Close
Top Videos
Top Searches
Moods
Black Lives Matter
Chill
Christmas
Commute
Energy boosters
Feel-Good
Focus
Party
Pride
Romance
Sad
Sleep
Workout
Genres
African
Arabic
Blues
Bollywood & Indian
Christian & Gospel
Classical
Country and Americana
Dance and electronic
Decades
Family
Folk and acoustic
Hip-hop
Indie and alternative
J-Pop
Jazz
K-Pop
Latin
Mandopop & Cantopop
Metal
Pop
R&B and Soul
Reggae and Caribbean
Rock
Soundtracks and musicals
Andrew Yiu: Semiparametric posterior corrections
01:06:20
|
Download MP3
Related Videos
1:15:58
Andrew Gelman: Better than difference-in-differences
59:31
Kosuke Imai: The Cram Method for Efficient Simultaneous Learning and Evaluation
1:02:12
Peng Ding: Randomization and Regression Adjustment
1:03:20
Online Causal Inference Joint Seminar: Georgia Papadogeorgou and Lihua Lei
1:17:31
Caleb Miles: Two fundamental problems in causal mediation analysis
1:00:44
Interview with Philip Dawid
1:00:10
Anish Agarwal: Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
59:34
Elizabeth Ogburn: Social network dependence, unmeasured confounding, and the replication crisis
1:03:19
Fan Li: A tutorial on Bayesian causal inference
28:18
Nicola Gnecco: Causal Discovery in Heavy-Tailed Models
1:05:52
Wang Miao: Introducing the specificity score: a measure of causality beyond P value
59:05
Jonas Peters, Nicola Gnecco, Sorawit Saengkyongam: Invariance-based Generalization and Extrapolation
1:01:21
Fan Yang: Mediation analysis with the mediator and outcome missing not at random
1:04:11
Online Causal Inference Joint Seminar: Falco Bargagli Stoffi and Eli Ben-Michael
1:09:03
Rodrigo Pinto: What is causality? How to express it? And why it matters
1:00:17
Chengchun Shi: A reinforcement learning framework for dynamic causal effects in A/B testing
1:04:03
Robin Evans: Parameterizing and Simulating from Causal Models
1:10:33
Carlos Cinelli: Transparent and Robust Causal Inference in the Social and Health Sciences
1:00:58
Daniel McCaffrey: Nonrandom Samples and Causal Inference
1:02:00
Hyunseung Kang: Transfer Learning Between U.S. Presidential Elections