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 …
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric
regression model that is commonly used in causal inference and beyond. Its strong …
regression model that is commonly used in causal inference and beyond. Its strong …
Sunflower Strategy for Bayesian Relational Data Analysis
This paper proposes a new inference strategy for Bayesian relational data analysis, inspired
by the sunflower lemma in extremal combinatorics. Relational data analysis using …
by the sunflower lemma in extremal combinatorics. Relational data analysis using …
[HTML][HTML] Designing a Consumer-centric Care Management Program by Prioritizing Interventions Using Deep Learning Causal Inference
T Li, H Feng, V Bandugula, Y Ding - AMIA Summits on Translational …, 2024 - ncbi.nlm.nih.gov
Care management is a team-based and patient-centered approach to reduce health risks
and improve outcomes for managed populations. Post Discharge Management (PDM) is an …
and improve outcomes for managed populations. Post Discharge Management (PDM) is an …
New directions in algebraic statistics: Three challenges from 2023
In the last quarter of a century, algebraic statistics has established itself as an expanding
field which uses multilinear algebra, commutative algebra, computational algebra, geometry …
field which uses multilinear algebra, commutative algebra, computational algebra, geometry …
Very fast Bayesian Additive Regression Trees on GPU
G Petrillo - arxiv preprint arxiv:2410.23244, 2024 - arxiv.org
Bayesian Additive Regression Trees (BART) is a nonparametric Bayesian regression
technique based on an ensemble of decision trees. It is part of the toolbox of many …
technique based on an ensemble of decision trees. It is part of the toolbox of many …
Tree Ensemble Algorithms for Causal Machine Learning
N Krantsevich - 2023 - search.proquest.com
This dissertation centers on treatment effect estimation in the field of causal inference, and
aims to expand the toolkit for effect estimation when the treatment variable is binary. Two …
aims to expand the toolkit for effect estimation when the treatment variable is binary. Two …