Statistics

State-space models enhance count data analysis for better predictions and decision-making.

Research suggests hadrons may show complex fractal patterns, impacting our understanding of particle physics.

A new approach to model traffic flow using non-local data.

An in-depth look at how coaches decide on fourth down plays.

Distribution shifts impact the ability to replicate study results across different populations.

Corruption hinders growth and access to essential services globally.

New neural network techniques enhance analysis of interstellar medium models for star and planet formation.

A new method improves estimates by using negative controls to combat hidden biases.

This article discusses methods for improving economic forecasts through predictive synthesis.

A look into gradient descent methods and their significance in machine learning.

Learn how to create effective confidence intervals for proportion differences in small samples.

A guide to applying Optimal Scaling with GLMs for complex data analysis.

COBRA enhances survival analysis through improved variable selection and model integration.

A new approach enhances data analysis by improving missing value estimates.

A new model enhances gene interaction studies using auxiliary variables.

Learn how to avoid biases in model selection.

A novel method enhances accuracy in antibody testing and prevalence estimation.

PAVI enhances data analysis efficiency in complex models with innovative techniques.

DCMIX improves analysis of high content imaging data by estimating channel importance efficiently.

This study examines sample complexity in learning DDAGs and their connections over time.

A look into gradient descent methods and their significance in machine learning.

Examining how design decisions affect fairness in automated systems.

New methods enhance gradient estimation in particle physics programs with randomness.

This study examines advanced methods to predict ED crowding and enhance patient care.

This article discusses methods for improving economic forecasts through predictive synthesis.

State-space models enhance count data analysis for better predictions and decision-making.

This article presents a method to assess treatment effects, considering participant interactions.

Crossover designs enhance treatment studies across various fields by reducing individual differences.

Innovative techniques improve haplotype frequency accuracy in genetic research.

New measures provide insights into financial asset behavior during market stress.

A novel approach to improve spatial regression accuracy with LiDAR data.

A guide to applying Optimal Scaling with GLMs for complex data analysis.

A look at Bayesian and Frequentist methods in statistics.

New spectral approach enhances multivariate Matérn models for spatial data analysis.

Explore different methods in causal modeling and their significance for research.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article presents a new method for selecting radius in complex data analysis.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

PORTSEA advances extreme value statistics, influencing various fields and education.

Learn how SBBD improves estimation in complete bipartite graphs.

State-space models enhance count data analysis for better predictions and decision-making.

A look into network data analysis and key metrics like the Randić index.

This article discusses methods for protecting user data in recommendation systems.

Discover how non-asymptotic methods improve statistical analysis in high-dimensional data.

New bootstrap methods improve testing of population mean vectors in high-dimensional data.

Selective inference offers better accuracy for hypothesis testing post-clustering.

Researchers tackle challenges of incomplete data for accurate results.