PyMCon Web Series - Enabling Uncertainty Quantification - Q&A | Anne Reinarz & Linus Seelinger
PyMC Developers
PyMCon Web Series - Enabling Uncertainty Quantification - Q&A | Anne Reinarz & Linus Seelinger
17:09
PyMCon Web Series - Enabling Uncertainty Quantification | Anne Reinarz & Linus Seelinger | Tutorial
PyMC Developers
PyMCon Web Series - Enabling Uncertainty Quantification | Anne Reinarz & Linus Seelinger | Tutorial
59:41
PyMCon Web Series - Introduction to Uncertainty Quantification (UQ) and UM-Bridge | Linus Seelinger
PyMC Developers
PyMCon Web Series - Introduction to Uncertainty Quantification (UQ) and UM-Bridge | Linus Seelinger
21:55
PyMCon Web Series - Anne Reinarz & Linus Seelinger
PyMC Developers
PyMCon Web Series - Anne Reinarz & Linus Seelinger
11:29
PyMCon Web Series - Missing Value Imputation with Item Response Theory - Q&A | Allen & Ricardo
PyMC Developers
PyMCon Web Series - Missing Value Imputation with Item Response Theory - Q&A | Allen & Ricardo
53:36
PyMCon Web Series -Missing Value Imputation with Item Response Theory -Allen Downey & Ricardo Vieira
PyMC Developers
PyMCon Web Series -Missing Value Imputation with Item Response Theory -Allen Downey & Ricardo Vieira
40:00
PyMCon Web Series - Meet Allen Downey & Ricardo Vieira
PyMC Developers
PyMCon Web Series - Meet Allen Downey & Ricardo Vieira
16:58
PyMCon Web Series - The Only Constant is Change: Bespoke Changepoint Modelling in PyMC | Abuzar
PyMC Developers
PyMCon Web Series - The Only Constant is Change: Bespoke Changepoint Modelling in PyMC | Abuzar
55:08
PyMCon Web Series - Bespoke Changepoint Modelling in PyMC - Model Walkthroughs by Abuzar Mahmood
PyMC Developers
PyMCon Web Series - Bespoke Changepoint Modelling in PyMC - Model Walkthroughs by Abuzar Mahmood
1:18:14
PyMCon Web Series - Meet Dr. Abuzar Mahmood
PyMC Developers
PyMCon Web Series - Meet Dr. Abuzar Mahmood
10:06
PyMCon Web Series - Bayesian Causal Modeling - Q&A | Thomas Wiecki
PyMC Developers
PyMCon Web Series - Bayesian Causal Modeling - Q&A | Thomas Wiecki
54:12
PyMCon Web Series - Bayesian Causal Modeling - Thomas Wiecki
PyMC Developers
PyMCon Web Series - Bayesian Causal Modeling - Thomas Wiecki
56:29
PyMCon Web Series | A Soccer-Factor-Model | Maximilian Goebel
PyMC Developers
PyMCon Web Series | A Soccer-Factor-Model | Maximilian Goebel
1:00:46
PyMCon Web Series - Meet Maximilian Goebel
PyMC Developers
PyMCon Web Series - Meet Maximilian Goebel
7:47
PyMCon Web Series - Automatic Probability - Q&A | Ricardo Vieira
PyMC Developers
PyMCon Web Series - Automatic Probability - Q&A | Ricardo Vieira
47:00
PyMCon Web Series - Automatic Probability - Ricardo Vieira
PyMC Developers
PyMCon Web Series - Automatic Probability - Ricardo Vieira
45:12
PyMCon Web Series - Protecting Voting Rights with PyMC - Q&A | Todd Hendricks
PyMC Developers
PyMCon Web Series - Protecting Voting Rights with PyMC - Q&A | Todd Hendricks
31:50
PyMCon Web Series - Meet Ricardo Vieira
PyMC Developers
PyMCon Web Series - Meet Ricardo Vieira
6:20
PyMCon Web Series - Protecting Voting Rights with PyMC - Todd Hendricks
PyMC Developers
PyMCon Web Series - Protecting Voting Rights with PyMC - Todd Hendricks
17:49
PyMCon Web Series - Meet Todd Hendricks
PyMC Developers
PyMCon Web Series - Meet Todd Hendricks
9:03
PyMCon Web Series - Bayesian Statistics Toolbox (Hyosub Kim)
PyMC Developers
PyMCon Web Series - Bayesian Statistics Toolbox (Hyosub Kim)
32:42
PyMCon Web Series - Introduction to Hilbert Space GPs in PyMC - Bill Engels
PyMC Developers
PyMCon Web Series - Introduction to Hilbert Space GPs in PyMC - Bill Engels
1:03:19
PyMCon Web Series - Scalable Bayesian Modeling - Sandra Yojana Meneses
PyMC Developers
PyMCon Web Series - Scalable Bayesian Modeling - Sandra Yojana Meneses
54:12
PyMCon Web Series - Bayesian Statistics Toolbox - Hysob Kim
