Statistics

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.

Introducing a semi-Bayesian method for better goodness-of-fit testing in complex models.

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.

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.

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.

This article examines the benefits of multitask learning using Gaussian mixture models.

HealthSyn simulates user behavior to enhance mobile health tools while protecting privacy.

Learn how Bayesian CART enhances insurance pricing accuracy and fairness.

Innovative approaches are enhancing the effectiveness of generative models in various fields.

A new method enhances uncertainty measurement in Transformers for better predictions.

New methods improve understanding of single-cell genetic data.

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

GAMs provide flexibility for modeling complex data relationships across various fields.

New methods for quick change detection in periodic systems.

Introducing a semi-Bayesian method for better goodness-of-fit testing in complex models.

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.

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.

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.

Learn how split conformal prediction improves data reliability and decision-making.

Discover the benefits of using PanIC for model selection in statistics.

A new framework enhances regression methods for forecasting rare occurrences.