Statistics

Exploring how Health Wellness Coaching affects heart health and mental well-being.

New models improve prediction of extreme weather effects on ocean conditions.

Using machine learning to enhance diagnosis of appendicitis in children through ultrasound images.

Multi-view clustering improves patient classification and treatment customization in medical research.

This study examines player dynamics in soccer using advanced tracking data.

A look into how smoking impacts healthcare expenses through health mediators.

A look at the importance of clinical trials for Huntington disease.

A new method helps researchers find true health connections in complex data.

CUSP priors improve Bayesian factor analysis by managing model complexity.

New sampling techniques enhance accuracy and efficiency in analyzing complex hidden systems.

A fresh approach to managing investment risk by focusing on pessimistic outcomes.

A statistical approach to manage two related proportions effectively.

This article explores the Delaunay-Rips complex for analyzing complex data in machine learning.

EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.

A novel approach to estimate predictive model performance quickly and accurately.

A look into MSMC methods for better data estimation over time.

Research advances in generating synthetic images while safeguarding personal data privacy.

This paper discusses Natural Gradient Hybrid Variational Inference for complex models.

A new approach to optimize decision-making in resource-constrained environments.

A new perspective using information theory to assess algorithm performance on unseen data.

A new method enhances efficiency in solving complex least-squares problems.

New methods to predict outcomes without compromising patient privacy.

Using GANs to generate background data for the Belle II experiment.

Multi-view clustering improves patient classification and treatment customization in medical research.

New method distinguishes between changes in economic factors and data responses.

Learn how empirical likelihood enhances parameter estimation using additional information.

Learn how effect size shapes research findings and decisions across various fields.

Innovative techniques improve parameter estimation and hypothesis testing in diverse fields.

Exploring how Health Wellness Coaching affects heart health and mental well-being.

New models improve prediction of extreme weather effects on ocean conditions.

This article discusses renewed interest in fiducial inference using generalized methods.

A study on how typhoid fever spreads using statistical modeling.

Examining the reliability and validation of influence functions in deep learning models.

A new algorithm enhances accuracy in forecasting disease outbreaks through detailed data generation.

A discussion on merging statistical approaches for better data analysis.

A fresh approach uncovers individual variations in program treatment effects.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

This article discusses renewed interest in fiducial inference using generalized methods.

A study on how typhoid fever spreads using statistical modeling.

Exploring methods for analyzing differences in data distributions using E-variables.

Discover the properties and applications of regular simplex tensors in optimization.

Learn how negative controls enhance reliability in hypothesis testing.

Exploring how barycenters aid in understanding data concentration in complex spaces.

A look into sparse-penalized deep neural networks and their applications.

Enhancing self-training methods with better pseudo-label selection techniques.