Statistics

Exploring the role of ordinal models in interpreting survey data in medicine.

Integrating LLMs in deductive coding streamlines content analysis for researchers.

A new method enhances aircraft classification based on environmental effects.

New flexible forecasting framework improves accuracy in predicting energy generation.

This article explores latent factor analysis for short panels in finance.

A new tool simplifies the analysis of clinical trial data for better healthcare decisions.

Explore patterns in time series data using the martingale difference hypothesis.

A comprehensive look at the behavior of averages in statistics and probability.

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

This article discusses the Restart sampling method in generative models.

Learn how to choose predictive models effectively using Bayesian inference.

Exploring the role of PDMP and coupling in improving statistical sampling methods.

A new method for sampling from complex distributions in imaging.

New techniques enhance efficiency and accuracy in experimental design using Bayesian methods.

New algorithms improve structure learning in complex systems with many variables.

Innovative approaches combine genetics and imaging for better schizophrenia diagnosis.

Examining square-root Lipschitz loss for improved learning algorithm performance with noisy data.

New approach improves GNN performance on complex data relationships.

This article examines bias in insurance predictions and solutions for equitable treatment.

GLRU optimizes machine learning model updates for changing datasets.

Exploring the memorization and generalization capabilities of quantum neural networks.

A new method improves prediction models using structured data.

A method to transform complex data into Gaussian-like distributions for easier analysis.

New flexible forecasting framework improves accuracy in predicting energy generation.

Exploring the role of ordinal models in interpreting survey data in medicine.

This article explores latent factor analysis for short panels in finance.

A new method improves clarity in analyzing complex multivariate functional data.

Examining how personalized trials shape treatment for heart conditions.

Innovative approaches aim to improve patient care through reliable treatment guidelines.

Effective methods to handle missing data and ensure reliable research findings.

Examining how race affects access to advanced classes in high schools.

New methods for analyzing curves enhance statistical comparisons 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.

This article explores the link between lognormal distributions and mutual information analysis.

Explore effective methods for sampling from complex data distributions in networks.

Explore how topology improves the analysis of noisy periodic signals.

A comprehensive look at the behavior of averages in statistics and probability.

Explore new bounds for sums of dependent random vectors in high dimensions.

A new method for improving linear regression accuracy amid data variability.

Explore how differential privacy safeguards individual data during collective analysis.

A look at how the SOS technique simplifies complex optimization tasks.