Learning Bayesian Statistics
Toplam süre:
36 h 13 min
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Learning Bayesian Statistics
81:37
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
Learning Bayesian Statistics
76:47
#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
Learning Bayesian Statistics
75:25
#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
Learning Bayesian Statistics
90:48
#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
Learning Bayesian Statistics
74:39
#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
Learning Bayesian Statistics
68:53
How to find black holes with Bayesian inference
Learning Bayesian Statistics
12:13
How can we even hear gravitational waves?
Learning Bayesian Statistics
08:59
#101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch
Learning Bayesian Statistics
69:54
The Role of Variational Inference in Reactive Message Passing
Learning Bayesian Statistics
10:49
Reactive Message Passing in Bayesian Inference
Learning Bayesian Statistics
08:49
#100 Reactive Message Passing & Automated Inference in Julia, with Dmitry Bagaev
Learning Bayesian Statistics
54:42
The biggest misconceptions about Bayes & Quantum Physics
Learning Bayesian Statistics
09:49
Why would you use Bayesian Statistics?
Learning Bayesian Statistics
10:53
#99 Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie
Learning Bayesian Statistics
67:31
How do sampling algorithms scale?
Learning Bayesian Statistics
09:26
Why choose new algorithms instead of HMC?
Learning Bayesian Statistics
08:42
#98 Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié
Learning Bayesian Statistics
65:07
Why Even Care About Science & Rationality
Learning Bayesian Statistics
09:43
How To Get Into Causal Inference
Learning Bayesian Statistics
10:01
#97 Probably Overthinking Statistical Paradoxes, with Allen Downey
Learning Bayesian Statistics
72:36
How to Choose & Use Priors, with Daniel Lee
Learning Bayesian Statistics
09:06
Becoming a Good Bayesian & Choosing Mentors, with Daniel Lee
Learning Bayesian Statistics
09:57
#96 Pharma Models, Sports Analytics & Stan News, with Daniel Lee
Learning Bayesian Statistics
55:51
#95 Unraveling Cosmic Mysteries, with Valerie Domcke
Learning Bayesian Statistics
60:17
#94 Psychometrics Models & Choosing Priors, with Jonathan Templin
Learning Bayesian Statistics
66:25
#93 A CERN Odyssey, with Kevin Greif
Learning Bayesian Statistics
109:05
#92 How to Make Decision Under Uncertainty, with Gerd Gigerenzer
Learning Bayesian Statistics
64:45
#91, Exploring European Football Analytics, with Max Göbel
Learning Bayesian Statistics
64:13
#90, Demystifying MCMC & Variational Inference, with Charles Margossian
Learning Bayesian Statistics
97:36
#89 Unlocking the Science of Exercise, Nutrition & Weight Management, with Eric Trexler
Learning Bayesian Statistics
119:50
#88 Bridging Computation & Inference in Artificial Intelligent Systems, with Philipp Hennig
Learning Bayesian Statistics
71:50
#87 Unlocking the Power of Bayesian Causal Inference, with Ben Vincent
Learning Bayesian Statistics
68:38
#86 Exploring Research Synchronous Languages & Hybrid Systems, with Guillaume Baudart
Learning Bayesian Statistics
58:43
#85 A Brief History of Sports Analytics, with Jim Albert
Learning Bayesian Statistics
66:11
#84 Causality in Neuroscience & Psychology, with Konrad Kording
Learning Bayesian Statistics
65:42
#83 Multilevel Regression, Post-Stratification & Electoral Dynamics, with Tarmo Jüristo
Learning Bayesian Statistics
77:21
#82 Sequential Monte Carlo & Bayesian Computation Algorithms, with Nicolas Chopin
Learning Bayesian Statistics
66:35
#81 Neuroscience of Perception: Exploring the Brain, with Alan Stocker
Learning Bayesian Statistics
74:55
#80 Bayesian Additive Regression Trees (BARTs), with Sameer Deshpande
Learning Bayesian Statistics
69:05