17:09

PyMCon Web Series - Enabling Uncertainty Quantification - Q&A | Anne Reinarz & Linus Seelinger

59:41

PyMCon Web Series - Enabling Uncertainty Quantification | Anne Reinarz & Linus Seelinger | Tutorial

21:55

PyMCon Web Series - Introduction to Uncertainty Quantification (UQ) and UM-Bridge | Linus Seelinger

11:29

PyMCon Web Series - Anne Reinarz & Linus Seelinger

53:36

PyMCon Web Series - Missing Value Imputation with Item Response Theory - Q&A | Allen & Ricardo

40:00

PyMCon Web Series -Missing Value Imputation with Item Response Theory -Allen Downey & Ricardo Vieira

16:58

PyMCon Web Series - Meet Allen Downey & Ricardo Vieira

55:08

PyMCon Web Series - The Only Constant is Change: Bespoke Changepoint Modelling in PyMC | Abuzar

01:18:14

PyMCon Web Series - Bespoke Changepoint Modelling in PyMC - Model Walkthroughs by Abuzar Mahmood

10:06

PyMCon Web Series - Meet Dr. Abuzar Mahmood

54:12

PyMCon Web Series - Bayesian Causal Modeling - Q&A | Thomas Wiecki

56:29

PyMCon Web Series - Bayesian Causal Modeling - Thomas Wiecki

01:00:46

PyMCon Web Series | A Soccer-Factor-Model | Maximilian Goebel

07:47

PyMCon Web Series - Meet Maximilian Goebel

47:00

PyMCon Web Series - Automatic Probability - Q&A | Ricardo Vieira

45:12

PyMCon Web Series - Automatic Probability - Ricardo Vieira

31:50

PyMCon Web Series - Protecting Voting Rights with PyMC - Q&A | Todd Hendricks

06:20

PyMCon Web Series - Meet Ricardo Vieira

17:49

PyMCon Web Series - Protecting Voting Rights with PyMC - Todd Hendricks

09:03

PyMCon Web Series - Meet Todd Hendricks

32:42

PyMCon Web Series - Bayesian Statistics Toolbox (Hyosub Kim)

01:03:19

PyMCon Web Series - Introduction to Hilbert Space GPs in PyMC - Bill Engels

54:12

PyMCon Web Series - Scalable Bayesian Modeling - Sandra Yojana Meneses

01:03:12

PyMCon Web Series - Bayesian Statistics Toolbox - Hysob Kim

08:59

PyMCon Web Series - Meet Hyosub Kim

03:55

PyMCon Web Series - Meet Bill Engels

06:15

PyMCon Web Series - Meet Sandra Yojana Meneses

01:14:20

PyMCon Web Series - Multi Output Gaussian Processes - Danh Phan

06:55

PyMCon Web Series - Meet Danh Phan, Speaker for Multi Output Gaussian Processes

07:39

PyMCon Web Series - Meet Dante Gates

45:59

PyMCon Web Series - The Power of Bayes in Industry - Dante Gates

09:36

PyMCon Web Series - Meet Austin Rochford

05:26

PyMCon Web Series - Purna Chandra Mansingh

08:42

PyMCon Web Series - Meet Christian Luhmann

05:57

PyMCon Web Series - Meet Rob Zinkov

07:04

PyMCon Web Series - Meet Meenal Jhajharia

03:54

PyMCon Web Series - Meet Rowan Schaefer

03:40

PyMCon Web Series - Meet Fernando Irarrázaval

01:05:19

PyMC, Aesara and AePPL: The New Kids on The Block (Ricardo Vieira)

35:17

The Bayesian Workflow: Building a COVID-19 Model, Part 1 (Thomas Wiecki)

25:41

My Journey in Learning and Relearning Bayesian Statistics (Ali Akbar Septiandri)

47:06

Bayesian Machine Learning: A PyMC-Centric Introduction (Quan Nguyen)

18:46

Studying Glycan 3D Structures With PyMC and ArviZ (Agustina Arroyuelo)

48:35

[Keynote] PyMC: Past, Present, and Future (Chris Fonnesbeck)

25:32

Microbial Cell Counting in a Noisy Environment (Cameron Davidson-Pilon)

35:41

Demystifying Variational Inference (Sayam Kumar)

32:52

Posterior Predictive Sampling in PyMC by (Luciano Paz)

23:41

Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations

21:31

Calibr8: Going Beyond Linear Ranges With Non-Linear Calibration Curves and Multilevel Modeling

55:29

Learning Bayesian Statistics With Pokemon GO (Tushar Chandra)

37:08

Building an ordered logistic regression model for toxicity prediction (Elizaveta Semenova)

34:38

What Is Probability? A Philosophical Question With Practical Implications for Bayesians ( Max Sklar)

01:02:56

Hierarchical Time Series With Prophet and PyMC (Matthijs Brouns)

28:50

Hierarchical Models in Instrumental Variable Analysis for Advertising Effectiveness (Ruben Mak)

29:40

A Bayesian Approach to Media Mix Modeling (Michael Johns & Zhenyu Wang)

39:56

The MLDA Multilevel Sampler in PyMC (Tim Dodwell, Mikkel Lykkegaard, and Grigorios Mingas)

09:38

PyMCon 2020 Welcome by Ravin Kumar

01:59:02

Using Hierarchical Multinomial Regression to Predict Elections in Paris Districts (Alex Andorra)

33:11

The Why and How of One Domain-Specific PyMC Extension (Dan Foreman-Mackey)

40:24

Including Partial Differential Equations in Your PyMC Model (Ivan Yashchuk)