01:08:13

#121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde

01:08:13

#121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde

01:01:40

#120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant

01:01:40

#120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant

01:25:01

#119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec

01:25:01

#119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec

58:51

#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward

58:51

#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward

01:13:12

#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova

01:13:12

#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova

01:32:47

#116 Mastering Soccer Analytics, with Ravi Ramineni

01:32:47

#116 Mastering Soccer Analytics, with Ravi Ramineni

01:39:51

#115 Using Time Series to Estimate Uncertainty, with Nate Haines

01:39:51

#115 Using Time Series to Estimate Uncertainty, with Nate Haines

01:01:32

#114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa

01:01:32

#114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa

01:30:52

#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast

01:30:52

#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast

01:27:19

#112 Advanced Bayesian Regression, with Tomi Capretto

01:27:19

#112 Advanced Bayesian Regression, with Tomi Capretto

01:25:44

#111 Nerdinsights from the Football Field, with Patrick Ward

01:25:44

#111 Nerdinsights from the Football Field, with Patrick Ward

01:12:28

#110 Unpacking Bayesian Methods in AI with Sam Duffield

01:12:28

#110 Unpacking Bayesian Methods in AI with Sam Duffield

01:10:50

#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter

01:10:50

#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter

01:18:05

#108 Modeling Sports & Extracting Player Values, with Paul Sabin

01:18:05

#108 Modeling Sports & Extracting Player Values, with Paul Sabin

01:21:38

#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt

01:21:38

#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt

01:59:10

[MODELING WEBINAR] Fast & Efficient Gaussian Processes | Part 1 | Juan Orduz

01:16:47

#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman

01:16:47

#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman

01:15:26

#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff

01:15:26

#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff

01:30:48

#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad

01:30:48

#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad

01:14:39

#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami

01:49:18

[MODELING WEBINAR] -- Bayesian Causal Inference & Propensity Scores, with Nathaniel Forde

01:14:39

#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami

01:08:54

#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle

01:08:54

#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle

12:13

How to find black holes with Bayesian inference

09:00

How can we even hear gravitational waves?

01:17:36

#101 Black Holes Collisions & Gravitational Waves, LIGO Experts Christopher Berry & John Veitch

01:09:54

#101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch

10:50

The Role of Variational Inference in Reactive Message Passing

08:49

Reactive Message Passing in Bayesian Inference

01:01:52

#100 Reactive Message Passing & Automated Inference in Julia, with Dmitry Bagaev

54:42

#100 Reactive Message Passing & Automated Inference in Julia, with Dmitry Bagaev

09:50

The biggest misconceptions about Bayes & Quantum Physics

10:54

Why would you use Bayesian Statistics?

01:21:12

#99 Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie

01:07:32

#99 Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie

01:01

episode 98 Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié

09:27

How do sampling algorithms scale?

08:43

Why choose new algorithms instead of HMC?

01:11:20

#98 Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié

01:05:07

#98 Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié

09:43

Why Even Care About Science & Rationality