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BITESIZE | How Probability Becomes Causality?
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AI Assisted Causal Inference, with Sam Witty
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BITESIZE | How to Think Causally About Your Models?
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NFL Analytics & Teaching Bayesian Stats, with Ron Yurko
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BITESIZE | Is Bayesian Optimization the Answer?
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Efficient Bayesian Optimization in PyTorch, with Max Balandat
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BITESIZE | What's Missing in Bayesian Deep Learning?
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Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London
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BITESIZE | Practical Applications of Causal AI with LLMs, with Robert Ness
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Causal AI & Generative Models, with Robert Ness
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BITESIZE | How to Make Your Models Faster, with Haavard Rue & Janet van Niekerk
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Bayesian Inference at Scale: Unveiling INLA, with Haavard Rue & Janet van Niekerk
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BITESIZE | Understanding Simulation-Based Calibration, with Teemu Säilynoja
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Bayesian Calibration and Model Checking, with Teemu Säilynoja
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Live Show Announcement | Come Meet Me in London!
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BITESIZE | Exploring Dynamic Regression Models, with David Kohns
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Bayesian Econometrics, State Space Models & Dynamic Regression, with David Kohns
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BITESIZE | Why Your Models Might Be Wrong & How to Fix it, with Sean Pinkney & Adrian Seyboldt
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Making Models More Efficient & Flexible, with Sean Pinkney & Adrian Seyboldt
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BITESIZE | How AI is Redefining Human Interactions, with Tom Griffiths
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Bayesian Cognition and the Future of Human-AI Interaction, with Tom Griffiths
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BITESIZE | Hacking Bayesian Models for Better Performance, with Luke Bornn
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Decision-Making Under High Uncertainty, with Luke Bornn
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BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski
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The Real-World Impact of Epidemiological Models, with Adam Kucharski
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BITESIZE | The Why & How of Bayesian Deep Learning, with Vincent Fortuin
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Bayesian Deep Learning & AI for Science with Vincent Fortuin
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Building a Winning Data Team in Football, with Matt Penn
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Saving Sharks... with Python, Causal Inference and Aaron MacNeil
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MMM, CLV & Bayesian Marketing Analytics, with Will Dean
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Bayesian Sports Analytics & The Future of PyMC, with Chris Fonnesbeck
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State Space Models & Structural Time Series, with Jesse Grabowski
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BART & The Future of Bayesian Tools, with Osvaldo Martin
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Learning and Teaching in the Age of AI, with Hugo Bowne-Anderson
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Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde
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Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant
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Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec
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Exploring the Future of Stan, with Charles Margossian & Brian Ward
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Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
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Mastering Soccer Analytics, with Ravi Ramineni
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Using Time Series to Estimate Uncertainty, with Nate Haines
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From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa
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A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
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Advanced Bayesian Regression, with Tomi Capretto
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Nerdinsights from the Football Field, with Patrick Ward
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Unpacking Bayesian Methods in AI with Sam Duffield
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Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
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Modeling Sports & Extracting Player Values, with Paul Sabin
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Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
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Active Statistics, Two Truths & a Lie, with Andrew Gelman
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The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
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Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
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Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
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Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
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How to find black holes with Bayesian inference
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How can we even hear gravitational waves?
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Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch
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The Role of Variational Inference in Reactive Message Passing
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Reactive Message Passing in Bayesian Inference
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Reactive Message Passing & Automated Inference in Julia, with Dmitry Bagaev
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The biggest misconceptions about Bayes & Quantum Physics
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Why would you use Bayesian Statistics?
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Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie
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How do sampling algorithms scale?
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Why choose new algorithms instead of HMC?
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Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié
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Why Even Care About Science & Rationality
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How To Get Into Causal Inference
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Probably Overthinking Statistical Paradoxes, with Allen Downey
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How to Choose & Use Priors, with Daniel Lee
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Becoming a Good Bayesian & Choosing Mentors, with Daniel Lee
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Pharma Models, Sports Analytics & Stan News, with Daniel Lee
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Unraveling Cosmic Mysteries, with Valerie Domcke
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Psychometrics Models & Choosing Priors, with Jonathan Templin
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A CERN Odyssey, with Kevin Greif
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How to Make Decision Under Uncertainty, with Gerd Gigerenzer
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Exploring European Football Analytics, with Max Göbel
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Demystifying MCMC & Variational Inference, with Charles Margossian
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Unlocking the Science of Exercise, Nutrition & Weight Management, with Eric Trexler
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Bridging Computation & Inference in Artificial Intelligent Systems, with Philipp Hennig
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Unlocking the Power of Bayesian Causal Inference, with Ben Vincent
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Exploring Research Synchronous Languages & Hybrid Systems, with Guillaume Baudart
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#85 A Brief History of Sports Analytics, with Jim Albert
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Causality in Neuroscience & Psychology, with Konrad Kording
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Multilevel Regression, Post-Stratification & Electoral Dynamics, with Tarmo Jüristo
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Sequential Monte Carlo & Bayesian Computation Algorithms, with Nicolas Chopin
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Neuroscience of Perception: Exploring the Brain, with Alan Stocker
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Bayesian Additive Regression Trees (BARTs), with Sameer Deshpande
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Decision-Making & Cost Effectiveness Analysis for Health Economics, with Gianluca Baio
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Exploring MCMC Sampler Algorithms, with Matt D. Hoffman
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How a Simple Dress Helped Uncover Hidden Prejudices, with Pascal Wallisch
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The Past, Present & Future of Stan, with Bob Carpenter
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The Physics of Top Gun 2 Maverick, with Jason Berndt
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Optimizing NUTS and Developing the ZeroSumNormal Distribution, with Adrian Seyboldt
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A Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica Hullman
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Why the Universe is so Deliciously Crazy, with Daniel Whiteson
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Artificial Intelligence, Deepmind & Social Change, with Julien Cornebise
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Teaching Bayes for Biology & Biological Engineering, with Justin Bois
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Why, When & How to use Bayes Factors, with Jorge Tendeiro
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Probabilistic Machine Learning & Generative Models, with Kevin Murphy
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