Normal Curves is a podcast about sexy science & serious statistics. Ever try to make sense of a scientific study and the numbers behind it? Listen in to a lively conversation between two stats-savvy friends who break it all down with humor and clarity. Professors Regina Nuzzo of Gallaudet University and Kristin Sainani of Stanford University discuss academic papers journal club-style — except with more fun, less jargon, and some irreverent, PG-13 content sprinkled in. Join Kristin and Regina ...
…
continue reading
Statistical Inference Podcasts
Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
…
continue reading
Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.
…
continue reading
1
BITESIZE | Is Bayesian Optimization the Answer?
25:13
25:13
Play later
Play later
Lists
Like
Liked
25:13
Today’s clip is from episode 139 of the podcast, with with Max Balandat. Alex and Max discuss the integration of BoTorch with PyTorch, exploring its applications in Bayesian optimization and Gaussian processes. They highlight the advantages of using GPyTorch for structured matrices and the flexibility it offers for research. The discussion also cov…
…
continue reading
1
Age Gaps: How much does age matter in dating?
49:42
49:42
Play later
Play later
Lists
Like
Liked
49:42
Are we all secretly ageist when it comes to dating? We put the stereotype that older men prefer younger women under the microscope using data from thousands of blind dates. What we found surprised us: the “age penalty” was real but microscopic, women wanted younger partners too, and hard age cutoffs weren’t so hard after all. Along the way, we unpa…
…
continue reading
1
#139 Efficient Bayesian Optimization in PyTorch, with Max Balandat
1:25:23
1:25:23
Play later
Play later
Lists
Like
Liked
1:25:23
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading
1
BITESIZE | What's Missing in Bayesian Deep Learning?
20:34
20:34
Play later
Play later
Lists
Like
Liked
20:34
Today’s clip is from episode 138 of the podcast, with Mélodie Monod, François-Xavier Briol and Yingzhen Li. During this live show at Imperial College London, Alex and his guests delve into the complexities and advancements in Bayesian deep learning, focusing on uncertainty quantification, the integration of machine learning tools, and the challenge…
…
continue reading
1
Your Brain on AI: Is ChatGPT making us mentally lazy?
1:14:07
1:14:07
Play later
Play later
Lists
Like
Liked
1:14:07
ChatGPT is melting our brainpower, killing creativity, and making us soulless — or so the headlines imply. We dig into the study behind the claims, starting with quirky bar charts and mysterious sample sizes, then winding through hairball-like brain diagrams and tens of thousands of statistical tests. Our statistical sleuthing leaves us with questi…
…
continue reading
1
#138 Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London
1:23:10
1:23:10
Play later
Play later
Lists
Like
Liked
1:23:10
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading
1
BITESIZE | Practical Applications of Causal AI with LLMs, with Robert Ness
25:28
25:28
Play later
Play later
Lists
Like
Liked
25:28
Today’s clip is from episode 137 of the podcast, with Robert Ness. Alex and Robert discuss the intersection of causal inference and deep learning, emphasizing the importance of understanding causal concepts in statistical modeling. The discussion also covers the evolution of probabilistic machine learning, the role of inductive biases, and the pote…
…
continue reading
1
The Backfire Effect: Can fact-checking make false beliefs stronger?
58:26
58:26
Play later
Play later
Lists
Like
Liked
58:26
Can correcting misinformation make it worse? The “backfire effect” claims that debunking myths can actually make false beliefs stronger. We dig into the evidence — from ghost studies to headline-making experiments — to see if this psychological plot twist really holds up. Along the way, we unpack interaction effects, randomization red flags, and wh…
…
continue reading
1
#137 Causal AI & Generative Models, with Robert Ness
1:38:19
1:38:19
Play later
Play later
Lists
Like
Liked
1:38:19
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading
1
BITESIZE | How to Make Your Models Faster, with Haavard Rue & Janet van Niekerk
17:53
17:53
Play later
Play later
Lists
Like
Liked
17:53
Today’s clip is from episode 136 of the podcast, with Haavard Rue & Janet van Niekerk. Alex, Haavard and Janet explore the world of Bayesian inference with INLA, a fast and deterministic method that revolutionizes how we handle large datasets and complex models. Discover the power of INLA, and why it can make your models go much faster! Get the ful…
…
continue reading
1
Dating Wishlists: Are we happier when we get what we want in a mate?
