Latest Articles for Statistical Analysis

Exploring methods to represent uncertainty in scientific data visualizations.

A method to determine risk distributions using mean and c-statistic.

Explore how new imaging methods are changing cancer research and treatment.

A new method streamlines calculations for random effects in Generalized Linear Mixed Models.

Improving methods to verify authenticity of products through Copy Detection Patterns.

This study discusses enhancing model accuracy for long-tailed data using logit adjustment.

Researchers reveal new methods for spotting true signals in stock returns.

A look at random processes and their applications in various fields.

Cure rate models help analyze events over time, impacting fields like medicine and social science.

A new method improves data alignment, especially with noisy datasets.

A novel approach for estimating material durability under stress with unknown pore distributions.

A new method enhances Naive Bayes classifier efficiency by estimating variable weights.

A look at federated learning's challenges and solutions in maintaining data privacy and model accuracy.

A two-stage method for accurate treatment effect estimation when participants don’t comply.

Learn effective strategies for pricing and inventory under demand uncertainty.

Research highlights the importance of analyzing changing treatment effects over time in SW-CRTs.

A study exploring death risks for heart failure patients post-CRT treatment.

Combining Canonical Correlation Analysis with deep learning enhances data insights.

Assessing the impact of HAL on health-related statistical analysis.

A look at LLMs and GBDT in few-shot learning scenarios.

New models improve analysis of count data with zeros and extreme values.

A fresh approach to assess crucial parts of interconnected systems.

A framework that balances causal analysis and individual privacy.

Learn about decision-making strategies that minimize regret in experiments.

A comprehensive study comparing methods for estimating confidence intervals in machine learning models.

This analysis explores fair assessment methods for diverse student groups in large classes.

Learn how skewness and kurtosis improve tail risk predictions in finance.

Learn strategies to improve model performance on imbalanced datasets.

A look at how variance estimation affects treatment effectiveness in experiments.

Understanding the limitations of R in tracking disease outbreaks.

Exploring how scientists unravel evolutionary patterns through comparative analysis.

A look at how Vulnerability Conditional risk measures can assess cryptocurrency risks.

A new method to ensure models perform well across diverse data scenarios.

A look at how researchers protect privacy in survey data while sharing insights.

A look into causal inference methods and the role of Structural Causal Models.

Discover how oblique trees improve data predictions by considering multiple features.

Discover how the occlusion process enhances sampling efficiency.

Learn how manifold alignment and random forests improve data integration.

Learn how misclassification can affect data accuracy and decision-making.

Analyzing the link between diabetes and Chronic Kidney Disease amidst various health factors.