Trending Research

Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation

givasile/effector 25 Sep 2013

This article presents Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm.

Applications

62
0.05 stars / hour

Asgl: A Python Package for Penalized Linear and Quantile Regression

alvaromc317/asgl 31 Oct 2021

Asg is a Python package that solves penalized linear regression and quantile regression models for simultaneous variable selection and prediction, for both high and low dimensional frameworks.

Computation

84
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

7,147
0.02 stars / hour

Bambi: A simple interface for fitting Bayesian linear models in Python

bambinos/bambi 19 Dec 2020

The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications.

Computation

1,130
0.02 stars / hour

Poisson multi-Bernoulli mixture filter with general target-generated measurements and arbitrary clutter

Agarciafernandez/MTT 24 Oct 2022

This paper shows that the Poisson multi-Bernoulli mixture (PMBM) density is a multi-target conjugate prior for general target-generated measurement distributions and arbitrary clutter distributions.

Applications Systems and Control Systems and Control

125
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

1,700
0.01 stars / hour

PyDMD: A Python package for robust dynamic mode decomposition

pydmd/pydmd 12 Feb 2024

The method's linear algebra-based formulation additionally allows for a variety of optimizations and extensions that make the algorithm practical and viable for real-world data analysis.

Computation Systems and Control Systems and Control Dynamical Systems Computational Physics

940
0.01 stars / hour

Aitchison's Compositional Data Analysis 40 Years On: A Reappraisal

michaelgreenacre/codainpractice 13 Jan 2022

The additional property of exact isometry, which was subsequently introduced and not in Aitchison's original conception, imposed the use of isometric logratio transformations, but these are complicated and problematic to interpret, involving ratios of geometric means.

Methodology 62H25, 62H30

40
0.01 stars / hour
5
0.01 stars / hour

Fast, effective, and coherent time series modeling using the sparsity-ranked lasso

petersonr/fastts 2 Nov 2022

The main tenet of the SRL is that an algorithm should be more skeptical of higher-order polynomials and interactions *a priori* compared to main effects, and hence the inclusion of these more complex terms should require a higher level of evidence.

Methodology Computation

5
0.01 stars / hour