Trending Research

ruptures: change point detection in Python

deepcharles/ruptures 2 Jan 2018

ruptures is a Python library for offline change point detection.

Computation Mathematical Software

0.04 stars / hour

nflWAR: A Reproducible Method for Offensive Player Evaluation in Football

mrcaseb/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

0.02 stars / hour

Fast Meta-Analytic Approximations for Relational Event Models: Applications to Data Streams and Multilevel Data

TilburgNetworkGroup/remx 12 Dec 2023

Relational event models are therefore mainly used for relatively small data sets while larger, more interesting datasets, including multilevel data structures and relational event data streams, cannot be analyzed on standard desktop computers.


0.02 stars / hour

Maximum Entropy Spectral Analysis: a case study

martini-alessandro/maximum-entropy-spectrum 17 Jun 2021

We characterize our implementation by performing a power spectral density analysis on synthetic data (with known power spectral density) and we compare different criteria for stopping the recursion.

Methodology Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability

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

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.


0.02 stars / hour

Treatment Heterogeneity for Survival Outcomes

som-shahlab/survlearners 15 Jul 2022

Estimation of conditional average treatment effects (CATEs) plays an essential role in modern medicine by informing treatment decision-making at a patient level.


0.02 stars / hour

Non-parametric causal effects based on longitudinal modified treatment policies

nt-williams/lmtp 2 Jun 2020

LMTPs can be designed to guarantee positivity, and yield effects of immediate practical relevance with an interpretation that is familiar to regular users of linear regression adjustment.


0.02 stars / hour

Sequential Bayesian Inference for Uncertain Nonlinear Dynamic Systems: A Tutorial

eth-windmil/jsd-sbi 20 Jan 2022

In this article, an overview of Bayesian methods for sequential simulation from posterior distributions of nonlinear and non-Gaussian dynamic systems is presented.

Methodology Systems and Control Systems and Control

0.02 stars / hour

Nonparametric causal mediation analysis for stochastic interventional (in)direct effects

nhejazi/pub_medshift_interv_biostats 14 Sep 2020

Causal mediation analysis has historically been limited in two important ways: (i) a focus has traditionally been placed on binary treatments and static interventions, and (ii) direct and indirect effect decompositions have been pursued that are only identifiable in the absence of intermediate confounders affected by treatment.

Methodology Statistics Theory Statistics Theory

0.02 stars / hour