PyMC Developers
PyMCon Web Series - Bayesian Statistics Toolbox - Hysob Kim
1:03:12
PyMCon Web Series - Meet Hyosub Kim
PyMC Developers
PyMCon Web Series - Meet Hyosub Kim
8:59
PyMCon Web Series - Meet Bill Engels
PyMC Developers
PyMCon Web Series - Meet Bill Engels
3:55
PyMCon Web Series - Meet Sandra Yojana Meneses
PyMC Developers
PyMCon Web Series - Meet Sandra Yojana Meneses
6:15
PyMCon Web Series - Multi Output Gaussian Processes - Danh Phan
PyMC Developers
PyMCon Web Series - Multi Output Gaussian Processes - Danh Phan
1:14:20
PyMCon Web Series - Meet Danh Phan, Speaker for Multi Output Gaussian Processes
PyMC Developers
PyMCon Web Series - Meet Danh Phan, Speaker for Multi Output Gaussian Processes
6:55
PyMCon Web Series - Meet Dante Gates
PyMC Developers
PyMCon Web Series - Meet Dante Gates
7:39
PyMCon Web Series - The Power of Bayes in Industry - Dante Gates
PyMC Developers
PyMCon Web Series - The Power of Bayes in Industry - Dante Gates
45:59
PyMCon Web Series - Meet Austin Rochford
PyMC Developers
PyMCon Web Series - Meet Austin Rochford
9:36
PyMCon Web Series - Purna Chandra Mansingh
PyMC Developers
PyMCon Web Series - Purna Chandra Mansingh
5:26
PyMCon Web Series - Meet Christian Luhmann
PyMC Developers
PyMCon Web Series - Meet Christian Luhmann
8:42
PyMCon Web Series - Meet Rob Zinkov
PyMC Developers
PyMCon Web Series - Meet Rob Zinkov
5:57
PyMCon Web Series - Meet Meenal Jhajharia
PyMC Developers
PyMCon Web Series - Meet Meenal Jhajharia
7:04
PyMCon Web Series - Meet Rowan Schaefer
PyMC Developers
PyMCon Web Series - Meet Rowan Schaefer
3:54
PyMCon Web Series - Meet Fernando Irarrázaval
PyMC Developers
PyMCon Web Series - Meet Fernando Irarrázaval
3:40
PyMC, Aesara and AePPL: The New Kids on The Block (Ricardo Vieira)
PyMC Developers
PyMC, Aesara and AePPL: The New Kids on The Block (Ricardo Vieira)
1:05:19
The Bayesian Workflow: Building a COVID-19 Model, Part 1 (Thomas Wiecki)
PyMC Developers
The Bayesian Workflow: Building a COVID-19 Model, Part 1 (Thomas Wiecki)
35:17
Calibr8: Going Beyond Linear Ranges With Non-Linear Calibration Curves and Multilevel Modeling
PyMC Developers
Calibr8: Going Beyond Linear Ranges With Non-Linear Calibration Curves and Multilevel Modeling
21:31
Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations
PyMC Developers
Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations
23:41
Posterior Predictive Sampling in PyMC by (Luciano Paz)
PyMC Developers
Posterior Predictive Sampling in PyMC by (Luciano Paz)
32:52
Demystifying Variational Inference (Sayam Kumar)
PyMC Developers
Demystifying Variational Inference (Sayam Kumar)
35:41
Microbial Cell Counting in a Noisy Environment (Cameron Davidson-Pilon)
PyMC Developers
Microbial Cell Counting in a Noisy Environment (Cameron Davidson-Pilon)
25:32
[Keynote] PyMC: Past, Present, and Future (Chris Fonnesbeck)
PyMC Developers
[Keynote] PyMC: Past, Present, and Future (Chris Fonnesbeck)
48:35
Studying Glycan 3D Structures With PyMC and ArviZ (Agustina Arroyuelo)
PyMC Developers
Studying Glycan 3D Structures With PyMC and ArviZ (Agustina Arroyuelo)
18:46
Bayesian Machine Learning: A PyMC-Centric Introduction (Quan Nguyen)
PyMC Developers
Bayesian Machine Learning: A PyMC-Centric Introduction (Quan Nguyen)
47:06
My Journey in Learning and Relearning Bayesian Statistics (Ali Akbar Septiandri)
PyMC Developers
My Journey in Learning and Relearning Bayesian Statistics (Ali Akbar Septiandri)
25:41
Estimating the Causal Network of Developmental Neurotoxicants Using PyMC by (Nicoleta Spînu)
PyMC Developers
Estimating the Causal Network of Developmental Neurotoxicants Using PyMC by (Nicoleta Spînu)
28:37
Including Partial Differential Equations in Your PyMC Model (Ivan Yashchuk)
PyMC Developers
Including Partial Differential Equations in Your PyMC Model (Ivan Yashchuk)
