Statistics

Introducing a statistical model to improve glaucoma monitoring through macular thickness measurements.

Improving patient care through advanced statistical analysis of critical health data.

Explore the Tsallis-Gaussian distribution for modeling uncertainty in various fields.

Learn how to establish the right sample size for effective healthcare prediction models.

Researchers face challenges with the Dunnett procedure due to varying variances.

Study reveals how link recommendations shape social network dynamics over time.

This article discusses strategies for controlling systems affected by unpredictable changes.

This study examines how response times impact student ability assessments.

A new method improves graphical models by including covariate information for better accuracy.

Explore the Tsallis-Gaussian distribution for modeling uncertainty in various fields.

A new method helps cities gauge shared mobility demand accurately.

A method to reveal trends in functional data through clustering and segmentation.

Waywiser simplifies assessment of spatial models for reliable predictions.

Learn about Hamiltonian Monte Carlo and its role in sampling complex distributions.

A look into Generalised Linear Mixed Models and their applications.

A new method analyzes factors influencing sudden cardiac death using large health datasets.

Exploring reinforcement learning applications for complex nonlinear control systems.

This method uses kernel techniques to efficiently find ground states in quantum systems.

Strategies to enhance model performance in new data environments.

Introducing a method that improves image style transfer without extra training.

Learn how Mixup improves machine learning model training and performance.

A new method enhances unsupervised domain adaptation in healthcare and beyond.

GLASU enhances communication efficiency in vertical federated learning using graph data.

A deep dive into methods for improving data quality through matrix denoising.

Learn to build contingency tables maintaining specific probabilities and relationships.

A new method improves graphical models by including covariate information for better accuracy.

Improving patient care through advanced statistical analysis of critical health data.

Learn how the multiscale penalty method identifies significant data shifts effectively.

Learn how to establish the right sample size for effective healthcare prediction models.

This study enhances Z-residuals through cross-validation in survival analysis.

Researchers face challenges with the Dunnett procedure due to varying variances.

A new approach enhances accuracy in cancer survival estimates using registry data.

Examining the reliability and validation of influence functions in deep learning models.

A new algorithm enhances accuracy in forecasting disease outbreaks through detailed data generation.

A discussion on merging statistical approaches for better data analysis.

A fresh approach uncovers individual variations in program treatment effects.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

Exploring how misspecified priors can still yield reliable statistical estimates.

A new statistical approach improves analysis of genetic influences on metabolites.

A new method improves statistical analysis reliability amid model misspecification.

The Neural Frailty Machine improves predictions in survival analysis across various fields.

An overview of SFDEs and their applications in various fields.

This article discusses enhancing decision-making in human-sensor systems using quantum decision theory.

IPNN offers a new way to classify and cluster data effectively.

An overview of QML estimation and its applications in factor models.