Statistics

A method enhancing causal effect estimation in health outcomes through smart statistical approaches.

This study analyzes how CADt devices can reduce patient wait times for urgent care.

Learn how PBSHM improves structure safety and monitoring efficiency.

An overview of cluster trials and their optimal design considerations.

Research on disease spread using graph-based models and parameter estimation techniques.

Explore the Generalized Inverse Gaussian-Poisson distribution for analyzing count data.

An overview of resilience events and their impact on electric power systems.

An overview of observational studies and linear regression analysis techniques.

This article examines techniques for assessing spatial data model performance.

A look at precision matrix estimation methods, focusing on Local Linear Approximation and sparsity.

An overview of rising patent filings and citations from 1976 to 2022.

New score matching methods address unique data types for improved statistical modeling.

A new method improves graphical models by including covariate information for better accuracy.

Explore the Tsallis-Gaussian distribution for modeling uncertainty in various fields.

A new method helps cities gauge shared mobility demand accurately.

A method to reveal trends in functional data through clustering and segmentation.

A method enhancing causal effect estimation in health outcomes through smart statistical approaches.

A look at how function complexity affects model performance.

This study assesses VAE performance in biological imaging using cryo-electron microscopy.

A guide to tuning parameters in SVMs and boosted trees for better accuracy.

This article discusses a new method for accurate predictions while maintaining privacy.

A new approach enhances sparse coding for better data representation and analysis.

Track shifts in model explanations to maintain performance over time.

A simplified method for optimizing ad performance in online marketing.

This article examines techniques for assessing spatial data model performance.

A method enhancing causal effect estimation in health outcomes through smart statistical approaches.

A look at precision matrix estimation methods, focusing on Local Linear Approximation and sparsity.

Explore the impact of truncation on variance in statistical data.

This article discusses a new method for accurate predictions while maintaining privacy.

This article discusses empirical Bayes for better variable selection in high-dimensional models.

An overview of cluster trials and their optimal design considerations.

A new method enhances re-randomization for better experimental balance.

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 a new method for accurate predictions while maintaining privacy.

This article discusses empirical Bayes for better variable selection in high-dimensional models.

Discover new statistical testing methods for complex datasets.

Explore the Generalized Inverse Gaussian-Poisson distribution for analyzing count data.

Learn how to enhance statistical tests for more reliable results.

An overview of how Laplace learning handles data labeling in machine learning.

New score matching methods address unique data types for improved statistical modeling.

Explore nonuniform bounds for Studentized U-statistics and their significance.