Trending Research

A framework for leveraging machine learning tools to estimate personalized survival curves

cwolock/survml 6 Nov 2022

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.


0.07 stars / hour

Incorporating prior information into distributed lag nonlinear models with zero-inflated monotone regression trees

danielmork/dlmtree 30 Jan 2023

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.


0.05 stars / hour

Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

astro-informatics/harmonic 24 Nov 2021

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

0.03 stars / hour

A large-scale analysis of racial disparities in police stops across the United States

rfordatascience/tidytuesday 18 Jun 2017

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.


0.02 stars / hour

Two-Sample Test with Copula Entropy

majianthu/pycopent 14 Jul 2023

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


0.02 stars / hour

Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models

blent-ai/ALEPython 27 Dec 2016

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


0.02 stars / hour

collapse: Advanced and Fast Statistical Computing and Data Transformation in R

SebKrantz/collapse 8 Mar 2024

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.


0.02 stars / hour

A User-Focused Approach to Evaluating Probabilistic and Categorical Forecasts

nci/scores 30 Nov 2023

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.


0.02 stars / hour

ruptures: change point detection in Python

deepcharles/ruptures 2 Jan 2018

ruptures is a Python library for offline change point detection.

Computation Mathematical Software

0.01 stars / hour

nflWAR: A Reproducible Method for Offensive Player Evaluation in Football

nflverse/nflfastr 3 Feb 2018

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

0.01 stars / hour