Statistics

New methods for bootstrapping in resource allocation models.

A practical guide to the QuadratiK package for spherical data analysis.

A novel approach predicts BMI changes in children, aiding health assessments.

Research introduces a model to analyze organelle movements in plant cells.

Understanding how banks are linked can aid in managing financial risks.

A method for collaborative analysis without sharing sensitive patient data.

This study examines AI's role in human debates through simulated interactions.

This method uses a Bayesian approach for accurate user activity predictions in online testing.

A new method improves 3D scene inference despite environmental challenges.

New methods improve understanding of treatment effects on patient health.

A practical guide to the QuadratiK package for spherical data analysis.

A method for collaborative analysis without sharing sensitive patient data.

A new Bayesian approach for analyzing data with many zeros in public health.

A new method for effective data sampling from complex distributions.

A new method offers reliable estimation for diverse data types.

A model that helps analyze multiple outcomes with various predictors.

Learn how causal entropy and information gain help us analyze relationships between variables.

A study on kernel regression addressing overfitting and kernel function behaviors.

This article discusses kernel classifiers and their performance in Sobolev spaces.

This article discusses difficulties in optimizing PINNs and their training strategies.

A new method reduces forgetting in language models during updates.

Examining how Transformers learn from context to tackle unseen tasks.

New methods improve understanding of treatment effects on patient health.

A practical guide to the QuadratiK package for spherical data analysis.

New methods improve understanding of treatment effects on patient health.

Explore how graphical models reveal relationships in extreme events across various fields.

This article examines the impact of treatments on diverse patient subgroups using multi-source data.

Examining how clinical trial findings apply to broader patient care.

Research introduces a model to analyze organelle movements in plant cells.

Learn how MTFA reduces data dimensions for clearer insights.

A novel approach for spotting anomalies using breakpoints in time series data.

This work introduces a method to analyze time series data and detect anomalies in water treatment processes.

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.

A method to choose the best variables for clearer data analysis.

This article discusses kernel classifiers and their performance in Sobolev spaces.

Explore how graphical models reveal relationships in extreme events across various fields.

New methods for bootstrapping in resource allocation models.

Examining how clinical trial findings apply to broader patient care.

Research introduces a model to analyze organelle movements in plant cells.

A look at nonsense correlations and their implications in data analysis.

A novel framework for effective regression in complex spatial data analysis.

Explore innovative p-value combination methods addressing multiple comparisons with heavy-tailed distributions.