Statistical Rethinking 2022 Lecture 06 - Good & Bad Controls
Slides and other course materials: https://github.com/rmcelreath/stat_re... Intro video: • Video Intro music: • Europe - The Final Countdown | Epic Orches... Chapters: 00:00 Introduction 01:23 Parent collider 08:13 DAG thinking 27:48 Backdoor criterion 44:46 Good and bad controls 01:13:19 Table 2 Fallacy 01:25:04 Summary and outlook
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Statistical Rethinking 2022 Lecture 07 - Overfitting
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Statistical Rethinking 2022 Lecture 08 - Markov chain Monte Carlo
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Statistical Rethinking 2023 - 06 - Good & Bad Controls
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Always Valid Inference: Continuous Monitoring of A/B Tests
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Statistical Rethinking 2022 Lecture 05 - Elemental Confounds
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Statistical Rethinking 2026 - Lecture B02 - Multilevel Model Expansion
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Andrew Gelman: Better than difference-in-differences
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We're 99.9% sure this pattern is true, but no one can prove it
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Statistical Rethinking 2026 - Lecture B01 - Multilevel Models
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Causal Effects via DAGs | How to Handle Unobserved Confounders
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Statistical Rethinking 2023 - 08 - Markov Chain Monte Carlo
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Bayes theorem, the geometry of changing beliefs
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Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains
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Statistical Rethinking 2022 Lecture 01 - Golem of Prague
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Causality for Psychologists and Social Scientists - 03 Causal Identification and Backdoor Criterion
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Richard Thaler on Behavioral Economics: Past, Present, and Future. The 2018 Ryerson Lecture
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I Analysed 47,000 Games of Catan. Here's How to Win Every Time (mathematically) 🎲🐑
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Statistical Rethinking 2022 Lecture 16 - Gaussian Processes
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