Statistics

Leveraging technology for efficient analysis of international crisis data.

Examining methods to identify patient groups responding to treatments in clinical trials.

NOSTRA enhances the evaluation of hospital-acquired infections and their sources.

Combining machine learning and data analysis to predict extreme weather impacts.

This study combines genetic and geographic data to better define species boundaries.

Exploring the implications of an aging population on Australia's age pension system.

A new model improves survival estimates for melanoma therapies.

A novel approach to evaluate rare groundwater hazards and enhance management strategies.

CGLASSO offers improved ways to study brain activity and connectivity.

A new approach enhances Hamiltonian system modeling despite noisy data.

Learn how long memory influences predictions in various fields.

A method combining PCA and statistical depth improves outlier detection in data analysis.

New techniques improve Bayesian inference in complex, high-dimensional systems.

New methods enhance disease spread modeling accuracy using contact networks.

A new method for sampling complex distributions without relying on gradients.

New methods improve estimation in complex scientific models.

This article discusses using aggregate data in machine learning while protecting privacy.

A new approach to improve optimization in complex scenarios using simulations.

A new approach to analyze varying effects of treatments on different groups.

Examining how Thompson Sampling improves choices amid uncertainty and noise.

Examining methods to identify patient groups responding to treatments in clinical trials.

A new method improves annotation accuracy in target recognition using advanced techniques.

This article discusses new methods for effective pattern discovery in data.

RUMBoost merges utility models and machine learning for improved travel choice predictions.

Exploring factors influencing infant health before and after birth.

Analyzing how body systems communicate through interaction measurement methods.

Exploring methods to handle missing data in cluster-randomized trials effectively.

CGLASSO offers improved ways to study brain activity and connectivity.

A new method enhances spatial data analysis efficiency and accuracy.

Exploring squared Wasserstein distance for effective SDE reconstruction from noisy data.

A maintenance plan to keep modular systems running smoothly and avoid costly breaks.

This paper discusses a method to reduce false positives in 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.

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

Methods to improve location estimation amid skewed data and outliers.

This article discusses using aggregate data in machine learning while protecting privacy.

A new method enhances spatial data analysis efficiency and accuracy.

A study on the effects of noise in signal analysis and eigenvalue behavior.

A new approach to tackle covariate shift in machine learning models.

Learn how Hawkes processes model interconnected events in various fields.

Learn how causal graphs reveal dependencies between variables.

This article examines how to determine correlations between random vectors using statistical methods.

A modular approach to simplifying complex statistical estimation processes.