Latest Articles for Statistical Methods

This paper examines the effectiveness of a bottom-up approach for forecasting.

A new method enhances vehicle design for off-road conditions.

Learn how the kinetic Langevin algorithm improves sampling in high-dimensional spaces.

A new method for identifying change points in data patterns using continuous optimization.

This article explores solving inverse problems using advanced models and techniques.

Learn how multi-modal learning enhances data analysis effectiveness.

Introducing an effective method for grouping mixed data with both numbers and categories.

A new method for assessing machine learning systems with scarce data.

This article reviews methods for analyzing economic indicators with changing parameters.

A new method offers better estimates for treatment effectiveness in rare diseases.

A new approach to improving decision-making in Bayesian networks.

A look into Symbolic Data Analysis and its use in various fields.

A new Bayesian approach improves clustering of categorical data by considering variable relationships.

A framework for improving analysis of simultaneous A/B tests using shared users.

ABCDE offers a new way to assess clustering methods efficiently.

DP-BloGS improves data privacy in machine learning while maintaining performance.

A new method improves the efficiency of testing compounds in drug discovery.

A new method for clearer visualization of high-dimensional data features.

Exploring how RR-MAR models analyze interrelated economic data over time.

Local-DSM enhances diffusion models for complex, nonlinear data handling.

Addressing data contamination in prediction with advanced conformal methods.

Monitoring wastewater helps track diseases and informs public health decisions.

A new method enhances the analysis of hyperparameter optimization results.

This article discusses methods to tackle bias in research outcomes.

A new method enhances the accuracy of physical activity measurements.

A new framework for evaluating hierarchical forecasting model performance under varied conditions.

A look at the methods for studying changing processes across various fields.

Nii-C improves Bayesian data analysis through efficient sampling techniques.

Explore the four-step Bayesian workflow for improved ecological modeling.

A tool for accurate sample size calculations in clinical trials considering noncompliance.

A study introduces a method to estimate disease spread for better public health responses.

Learn how Gaussian Processes improve predictions and manage uncertainty in data analysis.

A new method improves data processing in particle physics by focusing on moments.

This article discusses how to approach treatment effects despite participant non-compliance.

New methods improve estimates of treatment effects in clinical trial subgroups.

Explore various methods for identifying anomalies across different fields.

A look into the latest techniques for classifying data with unknown labels.

This research analyzes the Hulth en potential using ordinary and superstatistical methods.

A novel approach simplifies parameter estimation in models lacking clear likelihood functions.

Explore the impact of historical control data in toxicology studies.