Statistics

This study examines how response times impact student ability assessments.

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

A new model improves stock volatility predictions using network analysis.

A look at how Sparse Dynamic Factor Models simplify complex data analysis.

A look into the constant, involuntary shifts of our eye movements.

Introducing +msRNAer, a tool for better understanding COVID-19 spread.

New research shows terrain impacts hiking speed in significant ways.

A new simulation framework for better procurement in logistics.

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.

A look into strictly stable laws and their impact on probability functions.

Sparse DFMs clarify data relationships for better economic insights.

Insights into machine learning methods for combining diverse data types.

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

New model integrates node attributes for better community detection in networks.

A study reveals how incompetence scores can enhance model reliability in unpredictable data environments.

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

A new framework for better data analysis and predictions.

A deep dive into enhancing model prediction accuracy through NCP.

This study reveals patterns in sperm whale sounds and their potential meanings.

A novel approach improves variable selection accuracy in studies with high-dimensional data.

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

This article reviews new techniques for modeling complex systems using GH processes.

A new method improves statistical analysis reliability amid model misspecification.

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

A new framework for better data analysis and predictions.

This article discusses methods to assess vaccine effectiveness against various virus strains.

A new method improves predictions in multi-response regression, relevant for various fields.

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.

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.

Investigating the link between bias and mean absolute deviation in statistical estimators.