Statistics

FFUDS framework boosts efficiency for on-demand service platforms.

Introducing a modern approach to assess supplier capacity effectively.

A versatile tool for analyzing gravitational-wave data using advanced sampling methods.

A new model improves accuracy in offshore wind energy forecasts.

Using technology to improve malaria treatment and prevention methods.

Learn how Bayesian CART enhances insurance pricing accuracy and fairness.

DTAmetasa simplifies meta-analysis for assessing medical test effectiveness.

A look at how network science impacts economics through various modeling approaches.

A novel approach to estimate predictive model performance quickly and accurately.

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.

A look into sparse-penalized deep neural networks and their applications.

A look at how public datasets improve private data insights while maintaining privacy.

Enhancing self-training methods with better pseudo-label selection techniques.

A new approach ensures safer policy evaluation in critical applications.

A versatile tool for analyzing gravitational-wave data using advanced sampling methods.

Investigating the complexities of estimating signals from noisy, sparse data.

A guide to understanding high-dimensional time series and their analysis techniques.

Using technology to improve malaria treatment and prevention methods.

A study on improving causal effect estimation through tuning and evaluation methods.

Enhancing self-training methods with better pseudo-label selection techniques.

A study on bird deaths caused by electrical transmission networks.

A look at how temperature data influences climate predictions.

This study examines the impact of sampling weights in logistic regression with complex survey data.

A novel approach to accurately estimate the center of symmetric distributions.

New methods improve understanding of single-cell genetic data.

A novel approach to estimate predictive model performance quickly and accurately.

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 sparse-penalized deep neural networks and their applications.

Enhancing self-training methods with better pseudo-label selection techniques.

A novel approach to accurately estimate the center of symmetric distributions.

Investigating the complexities of estimating signals from noisy, sparse data.

A guide to understanding high-dimensional time series and their analysis techniques.

A look at new statistical methods for comparing dependence structures in data.

A new method improves detection of dangerous signals in military and space operations.

New methods for quick change detection in periodic systems.