Statistics

Exploring how student enrollment affects educational comparisons across countries.

Examining epidemic models using frequentist methods for better public health interventions.

This article examines how similarity in historical patterns can improve traffic flow predictions.

A comprehensive collection of UK court cases for legal studies and AI development.

Investigating how victimization influences future criminal behavior in adolescents.

A method for better estimation of data distributions from grouped information.

A new method enhances the assessment of infrastructure network reliability.

Researchers improve stock price models using physics concepts for better predictions.

A method for efficient group sparse regression in data science.

Learn about ROMC and its application in likelihood-free inference.

A method for unbiased estimation of parameters in partially observed diffusion processes.

FAKI improves inverse problem solutions using normalizing flows for better accuracy.

A software package for studying health and neighborhood connections at an individual level.

New algorithms improve efficiency in analyzing event dynamics using MHPs.

An overview of Bayesian neural networks and their importance in AI.

How Bayesian statistics aids in analyzing experimental data in physics.

Exploring techniques to generate realistic data using autoencoders and copula models.

Learn how stacked regressions elevate predictive modeling by combining multiple approaches.

Differential privacy protects personal data during analysis, ensuring individual privacy.

Examining the impact of Gaussian processes in complex data environments.

A new method provides upper bounds for reaction rates in chemical networks.

Explore methods to boost machine learning models across varying data environments.

FAKI improves inverse problem solutions using normalizing flows for better accuracy.

How using historical data can enhance decision-making in uncertain environments.

Examining epidemic models using frequentist methods for better public health interventions.

This article examines how similarity in historical patterns can improve traffic flow predictions.

A method for efficient group sparse regression in data science.

Examining how temperature variations affect economic performance across different regions.

A method for unbiased estimation of parameters in partially observed diffusion processes.

A new framework improves causal simulations for reliable data analysis.

Learn strategies for effective decision making in uncertain situations.

Innovative approaches to analyze treatment effects considering sampling and measurement errors.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article presents a new method for selecting radius in complex data analysis.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

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.

Examining the impact of Gaussian processes in complex data environments.

A method for classifying irreducible projective varieties without toric structures.

A look at spatio-temporal models in data analysis.

Learn how to address noise in statistical modeling for better analysis.

A method to analyze wave travel times for understanding material properties.

This study presents new techniques for understanding causal effects with continuous post-treatment variables.

A new approach improves data analysis in multi-site health studies.

A look at drawing conclusions from adaptive experiments in research.