This allows application of an array of flexible regression and classification methods rather than only approaches that explicitly handle the complexities inherent to survival data.

Methodology

We introduce a zero-inflated alternative to the tree splitting prior in Bayesian additive regression trees to allow for lag selection and the addition of informative priors.

Methodology

It was immediately realised that the original estimator can fail catastrophically since its variance can become very large (possibly not finite).

Methodology Instrumentation and Methods for Astrophysics Computation

We find that black drivers are stopped more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers are stopped less often than whites.

Applications

In this paper we propose a two-sample test based on copula entropy (CE).

Methodology

When fitting black box supervised learning models (e. g., complex trees, neural networks, boosted trees, random forests, nearest neighbors, local kernel-weighted methods, etc.

Methodology

collapse is a large C/C++-based infrastructure package facilitating complex statistical computing, data transformation, and exploration tasks in R - at outstanding levels of performance and memory efficiency.

Computation

A user-focused verification approach for evaluating probability forecasts of binary outcomes (also known as probabilistic classifiers) is demonstrated that is (i) based on proper scoring rules, (ii) focuses on user decision thresholds, and (iii) provides actionable insights.

Applications

ruptures is a Python library for offline change point detection.

Computation Mathematical Software

We discuss how our reproducible WAR framework, built entirely on publicly available data, can be easily extended to estimate WAR for players at any position, provided that researchers have access to data specifying which players are on the field during each play.

Applications 62P99