Skip to main navigation
Skip to search
Skip to main content
NYU Scholars Home
Help & FAQ
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Bayesian nonparametric modeling for causal inference
Jennifer L. Hill
Applied Statistics, Social Science, and Humanities
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bayesian nonparametric modeling for causal inference'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Bayesian Additive Regression Trees
100%
Bayesian Nonparametric Modeling
100%
Ignorability
25%
Variable Data
25%
Weighted Estimator
25%
Regression Adjustment
25%
Mathematics
Regression tree
66%
Ignorability
16%
Correct Model
16%
Outcome Variable
16%