Statistics

Research on clustering methods improves understanding of extreme climate interactions.

MIXALIME enhances research on allele-specific expression in genetics using advanced statistical models.

A flexible approach to statistical modeling for diverse datasets.

Research reveals insights into how similarity influences our decision-making process.

A study on the trends and characteristics of AI-generated images using TWIGMA.

A look into the star formations and their chemical characteristics in our galaxy.

This paper examines biases in word embeddings using a Bayesian approach.

Examining the role of race and ethnicity in diabetes risk assessments.

A flexible approach to statistical modeling for diverse datasets.

Exploring methods for identifying shifts in time series across various fields.

A new method enhances state estimation with efficient updates over time.

Explore how quantile coherence aids in understanding financial time series interactions.

Researchers utilize ICE g-computation for more reliable health outcomes.

A modern approach to improve spatial data analysis using machine learning methods.

A new method improves variable selection in survival analysis models.

New technique improves inference for latent Gaussian models with complex data.

ALFFI offers a fresh approach to simplify complex data analysis across various scientific fields.

Research enhances SVAEs for better data handling and interpretability.

A deep look at supervised contrastive loss and its impact on deep neural networks.

Introducing IMAVAE, a framework for better understanding treatment effects through complex mediators.

A new method to find hidden influences in complex data relationships.

Learn about a new algorithm improving decision-making safety and efficiency.

Learn how DP-OPH techniques safeguard user data in analytics.

Innovative methods improve ads targeting efficiency using sparse data and advanced algorithms.

Research on clustering methods improves understanding of extreme climate interactions.

ALFFI offers a fresh approach to simplify complex data analysis across various scientific fields.

A new model enhances understanding of complex cellular behaviors through advanced data analysis.

A flexible approach to statistical modeling for diverse datasets.

MMD-FUSE enhances two-sample testing through improved kernel selection and adaptive methods.

New methods improve decision-making in dynamic environments using existing data.

This article discusses a model for analyzing extreme weather and angular components.

Exploring methods for identifying shifts in time series across various fields.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

Learn how automation can simplify grading open-ended assignments for educators.

MMD-FUSE enhances two-sample testing through improved kernel selection and adaptive methods.

This article discusses a model for analyzing extreme weather and angular components.

Enhancements in diffusion models boost speed and accuracy in data creation.

A new method for confirming elliptical distributions in multivariate data analysis.

A look at mixture models and their role in data clustering.

A look into multiple testing challenges and error management.

A look at advanced methods for understanding complex datasets.

Explore how smoothness impacts model performance on unseen data.