Statistics

A study on improving peer review quality through innovative assignment evaluation methods.

This study examines the link between market efficiency and random number generators.

Discover how new methods improve truss design efficiency and effectiveness.

This study highlights a new method to analyze brain age using imaging data.

This research focuses on maintaining fairness in algorithms through continuous auditing methods.

New methods improve understanding of brain damage and function relationships.

This study evaluates language models for quick power outage detection via social media.

This study combines random and opportunistic sampling for better species distribution predictions.

A method to improve inference accuracy despite model misspecification using robust statistics.

Learn how RFMS improves feature selection for complex data analysis.

This study improves uncertainty quantification for safer nuclear reactors.

CRAN Task Views provide R users with organized tools for specific tasks.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

A new framework enhances sampling efficiency in complex probability distributions.

A study of arrivals through point processes and their connection to continuous processes.

New approach improves stance detection accuracy across diverse topics.

A method to improve inference accuracy despite model misspecification using robust statistics.

Examining how preschool attendance affects children's development in Queensland.

AI technology is transforming how ECGs are analyzed for heart health.

NCDEs provide solutions for analyzing irregular time series data in various fields.

This article examines the complexities of cleaning noisy data for machine learning.

LLMs develop and utilize tools to enhance problem-solving efficiency.

A new method enhances structural analysis by handling data outliers effectively.

GC-Flow improves clustering in graph data through integrated classification and clustering techniques.

A new method enhances covariate selection in causal effect estimation.

Addressing privacy and accuracy in synthetic data analysis through Bayesian inference.

This paper introduces a flexible method to analyze economic shocks in VAR models.

This research focuses on maintaining fairness in algorithms through continuous auditing methods.

A method that separates shared and unique features in diverse data sources.

A flexible framework for sensitivity analysis in observational studies.

Researchers enhance experiment design using reinforcement learning and new estimation techniques.

A new method improves accuracy in estimating monotonic functions through information sharing.

Learn about advanced means and their role in data analysis.

A new method improves how we cluster data with numbers and categories.

How delays impact the efficiency of adaptive trial designs.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

This article examines the complexities of cleaning noisy data for machine learning.

Addressing privacy and accuracy in synthetic data analysis through Bayesian inference.

A look into how extreme values of two variables interact and impact various fields.

Learn about advanced means and their role in data analysis.

Research on Lasso estimation improves group testing accuracy for COVID-19 detection.

New SVGD variants enhance sampling efficiency for complex distributions.

A fresh approach to analyze data using GLMs in complex scenarios.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.