Statistics

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.

Learn how negative controls enhance reliability in hypothesis testing.

FFUDS framework boosts efficiency for on-demand service platforms.

Introducing a modern approach to assess supplier capacity effectively.

A versatile tool for analyzing gravitational-wave data using advanced sampling methods.

A new model improves accuracy in offshore wind energy forecasts.

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.

Learn how probability density functions apply to stable laws in various fields.

Examining new methods for evaluating communication systems reliability.

Learn how reversiblizations enhance the study of Markov chains.

A new method enhances analysis of ICU patient outcomes and events.

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

Combining Bayesian methods with neural networks improves adaptability and performance.

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

A look at how public datasets improve private data insights while maintaining privacy.

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

A new approach ensures safer policy evaluation in critical applications.

A versatile tool for analyzing gravitational-wave data using advanced sampling methods.

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.

A statistical approach to manage two related proportions effectively.

A new method enhances analysis of ICU patient outcomes and events.

Learn how negative controls enhance reliability in hypothesis testing.

Key points on validating AI-based diagnostic devices.

A study on improving causal effect estimation through tuning and evaluation methods.

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.

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.

A novel approach to accurately estimate the center of symmetric distributions.

Investigating the complexities of estimating signals from noisy, sparse data.

A guide to understanding high-dimensional time series and their analysis techniques.

A look at new statistical methods for comparing dependence structures in data.