Statistics

A new method for sampling from posterior distributions in inverse problems using Laplace priors.

New methods enhance detection of quick, small optical events with improved efficiency.

This article examines the BAR method for variable selection in medical research.

Introducing a model that accounts for animal memory in population estimates.

cosimmr improves the study of animal diets with fast and insightful analyses.

New methods improve data accuracy in wind energy production.

A fresh approach enhances understanding of data relationships in machine learning.

Research improves accuracy of postmortem interval estimation using larger datasets.

A new method for sampling from posterior distributions in inverse problems using Laplace priors.

Nonparanormal models provide insights into complex, non-normal data relationships.

Studying how to group students for effective language placement tests.

A method to enhance simulations using Bayesian ideas and active learning.

Explore the psvmSDR package for efficient variable reduction in data analysis.

This study assesses the impact of social connections on individual outcomes.

A new method enhances temperature selection for efficient statistical sampling.

This article discusses dataset distillation and its importance in various fields.

Using machine learning for better GNSS scintillation predictions.

Learn how transfer learning improves machine learning outcomes with limited data.

A new method for simplifying high-dimensional data without prior knowledge.

This article examines how prevalence shapes unsupervised learning and classification in diagnostics.

A look at the Generalized Naive Bayes approach and its impact on data classification.

A novel approach improves the accuracy of lithium-ion battery health assessments.

Exploring efficient algorithms for decentralized learning while preserving data privacy.

New methods enhance detection of quick, small optical events with improved efficiency.

A new method improves density estimation in irregular spatial domains.

A look at how aliasing affects observational research and its findings.

A comprehensive look at how the Philadelphia beverage tax influences consumer behavior.

New methods enhance understanding of cancer treatment outcomes and missing data.

Improved methods for assessing Pareto type-I distribution with censored data.

This article discusses the significance of measuring uncertainty in health data analysis.

This article examines the BAR method for variable selection in medical research.

Nonparanormal models provide insights into complex, non-normal data relationships.

Examining how scatterers affect wireless signal quality in various environments.

Learn how motion affects wireless communication signals and their reliability.

Discover strategies to improve your odds in Hopscotch and Warships.

New forecasting methods enhance demand prediction accuracy and inventory management.

A guide to efficiently format academic submissions using elsarticle.cls.

A look at the Ornstein-Uhlenbeck process and its real-world applications.

New adaptive detection algorithms improve target identification in complex environments.

A new method improves estimation of population characteristics using mixed sampling data.

Learn how transfer learning improves machine learning outcomes with limited data.

Improved methods for assessing Pareto type-I distribution with censored data.

This article discusses the significance of measuring uncertainty in health data analysis.

A look into variable selection methods for complex data analysis.

A look into kernel regression's challenges and insights in high-dimensional settings.

A new method enhances the analysis of functional data by accounting for directionality.

Discover methods to analyze complex, non-uniform data across different areas.

Patient-specific models enhance understanding of heart blood flow and treatment strategies.