Exchangeability Review

Today I again talk about

Today I talk about

An introduction to the concept of

This condition is called

Exchangeability

An explanation of the relationship between

In this part of the Introduction to Causal Inference course, we cover ignorability and

For more information on econometrics and Bayesian statistics, see: https://ben-lambert.com/

Review

BDA 2019 Lecture 7.2:

Abstract: Given well-shuffled data, can we determine whether the data items are statistically (in)dependent? Formally, we consider ...

In this video, I introduce and explain our most important and perhaps hardest to grasp causal inference assumption so far: ...

Please join the FB group: https://www.facebook.com/groups/mumfordbrainstats/ or Follow the ...

MIFODS - Workshop on Graphical models,

In this part of the Introduction to Causal Inference course, we cover conditional

A discussion of the concept of

Talk given at EBEB 2014 http://www.ime.usp.br/~isbra/ebeb/ebeb2014/ 12th Brazilian Meeting on Bayesian Statistics March, ...

In this video, I continue with our causal inference assumption of

May 17, 2017 Tamara Broderick MIT EECS, CSAIL, and IDSS Edge-

Response to Neural Information Processing Systems (NIPS) 2016 paper by Tamara Broderick, Diana Cai and Trevor Campbell.