Statistics

This article presents a new method to study hurricane movements using Bézier splines.

Research reveals insights into human movement through cellphone activity.

Methods for managing missing accelerometer data in clinical trials.

A look at how reconciling forecasts improves decision-making across various fields.

Researchers improve methods for studying grid cells and spatial understanding in the brain.

Improving estimates in dynamic systems with innovative filtering methods.

This study focuses on enhancing sonar target detection using advanced techniques.

This research addresses random errors from vibrations in measurement tools.

Research reveals insights into human movement through cellphone activity.

A look at how reconciling forecasts improves decision-making across various fields.

Improving estimates in dynamic systems with innovative filtering methods.

Microcanonical Langevin Monte Carlo improves sampling efficiency in complex systems.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

Discover the benefits of using ChatGPT in programming tasks.

New methods enhance data gathering efficiency and insight accuracy.

A clear look at how principal stratification reveals treatment effects in research.

A look at how machines learn decision-making under uncertainty.

Research aims to enhance data representation using nonlinear methods and temporal structures.

A new method for optimizing machine learning while maintaining orthogonality efficiently.

Exploring over-parameterization and activation functions in neural networks and their impact on performance.

A method improves image correction for fisheye lenses using city grid assumptions.

Exploring extragradient methods for solving complex optimization problems.

Introducing a new IRT model that improves parameter estimation for assessments.

Explore the latest trends in multiclass classification and online learning.

Methods for managing missing accelerometer data in clinical trials.

A look at how reconciling forecasts improves decision-making across various fields.

Researchers improve methods for studying grid cells and spatial understanding in the brain.

A discussion on merging statistical approaches for better data analysis.

A new method, FOLD, enhances clustering accuracy by focusing on localized densities.

A guide to selecting the right evaluation metrics for binary classification.

Examining how treatment effects vary among diverse groups to improve health outcomes.

A new approach to analyze compositional data for better health outcome predictions.

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.

This article discusses a method to improve dolphin population estimates using advanced techniques.

Explore a new method for analyzing treatment effects over time.

A discussion on merging statistical approaches for better data analysis.

A look at the relationship between skewness of multiple random variables under uncertainty.

This study examines failure data using innovative statistical methods.

This article examines the challenges of ICA and explores methods for improvement.

A method for improved confidence intervals in monotone regression using SLSE.

Understanding complex interactions in datasets using tensor methods.

Learn how to evaluate parameter identifiability using a Bayesian approach.

An overview of techniques for filling missing values in long matrices.