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Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
v1v2 (latest)

Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

20 January 2022
D. Ham
Kosuke Imai
Lucas Janson
    CML
ArXiv (abs)PDFHTML

Papers citing "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis"

5 / 5 papers shown
Title
Jump Starting Bandits with LLM-Generated Prior Knowledge
Jump Starting Bandits with LLM-Generated Prior Knowledge
P. A. Alamdari
Yanshuai Cao
Kevin H. Wilson
73
2
0
27 Jun 2024
Design-Based Inference for Multi-arm Bandits
Design-Based Inference for Multi-arm Bandits
D. Ham
Iavor Bojinov
Michael Lindon
M. Tingley
104
1
0
27 Feb 2023
Reconciling model-X and doubly robust approaches to conditional
  independence testing
Reconciling model-X and doubly robust approaches to conditional independence testing
Ziang Niu
Abhinav Chakraborty
O. Dukes
Eugene Katsevich
72
7
0
27 Nov 2022
Anytime Valid Tests of Conditional Independence Under Model-X
Anytime Valid Tests of Conditional Independence Under Model-X
Peter Grünwald
A. Henzi
Tyron Lardy
108
19
0
26 Sep 2022
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize
  Power Beyond iid Sampling
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize Power Beyond iid Sampling
D. Ham
Jia Qiu
36
1
0
05 May 2022
1