Statistics

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 study on the healthcare challenges faced by nursing home residents in the Basque Country during the pandemic.

A new approach to reliability sensitivity analysis improves structural safety assessments.

Study highlights soil microbes' role in predicting plant health and productivity.

A new method aims to enhance peer reviews by collecting authors' self-rankings.

A guide to effective analysis of stepped wedge designs in public health research.

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.

This article discusses the Restart sampling method in generative models.

A look at how computers are changing music composition.

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

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

A method for drones to enhance communication efficiency and reduce interference.

A method to identify changes in time series data across various fields.

Using machine learning to classify entangled and separable quantum states efficiently.

Efficiently detect anomalies without labeled data using nonlinear manifold learning.

Strategies to enhance the training of deep learning models effectively.

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

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

New methodology boosts Bayesian trial efficiency and decision-making.

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

Researchers analyze disease connections to improve health outcomes in patients with multiple conditions.

A study on the healthcare challenges faced by nursing home residents in the Basque Country during the pandemic.

A method to pinpoint causal factors in robotic interactions with environments.

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

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.

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.

Exploring the role of the R'enyi index in assessing network diversity.