40:24
The Why and How of One Domain-Specific PyMC Extension (Dan Foreman-Mackey)
PyMC Developers
The Why and How of One Domain-Specific PyMC Extension (Dan Foreman-Mackey)
33:11
Using Hierarchical Multinomial Regression to Predict Elections in Paris Districts (Alex Andorra)
PyMC Developers
Using Hierarchical Multinomial Regression to Predict Elections in Paris Districts (Alex Andorra)
1:59:02
PyMCon 2020 Welcome by Ravin Kumar
PyMC Developers
PyMCon 2020 Welcome by Ravin Kumar
9:38
The MLDA Multilevel Sampler in PyMC (Tim Dodwell, Mikkel Lykkegaard, and Grigorios Mingas)
PyMC Developers
The MLDA Multilevel Sampler in PyMC (Tim Dodwell, Mikkel Lykkegaard, and Grigorios Mingas)
39:56
A Bayesian Approach to Media Mix Modeling (Michael Johns & Zhenyu Wang)
PyMC Developers
A Bayesian Approach to Media Mix Modeling (Michael Johns & Zhenyu Wang)
29:40
Hierarchical Models in Instrumental Variable Analysis for Advertising Effectiveness (Ruben Mak)
PyMC Developers
Hierarchical Models in Instrumental Variable Analysis for Advertising Effectiveness (Ruben Mak)
28:50
Hierarchical Time Series With Prophet and PyMC (Matthijs Brouns)
PyMC Developers
Hierarchical Time Series With Prophet and PyMC (Matthijs Brouns)
1:02:56
What Is Probability? A Philosophical Question With Practical Implications for Bayesians ( Max Sklar)
PyMC Developers
What Is Probability? A Philosophical Question With Practical Implications for Bayesians ( Max Sklar)
34:38
Building an ordered logistic regression model for toxicity prediction (Elizaveta Semenova)
PyMC Developers
Building an ordered logistic regression model for toxicity prediction (Elizaveta Semenova)
37:08
Learning Bayesian Statistics With Pokemon GO (Tushar Chandra)
PyMC Developers
Learning Bayesian Statistics With Pokemon GO (Tushar Chandra)
55:29
Sequential Monte Carlo: Introduction and Diagnostics (Pedro German Ramirez & Osvaldo Martin)
PyMC Developers
Sequential Monte Carlo: Introduction and Diagnostics (Pedro German Ramirez & Osvaldo Martin)
18:43
The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey)
PyMC Developers
The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey)
33:09
[Keynote] A Few of My Favorite Diagnostics (Aki Vehtari)
PyMC Developers
[Keynote] A Few of My Favorite Diagnostics (Aki Vehtari)
58:54
Priors of Great Potential - How You Can Add Fairness Constraints to Models Using Priors
PyMC Developers
Priors of Great Potential - How You Can Add Fairness Constraints to Models Using Priors
1:04:22
The Bayesian Workflow: Building a COVID-19 Model, Part 2 (Thomas Wiecki)
PyMC Developers
The Bayesian Workflow: Building a COVID-19 Model, Part 2 (Thomas Wiecki)
33:48
[Keynote] Inferring the spread of SARS-CoV-2 --- and measures to mitigate it (Viola Priesemann)
PyMC Developers
[Keynote] Inferring the spread of SARS-CoV-2 --- and measures to mitigate it (Viola Priesemann)
47:06
Novel Bayesian Model to Fit Spectrophotometric Data of Hubble & Spitzer Space Telescopes (Mo Ashkik)
PyMC Developers
Novel Bayesian Model to Fit Spectrophotometric Data of Hubble & Spitzer Space Telescopes (Mo Ashkik)
31:29
Partial Missing Multivariate Observation and What to Do With Them (Junpeng Lao)
PyMC Developers
Partial Missing Multivariate Observation and What to Do With Them (Junpeng Lao)
41:46
An Alcohol? What Are the Chances! Knowledge-Based and Probabilistic Models in Chemistry Using PyMC
PyMC Developers
An Alcohol? What Are the Chances! Knowledge-Based and Probabilistic Models in Chemistry Using PyMC
19:42
A Tour of Model Checking Techniques (Rob Zinkov)
PyMC Developers
A Tour of Model Checking Techniques (Rob Zinkov)
46:12
Interviews with PyMC Maintainers and Community Members (sponsored by Tidelift)
PyMC Developers
Interviews with PyMC Maintainers and Community Members (sponsored by Tidelift)
15:00