Log-linear Bayesian additive regression trees for multinomial logistic and count regression models
JS Murray - Journal of the American Statistical Association, 2021 - Taylor & Francis
We introduce Bayesian additive regression trees (BART) for log-linear models including
multinomial logistic regression and count regression with zero-inflation and overdispersion …
multinomial logistic regression and count regression with zero-inflation and overdispersion …
-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
As an important problem in causal inference, we discuss the identification and estimation of
treatment effects (TEs) under limited overlap; that is, when subjects with certain features …
treatment effects (TEs) under limited overlap; that is, when subjects with certain features …
VCBART: Bayesian trees for varying coefficients
The linear varying coefficient models posits a linear relationship between an outcome and
covariates in which the covariate effects are modeled as functions of additional effect …
covariates in which the covariate effects are modeled as functions of additional effect …
Towards principled causal effect estimation by deep identifiable models
As an important problem in causal inference, we discuss the estimation of treatment effects
(TEs). Representing the confounder as a latent variable, we propose Intact-VAE, a new …
(TEs). Representing the confounder as a latent variable, we propose Intact-VAE, a new …
[BOOK][B] Extensions to Bayesian tree-based machine learning algorithms
EB do Prado - 2022 - search.proquest.com
Bayesian additive regression trees (BART) is a Bayesian tree-based algorithm which can
provide high predictive accuracy in both classification and regression problems. Unlike other …
provide high predictive accuracy in both classification and regression problems. Unlike other …
[PDF][PDF] Treatment Effect Estimation and Bivariate Causal Discovery via Nonlinear ICA
P Wu - ir.soken.ac.jp
Human knowledge begins with the observation and study of nature. In Ancient Greece,
some philosophers, including Aristotle, were also the earliest scientists intrigued by the …
some philosophers, including Aristotle, were also the earliest scientists intrigued by the …
[BOOK][B] Bayesian methods for complex data structures, with applications to precision medicine in women's healthcare
JE Starling - 2020 - search.proquest.com
This thesis explores novel Bayesian non-parametric regression techniques for data with
complex structures, developed in response to challenges in women's health and obstetrics …
complex structures, developed in response to challenges in women's health and obstetrics …
[PDF][PDF] Treatment Effect Estimation and Bivariate Causal Discovery via Nonlinear ICA (非線形 ICA による治療効果推定と二変量因果探索)
ホウシュウゴ - ir.soken.ac.jp
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