Statistics

A new framework for defining SICR events to enhance credit risk management.

A detailed look at lung cancer and health-related death rates across US counties.

A fresh approach offers insights into daily traffic dynamics.

Study reveals how individuals make daily route choices affecting traffic dynamics.

Learn how periodic trawl processes help model time-dependent data with cycles.

Research on organoid networks reveals new information about brain development.

A study on predicting top-performing basketball lineups using player statistics.

This article introduces a method for better understanding economic interactions during financial stress.

A look into MSMC methods for better data estimation over time.

Learn how probability density functions apply to stable laws in various fields.

Examining new methods for evaluating communication systems reliability.

Learn how reversiblizations enhance the study of Markov chains.

A detailed look at lung cancer and health-related death rates across US counties.

R's new color functions enhance data visualization for better clarity and accessibility.

A new approach for evaluating statistical models against skewed distributions.

Rang helps researchers document and recreate their computational environments for accurate analysis.

A new method improves how machines predict video frames.

Exploring regret dynamics in bandit problems for better decision-making.

ReScore improves causal discovery by dynamically adjusting sample importance.

A new model using neural networks improves understanding of complex event interactions.

MIST improves clustering accuracy in complex datasets without requiring prior knowledge.

Discover how multitask learning enhances AI performance across diverse tasks.

A novel approach to learning GMMs while ensuring data privacy.

Discover how Causal Dependence Plots clarify AI decision-making processes.

Explore the significance of eigenvalues in understanding covariance matrices.

A look into MSMC methods for better data estimation over time.

Examining new methods for evaluating communication systems reliability.

A new approach combines techniques for better decision-making in business processes.

Learn how periodic trawl processes help model time-dependent data with cycles.

Introducing DR-VIDAL, a cutting-edge approach for estimating treatment outcomes using machine learning.

This article presents a method to simplify estimating intensity in point processes.

This study explores changes in daily routines during the COVID-19 pandemic.

Examining the reliability and validation of influence functions in deep learning models.

A new algorithm enhances accuracy in forecasting disease outbreaks through detailed data generation.

A discussion on merging statistical approaches for better data analysis.

A fresh approach uncovers individual variations in program treatment effects.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

A look into MSMC methods for better data estimation over time.

Learn how probability density functions apply to stable laws in various fields.

A new method for finding geometric communities in complex networks using triangle counting.

This article discusses the importance of self-integrability in stochastic processes.

Learn how periodic trawl processes help model time-dependent data with cycles.

A new method improves parameter estimation in genetic models.

Exploring how to locate a key node in complex networks.

A new approach for evaluating statistical models against skewed distributions.