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Conditional Average Treatment Effects: Forests

Professor Susan Athey discusses causal forests in conditional average treatment effects.

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Robust Estimation of Treatment Heterogeneity
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Robust Estimation of Treatment Heterogeneity

Conditional Average Treatment Effects: Overview
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Conditional Average Treatment Effects: Overview

Statistics - A Full Lecture to learn Data Science (2025 Version)
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Statistics - A Full Lecture to learn Data Science (2025 Version)

Conditional Average Treatment Effects: Trees
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Conditional Average Treatment Effects: Trees

Solving Heterogeneous Estimating Equations Using Forest Based Algorithms
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Solving Heterogeneous Estimating Equations Using Forest Based Algorithms

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How To Learn So Fast It’s Almost Unfair

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What is causal inference, and why should data scientists know? by Ludvig Hult

Susan Athey and Stefan Wager: Estimating Heterogeneous Treatment Effects in R
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Susan Athey and Stefan Wager: Estimating Heterogeneous Treatment Effects in R

An introduction to Causal Inference with Python – making accurate estimates of cause and effect from
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An introduction to Causal Inference with Python – making accurate estimates of cause and effect from

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Susan Athey Guest Talk - Estimating Heterogeneous Treatment Effects

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Bayesian Inference: Overview

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Last Lecture Series: “How to Win Without Crushing Your Soul” - Graham Weaver

Average Treatment Effects: Introduction
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Average Treatment Effects: Introduction

Lectures on Causality: Jonas Peters, Part 1
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Lectures on Causality: Jonas Peters, Part 1

R - Conditional Inference Trees and Random Forests
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R - Conditional Inference Trees and Random Forests

Support Vector Machines Part 1 (of 3): Main Ideas!!!
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Support Vector Machines Part 1 (of 3): Main Ideas!!!

All of Statistics in 1 Hour (ultimate study guide)
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All of Statistics in 1 Hour (ultimate study guide)

Double Machine Learning for Causal and Treatment Effects
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Double Machine Learning for Causal and Treatment Effects

Susan Athey: Machine Learning and Causal Inference for Personalization
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Susan Athey: Machine Learning and Causal Inference for Personalization

Average Treatment Effects: Double Robustness
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Average Treatment Effects: Double Robustness

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