Methods 01:14:20 – Software overview 01:14:36 – PROC BGLIMM and Mixed Models 01:23:14 – Logistic Regression examples 01:32:21– Listing of Built-in Bayesian macros 01:33:02 – Logistic Regression with Random Intercepts example 01:43:16 – Regression Model with Repeated Measurements 01:55:28 – Quick overview of PROC MCMC Additional resources Resource Hub for Data Professionals – https://www.sas.com/sas/offers/resource-hub/roles/data-professional.html?utm_source=youtube.com&utm_medium=referral&utm_campaign=sgf-4406690&utm_content=amh5FSgvlrc Learn more about SAS Software Free SAS Online Training – https://www.sas.com/en_us/training/offers/free-training.geo.html?utm_source=youtube.com&utm_medium=referral&utm_campaign=sgf-4406690&utm_content=amh5FSgvlrc Contact SAS® – https://www.sas.com/en_us/contact.geo.html?utm_source=youtube.com&utm_medium=referral&utm_campaign=sgf-4406690&utm_content=amh5FSgvlrc SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF https://www.youtube.com/SASUsers?sub_confirmation=1 ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com/contact SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► https://www.linkedin.com/company/sas Blogs ► https://blogs.sas.com RSS ►https://www.sas.com/rss