Bayesian Additive Regression Trees (BART) is a nonparametric ensemble method that models complex relationships by summing a collection of decision trees, each operating as a weak learner.

The jaw of a python can stretch open up to 150 degrees, and they have loose ligaments between their bones to help move their mouths over food—no chewing required.

For example, in the case of CART, a predictor may play a role in several splits of different branches, depending on the other predictors higher up in the tree.30 Up to the recent development of ...

Background Patellofemoral pain (PFP) is a prevalent condition commencing at various points throughout life. We aimed to provide an evidence synthesis concerning predictive variables for PFP, to aid ...

Abstract: In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to improve the tracking ...

To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques.

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What ...

The problem can be viewed as a practical alternative to well-known Bayesian procedures ... is to convert beliefs about the magnitude of betas into procedures of sequential regression. In Section 2 we ...