Scientific Research Publishing

Kapelner, A. and Bleich, J. (2016) BartMachine: Machine Learning with Bayesian Additive Regression Trees. Journal of Statistical Software, 70, 1-40.

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
Scientific Research Publishing

Tan, Y.V. and Roy, J. (2019) Bayesian Additive Regression Trees and the General BART Model. Statistics in Medicine, 38, 5048-5069.

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
Visual Studio Magazine

Decision Tree Regression from Scratch with Pointers Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
GitHub

Species Distribution Modeling with BARTs

The course will introduce and demonstrate the use of Bayesian Additive Regression Tree (BART) methods for species distribution modeling (SDM) and other ecological applications. We will explain how ...
Frontiers

A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery

Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China Background & aims: Deep vein thrombosis, a common ...
BMJ

Impact of ceiling of care on mortality across four COVID-19 epidemic waves in Catalonia: a multicentre prospective cohort study

Objective The aim of this study was to compare in-hospital mortality across waves in patients without and with a ceiling of care at hospital admission. Design A multicentre prospective cohort study.
Nature

Lake Erie summer chlorophyll phenology: a Bayesian additive regression trees comparison of growth and decay phases

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
Frontiers

Host and bacterial urine proteomics might predict treatment outcomes for immunotherapy in advanced non-small cell lung cancer patients

Introduction: Urine samples are non-invasive approaches to study potential circulating biomarkers from the host organism. Specific proteins cross the bloodstream through the intestinal barrier and may ...
CU Boulder News & Events

Regression Trees to Model Decisions and Uncertain Factors in a Water Quality Decision Problem

Balancing water quality standards while facilitating economic growth with uncertain factors in a complex system is challenging for policy makers. This case study analyses the fictional town of Fortuna ...
IEEE

Bayesian Additive Regression Trees-Based Spam Detection for Enhanced Email Privacy

Abstract: Spam is considered an invasion of privacy. Its changeable structures and variability raise the need for new spam classification techniques. The present study proposes using Bayesian additive ...
JSTOR Daily

Bayesian Additive Adaptive Basis Tensor Product Models for Modeling High Dimensional Surfaces: An Application to High-Throughput Toxicity Testing

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...