Statistics

Study reveals how age influences NBA player performance with rest days.

Evaluating how biases in language models affect real-world applications.

Examining how age distribution shapes global migration trends and forecasts.

GhostKnockoffs enhances variable selection using summary statistics in genetics and beyond.

A new model to assess heavy metal risks in soil.

New methods improve disease model accuracy for public health decision-making.

This research analyzes user engagement factors on crowdfunding platforms to enhance contributions.

GROS combines multiple estimators for improved accuracy in data analysis.

Learn about Stochastic Localization in sampling and its key processes.

TrialEmulation helps researchers analyze treatment effects using observational data.

A look at methods to improve model predictions and reduce uncertainty.

A new method enhances variational inference efficiency and accuracy.

New methods improve disease model accuracy for public health decision-making.

A new approach to dose-finding trials enhances efficiency and accuracy in drug development.

Introducing a method to enhance significance testing in regression analysis.

This model aids in analyzing complex datasets across various fields.

This article discusses the essential aspects of constrained reinforcement learning and its real-world applications.

This study enhances distributed learning through effective use of weighted updates in Error Feedback.

Learn about Stochastic Localization in sampling and its key processes.

This article examines the role of tensors in enhancing clustering techniques.

Exploring techniques to improve multiclass classifiers amidst mislabeled data challenges.

Exploring how adversarial examples influence machine learning models.

A look into hypergraphs and their roles in various fields.

This study examines the challenges of reconstruction learning in machine learning for perception tasks.

A method to ensure balanced groups in experiments for fair results.

A look at semi-functional partial linear regression and measurement error solutions.

Learn how A/B testing shapes product decisions in technology.

A new method to personalize treatment strategies for chronic diseases over time.

Exploring how directed acyclic graphs improve understanding in causal inference research.

A method to estimate treatment effects when key information is missing.

New methods improve treatment recommendations by considering patient adherence.

A study on balancing system maintenance and performance amidst challenges.

PORTSEA advances extreme value statistics, influencing various fields and education.

This article examines how gamification boosts student engagement in flipped classrooms.

A novel analysis method enhances the understanding of chronic diseases and health factors.

Examining the impact of academic skills on university enrollment in Italy.

Learn how to analyze and manage risks in finance and business.

Methods to improve location estimation amid skewed data and outliers.

A method to choose the best variables for clearer data analysis.

Learn how new methods improve predictions for random events and outcomes.

Explore GWSBM and GWPDSM models in community detection.

A new method simplifies the study of random geometric graphs for deeper insights.

Introducing DOPE: a robust method to improve treatment effect estimation using observational data.

New measures improve comparisons of complex medical data sets.

Investigating complexities of posterior sampling in diffusion models for image processing.

Exploring new methods in algebraic statistics across educational testing, regression, and contingency tables.

Discover new methods for estimating treatment effects in research.

Learn how to improve linear regression by tackling self-selection bias.