Keynote by Chris Fonnesbeck

9:30AM - 10:15AM UTC+0
2:30AM - 3:15AM UTC-7

Keynote by Viola Priesemann

10:30AM - 11:15AM UTC+0
3:30AM - 4:15AM UTC-7
Live Q&A
11:15AM - 11:30AM UTC+0

Demystifying Variational Inference

12:30PM - 12:40PM UTC+0
5:30AM - 5:30AM UTC-7 Sayam Kumar

Priors of Great Potential - How you can Add Fairness Constraints to Models using Priors

12:30PM - 12:40PM UTC+0
5:30AM - 5:30AM UTC-7 Vincent D. Warmerdam & Matthijs Brouns

A Tour of Model Checking Techniques

12:40PM - 12:50PM UTC+0
5:40AM - 5:50AM UTC-7 Rob Zinkov

Hierarchical time series with Prophet and PyMC3

12:40PM - 12:50PM UTC+0
5:40AM - 5:50AM UTC-7 Matthijs Brouns

My Journey in Learning and Relearning Bayesian Statistics

12:50PM - 1:00PM UTC+0
5:50AM - 6:00AM UTC-7 Ali Akbar Septiandri

Using Hierarchical Multinomial Regression to Predict Elections in Paris at the District-Level

12:50PM - 1:00PM UTC+0
5:50AM - 6:00AM UTC-7 Alex Andorra

The Bayesian Workflow: Building a COVID-19 Model

1:00PM - 1:10PM UTC+0
6:00AM - 6:10AM UTC-7 Thomas Wiecki

The MLDA Multilevel Sampler in PyMC3

1:00PM - 1:10PM UTC+0
6:00AM - 6:10AM UTC-7 Tim Dodwell, Mikkel Lykkegaard, Grigorios Mingas

Including Partial Differential Equations in Your PyMC3 Model

1:10PM - 1:20PM UTC+0
6:10AM - 6:20AM UTC-7 Ivan Yashchuk

An Alcohol? What are the Chances! Knowledge-based and Probabilistic Models in Chemistry Using PyMC3

1:10PM - 1:20PM UTC+0
6:10AM - 6:20AM UTC-7 Hessam Mehr and Dario Caramelli

Partial Missing Multivariate Observation and what to do With Them

1:20PM - 1:30PM UTC+0
6:20AM - 6:30AM UTC-7 Junpeng Lao

Using Hierarchical Models in Instrumental Variable Analysis for Advertising Effectiveness

1:20PM - 1:30PM UTC+0
6:20AM - 6:30AM UTC-7 Ruben Mak

calibr8: Going Beyond Linear Ranges with Non-Linear Calibration Curves and Multilevel Modeling

1:30PM - 1:40PM UTC+0
6:30AM - 6:40AM UTC-7 Michael Osthege & Laura Helleckes

Estimating the Causal Network of Developmental Neurotoxicants using PyMC3

1:30PM - 1:40PM UTC+0
6:30AM - 6:40AM UTC-7 Nicoleta Spinu

Posterior Predictive Sampling in PyMC3

1:40PM - 1:50PM UTC+0
6:40AM - 6:50AM UTC-7 Luciano Paz

Automatic Transformation of Bayesian Probabilistic Models into Interactive Visualizations

1:40PM - 1:50PM UTC+0
6:40AM - 6:50AM UTC-7 Evdoxia Taka

Building an Ordered Logistic Regression Model for Toxicity Prediction

1:50PM - 2:00PM UTC+0
6:50AM - 7:00AM UTC-7 Elizaveta Semenova

Keynote by Chris Fonnesbeck (Rebroadcast)

4:30PM - 5:15PM UTC+0
9:30AM - 10:15AM UTC-7
Live Q&A
5:15PM - 5:30PM UTC+0

Keynote by Aki Vehtari (Rebroadcast)

5:30PM - 6:30PM UTC+0
10:30AM - 11:30AM UTC-7

Microbial Cell Counting in a Noisy Environment

7:30PM - 7:40PM UTC+0
12:30PM - 12:40PM UTC-7 Cameron Davidson-Pilson

Sequential Monte Carlo: Introduction and Diagnostics

7:40PM - 7:50PM UTC+0
12:40PM - 12:50PM UTC-7 Pedro German Ramirez & Osvaldo Martin

Learning Bayesian Statistics with Pokemon GO

7:50PM - 8:00PM UTC+0
12:50PM - 1:00PM UTC-7 Tushar Chandra

Studying Glycan 3D Structures with PyMC3 and ArviZ

8:00PM - 8:10PM UTC+0
1:00PM - 1:10PM UTC-7 Agustina Arroyuelo

The Bayesian Zig Zag: Developing and Testing PyMC Models

8:10PM - 8:20PM UTC+0
1:10PM - 1:20PM UTC-7 Allen Downey

Bayesian Machine Learning: A PyMC-Centric Introduction

8:20PM - 8:30PM UTC+0
1:20PM - 1:30PM UTC-7 Quan Nguyen

The why and how of one domain-specific PyMC3 extension

8:30PM - 8:40PM UTC+0
1:30PM - 1:40PM UTC-7 Dan Foreman-Mackey

A Bayesian Approach to Media Mix Modeling

8:40PM - 8:50PM UTC+0
1:40PM - 1:50PM UTC-7 Michael Johns & Zhenyu Wang

What is Probability? A Philosophical Question with Practical Implications for Bayesians

8:50PM - 9:00PM UTC+0
1:50PM - 2:00PM UTC-7 Max Sklar

A Novel Bayesian Model to Fit Spectrophotometric Data of Hubble and Spitzer Space Telescopes

9:00PM - 9:10PM UTC+0
2:00PM - 2:10PM UTC-7 Mo Akhshik