# Webinar: Bayesian Data Analysis with BRMS (Feb 28, 2023)

**URL:** <https://discourse.pymc.io/t/webinar-bayesian-data-analysis-with-brms-feb-28-2023/11471>\
**Category:** Events\
**Created:** [February 23, 2023, 4:20pm UTC](https://discourse.pymc.io/t/webinar-bayesian-data-analysis-with-brms-feb-28-2023/11471 "2023-02-23T16:20:34Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![reshamas](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/reshamas/32/4983_2.png) [@reshamas](https://discourse.pymc.io/u/reshamas)\
**Post date:** [February 23, 2023, 4:20pm UTC](https://discourse.pymc.io/t/webinar-bayesian-data-analysis-with-brms-feb-28-2023/11471/1 "2023-02-23T16:20:34Z")

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There is an upcoming live webinar, that is free and open to the public: [Bayesian Data Analysis with BRMS](https://www.meetup.com/data-umbrella/events/291267069/)

**DATE:** Tuesday, Feb 28, 2023  
**TIME:** 7- 8pm ET  
**WHERE:** online (BigMarker is a browser based platform, no download required, use Chrome for best experience)  
**SIGN-UP:** on [Meetup](https://www.meetup.com/data-umbrella/events/291267069/)  
**COST:** Free

**VIDEO:**

[![](https://img.youtube.com/vi/A1NWoKQhgJE/maxresdefault.jpg "[74] Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan) (Mitzi Morris)") ](https://www.youtube.com/watch?v=A1NWoKQhgJE)

**DESCRIPTION:**

In this webinar Mitzi Morris shows how you can quickly build robust models for data analysis and prediction using BRMS. After a brief overview of the the advantages and limitations of BRMS and a quick review of multi-level regression. We will work through an R-markdown notebook together, to see how to fit, visualize, and test the goodness of the model and resulting estimates.

**SPEAKER**

**Mitzi Morris** is a member of the Stan Development Team and serves on the Stan Governing Body. Since 2017 she has been a full-time Stan developer, working for Professor Andrew Gelman at Columbia University, where she has contributed to the core Stan C++ platform and developed CmdStanPy, a modern Python interface for Stan. She is also as an active Stan user, developing, publishing, and presenting on Bayesian models for disease mapping. Prior to that she has worked as a software engineer in both academia and industry, working on natural language processing and search applications as well as data analysis pipelines for genomics and bioinformatics.

Mitzi on GitHub [github.com/mitzimorris](https://github.com/mitzimorris)

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## **Video Recording**

This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:  
[Data Umbrella](https://www.youtube.com/c/DataUmbrella/)

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<div class="post-metadata">

**Author:** ![reshamas](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/reshamas/32/4983_2.png) [@reshamas](https://discourse.pymc.io/u/reshamas)\
**Post date:** [March 6, 2023, 3:04pm UTC](https://discourse.pymc.io/t/webinar-bayesian-data-analysis-with-brms-feb-28-2023/11471/2 "2023-03-06T15:04:05Z")

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In case you missed the live webinar, the video is now available for:  
Speaker: Mitzi Morris

Event: [Bayesian Data Analysis with BRMS](https://youtu.be/A1NWoKQhgJE)