Statistics

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.

A new method improves image quality affected by speckle noise using machine learning.

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.

An efficient method for fitting complex models using probabilistic data.

This research examines spectral imbalance to enhance fairness in machine learning classification models.

A look into PAC-Bayes and its impact on model performance.

LoRA+ enhances model performance through tailored learning rates in deep learning.

A new Bayesian framework improves image quality and estimates uncertainty.

A new approach to linear bandits addresses feedback noise for better decision-making.

Improving model efficiency with new active learning techniques for incomplete data.

A new method enhances probability accuracy in language models without extra data.

Improving robustness against adversarial attacks in vision-language models.

New methods improve treatment recommendations by considering patient adherence.

A study on balancing system maintenance and performance amidst challenges.

TrialEmulation helps researchers analyze treatment effects using observational data.

This article presents a new method for measuring city livability indices.

Examining methods to assess fairness in clinical decision support algorithms.

A new model improves understanding of species relationships in biodiversity studies.

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

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

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.