1:05:31
1:05:31
Play later
Play later
Lists
Like
Liked
1:05:31
Loyal, funny, hot — you’ve probably got a wish list for your dream partner. But does checking all your boxes actually lead to happily ever after? In this episode, we dive into a massive global study that put the “ideal partner” hypothesis to the test. Do people really know what they want, and does getting it actually make them happier? We explore s…
…
continue reading
1
#136 Bayesian Inference at Scale: Unveiling INLA, with Haavard Rue & Janet van Niekerk
1:17:37
1:17:37
Play later
Play later
Lists
Like
Liked
1:17:37
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading
1
BITESIZE | Understanding Simulation-Based Calibration, with Teemu Säilynoja
21:14
21:14
Play later
Play later
Lists
Like
Liked
21:14
Get 10% off Hugo's "Building LLM Applications for Data Scientists and Software Engineers" online course! Today’s clip is from episode 135 of the podcast, with Teemu Säilynoja. Alex and Teemu discuss the importance of simulation-based calibration (SBC). They explore the practical implementation of SBC in probabilistic programming languages, the chal…
…
continue reading
1
Stats Reunion: What have we learned so far?
56:00
56:00
Play later
Play later
Lists
Like
Liked
56:00
It’s our first stats reunion! In this special review episode, we revisit favorite concepts from past episodes—p-values, multiple testing, regression adjustment—and give them fresh personalities as characters. Meet the seductive false positive, the clingy post hoc ex, and Charlotte, the well-meaning but overfitting idealist. Statistical topics Bar c…
…
continue reading
1
Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
52:55
52:55
Play later
Play later
Lists
Like
Liked
52:55
Emily Riederer is a Data Science Senior Manager at Credit Risk Modeling Capital One. Her website can be found here: https://www.emilyriederer.com/ Follow along on Bluesky: Emily: @emilyriederer.bsky.social Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social 🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.…
…
continue reading
1
#135 Bayesian Calibration and Model Checking, with Teemu Säilynoja
1:12:13
1:12:13
Play later
Play later
Lists
Like
Liked
1:12:13
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading
1
Live Show Announcement | Come Meet Me in London!
3:04
3:04
Play later
Play later
Lists
Like
Liked
3:04
ICYMI, I'll be in London next week, for a live episode of the Learning Bayesian Statistics podcast 🍾 Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification — not just in theory, but in the messy, practical reality of building models that are supposed to work in the real world. 🎟️ Get your tickets! Some …
…
continue reading
1
BITESIZE | Exploring Dynamic Regression Models, with David Kohns
14:34
14:34
Play later
Play later
Lists
Like
Liked
14:34
Today’s clip is from episode 134 of the podcast, with David Kohns. Alex and David discuss the future of probabilistic programming, focusing on advancements in time series modeling, model selection, and the integration of AI in prior elicitation. The discussion highlights the importance of setting appropriate priors, the challenges of computational …
…
continue reading
1
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
52:05
52:05
Play later
Play later
Lists
Like
Liked
52:05
Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute. Resources from this episode: multicate: R package for estimating conditional average treatment effects across one or more studies using machine learning methods PCORnet® Front Door: Access point for potential investiga…
…
continue reading
1
HPV Vaccine: How close are we to wiping out cervical cancer?
1:15:57
1:15:57
Play later
Play later
Lists
Like
Liked
1:15:57
Could a preteen vaccine wipe out a global cancer? In this episode, we examine the bold claim that cervical cancer could be eradicated in much of the world by the end of the century—thanks to the highly effective HPV vaccine. We unpack statistical modeling, microsimulations, and how Markov chains make good date-night conversation. We also explore wh…
…
continue reading
1
#134 Bayesian Econometrics, State Space Models & Dynamic Regression, with David Kohns
1:40:55
1:40:55
Play later
Play later
Lists
Like
Liked
1:40:55
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading
1
BITESIZE | Why Your Models Might Be Wrong & How to Fix it, with Sean Pinkney & Adrian Seyboldt
17:04
17:04
Play later
Play later
Lists
Like
Liked
17:04
Today’s clip is from episode 133 of the podcast, with Sean Pinkney & Adrian Seyboldt. The conversation delves into the concept of Zero-Sum Normal and its application in statistical modeling, particularly in hierarchical models. Alex, Sean and Adrian discuss the implications of using zero-sum constraints, the challenges of incorporating new data poi…
…
continue reading
