Statistics

New method improves understanding of health effects from widespread pollution sources.

Research explores innovative methods to predict handball match results.

Study evaluates COVID-19 transmission and testing methods on campus.

Research identifies infection risks for white-tailed deer using GPS tracking.

Examining how to optimize flexibility for better matching on both sides of platforms.

BayesPPDSurv helps researchers efficiently plan clinical trials using historical data.

This article outlines an innovative approach to improve record linkage using household information.

A new method to study past climate using marine microfossils.

A guide to the methods of computing the generalized chi-square distribution.

Using quantum computing to enhance the identification of Minimal Cut Sets in engineering.

A novel technique accelerates the analysis of piecewise constant functions.

Examining how FRET reveals insights into molecular dynamics and behavior.

Analyzing rounding errors can improve the accuracy of low-precision calculations.

A look into Markov chains and MCMC's role in sampling and optimization.

Methods to provide reliable population estimates while ensuring respondent confidentiality.

Discover a more effective way to handle missing data in research.

Modern memory models enhance AI learning and retrieval processes.

New methods enhance regression analysis using covariance matrices for complex data sets.

This article discusses advanced techniques for enhancing revenue management strategies.

A look at how AdamW improves training in deep learning models.

BARN combines BART and neural networks for improved prediction accuracy.

Learn how SiD speeds up image creation while maintaining quality.

Modern Hopfield models enhance machine memory and retrieval capabilities.

A method to improve model learning despite errors in data labels.

This approach improves understanding of chemical effects on animal behavior.

New method improves understanding of health effects from widespread pollution sources.

Research explores innovative methods to predict handball match results.

Learn how Bayesian graphs aid in predicting responses to security measures.

New methods enhance regression analysis using covariance matrices for complex data sets.

Introducing leaky instruments for better causal analysis in complex data scenarios.

A study on using tensor clustering for subway passenger analysis.

A new method to reveal causal links using variances in data.

A comparison of distance measures for effective clustering analysis.

A clear look at why switching doors is the winning strategy.

A project to improve survey representation of underrepresented groups in Liguria.

This article discusses methods for estimating changing parameters in dynamic systems using real-time data.

Introducing expected points and EPAA for assessing player contributions in basketball.

Understanding the complexities of evaluating single-treatment effects in factorial designs.

A look at how covariate adjustment clarifies research findings by managing confounding variables.

A method allowing adaptive statistical analysis without rigid model assumptions.

Research enhances methods for extracting frequencies from noisy signals.

An overview of bivariate quasi-copulas and their applications in various fields.

New techniques enhance the accuracy of identifying trends in various fields.

A look at the importance of permutation tests in time series analysis.

A look at how goodness-of-fit tests evaluate data against statistical models.

A method to estimate probability distributions in uncertain systems.

A look at how dependence measures help analyze relationships between multiple variables.

New techniques simplify the calculation of the Wishart normalising constant in Bayesian models.