Latest Articles for Statistical Methods

Research aims to estimate graphons while ensuring data privacy.

A look at how compact methods improve data fitting for large datasets.

Combining OOD detection and Conformal Prediction enhances model reliability.

A look at methods for filling gaps in tensor time series datasets, focusing on NYC taxi data.

Learn how predictive mean matching improves data integration and missing value estimation.

A look into variational inference and its impact on approximating complex data.

A look into how the Allies estimated tank production during WWII.

G-VGPMIL enhances multiple instance learning for effective medical imaging analysis.

A novel approach to improve outlier detection using advanced techniques.

Strategies for analyzing sensitive data while maintaining privacy.

Learn to detect changes in data from multiple sources efficiently.

This article discusses new methods for classifying authorship through grammatical analysis.

A new method improves causal inference in health research by combining diverse data sources.

Combining two techniques to improve risk assessment in complex systems.

A look at clustering concepts, types, and real-world uses.

This research simplifies the proof of convergence for TD learning with linear function approximation.

Analyzing consumer choices using statistical moments reveals rational behavior patterns.

This study improves PSQ for better cross-language information retrieval efficiency and effectiveness.

Learn how to identify eclipse attacks using statistical methods in blockchain networks.

Exploring how transfer learning impacts model effectiveness across different data contexts.

A look at the Hoeffding test and its performance in hypothesis testing.

Shapes provide vital insights into medical conditions and disease impact.

Examining how noise affects quantum computing and the importance of fidelity standards.

Researchers develop methods to improve calibration of black hole and galaxy models.

Researchers improve X-ray scattering analysis for small biomolecules using Bayesian methods.

A new approach to evaluate how well music follows audio prompts.

BARN combines BART and neural networks for improved prediction accuracy.

This article outlines an innovative approach to improve record linkage using household information.

New statistical methods enhance monitoring in medical research and quality control.

New techniques enhance the accuracy of identifying trends in various fields.

This method combines diffusion models and GANs to generate high-quality data samples effectively.

A new method for analyzing variable relationships by including influencing factors.

Examining methods to improve data accuracy in diverse clinical trials.

New methods improve prediction accuracy and uncertainty measurement in data analysis.

A fresh method tackles long-tail recognition issues in machine learning with improved data handling.

A method to improve regression model reliability in the face of attacks.

A new method improves approximations in Bayesian statistics for complex data analysis.

This article discusses methods for modeling and identifying switched systems under uncertainty.

New method improves accuracy in spatial data analysis, addressing key public health challenges.

A new method using Bayesian networks enhances system identification and prediction.