Statistics

MELAGE helps doctors and researchers analyze brain images for better diagnosis.

Analyzing bus services to better meet community needs in Harrisonburg.

This article reviews methods for predicting air pollution in Lombardy.

This study enhances spectroscopy methods for better dairy product analysis.

Researchers develop a model to study spatial relationships and impacts over distance.

N-of-1 trials personalize treatment by focusing on individual responses.

A novel approach enhances the quality of noisy biomedical labels.

A new method for clustering large datasets effectively and efficiently.

MELAGE helps doctors and researchers analyze brain images for better diagnosis.

This study enhances spectroscopy methods for better dairy product analysis.

A new method for clustering large datasets effectively and efficiently.

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.

Examining ways to ensure fair access to beneficial programs for all groups.

An analysis of Thompson Sampling and its variant for improved decision-making.

Analyzing bus services to better meet community needs in Harrisonburg.

Machine learning transforms event reconstruction in particle physics, improving accuracy and efficiency.

A novel approach enhances the quality of noisy biomedical labels.

This article discusses spin networks' role in advancing variational quantum algorithms.

This article examines how hyperparameters influence variable selection methods in random forests.

DNCF provides a new way to enhance photo quality effectively.

A new method enhances parameter estimation in time series analysis.

This study enhances spectroscopy methods for better dairy product analysis.

Researchers develop a model to study spatial relationships and impacts over distance.

Researchers improve causal estimates using double-shrinkage estimation from diverse data sources.

N-of-1 trials personalize treatment by focusing on individual responses.

Heckman-FA automates feature selection, improving predictions despite missing data.

A new method enhances proxy metrics for better decision-making in experiments.

A new approach improves understanding of microbial relationships and health outcomes.

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.

A new method enhances parameter estimation in time series analysis.

An analysis of Thompson Sampling and its variant for improved decision-making.

N-of-1 trials personalize treatment by focusing on individual responses.

A new method enhances the combination of discrete p-values for better research outcomes.

Learn about robust designs to improve experimental reliability despite uncertainties.

Learn how to identify changes in data with confidence sequences.

A novel approach enhances predictions for extreme data events.

Learn how to estimate parameters for heavy-tailed data using piece-wise Pareto distributions.