Trending Research

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

givasile/effector 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.

Methodology

100
0.10 stars / hour

ergm 4: Computational Improvements

statnet/ergm 15 Mar 2022

The ergm package supports the statistical analysis and simulation of network data.

Computation

103
0.04 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.

Applications

164
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.

Applications

7,382
0.03 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

1,797
0.02 stars / hour

Multilevel Delayed Acceptance MCMC

pymc-devs/pymc 8 Feb 2022

We develop a novel Markov chain Monte Carlo (MCMC) method that exploits a hierarchy of models of increasing complexity to efficiently generate samples from an unnormalized target distribution.

Methodology Computation 62F15, 62M05, 65C05, 65C40

9,007
0.02 stars / hour

Fitting Matérn Smoothness Parameters Using Automatic Differentiation

cgeoga/besselk.jl 1 Jan 2022

The Mat\'ern covariance function is ubiquitous in the application of Gaussian processes to spatial statistics and beyond.

Computation Methodology

16
0.01 stars / hour

vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models

AlanInglis/vivid 20 Oct 2022

We present vivid, an R package for visualizing variable importance and variable interactions in machine learning models.

Computation

23
0.01 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

65
0.01 stars / hour

Integrated Emulators for Systems of Computer Models

mingdeyu/DGP 13 Apr 2020

We generalize the state-of-the-art linked emulator for a system of two computer models under the squared exponential kernel to an integrated emulator for any feed-forward system of multiple computer models, under a variety of kernels (exponential, squared exponential, and two key Mat\'ern kernels) that are essential in advanced applications.

Methodology Applications

27
0.01 stars / hour