Statistics

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.

Engineers use innovative methods to monitor and maintain infrastructure safety.

Augmented quantization improves data grouping and representation for better analysis.

fusionACS combines household survey data for deeper research insights.

This article questions the validity of total-effect tests in mediation analysis.

A look into estimating traffic accident likelihood using adaptive techniques.

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.

New algorithms improve efficiency in analyzing event dynamics using MHPs.

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

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 look at the blend of online learning and kernel regression for complex data.

New concepts in AI improve understanding of feature influence on outcomes.

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

A new method for clustering large datasets effectively and efficiently.

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.

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

Analysts balance expectations and outcomes in data analysis for informed decision-making.

Exploring strategies for effective A/B testing in social networks.

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.

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.

Examining the impact of Gaussian processes in complex data environments.

A method for classifying irreducible projective varieties without toric structures.