Statistics

A new filter improves tracking of moving targets in complex environments.

Research focuses on immune cell behavior to improve ovarian cancer treatment.

Understanding how social media shapes perceptions of information reliability.

Research reveals how sperm whales adapt vocal behaviors through social learning.

Study reveals links between daily patterns and health, especially diabetes.

A deep look into the extreme heatwave and its effects.

This article examines the alarming loss of Arctic sea ice and its implications.

A look into immune cells in cancer and their interactions.

A new framework combining static and dynamic models enhances time series analysis.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

Learn about Spike-and-Slab Priors and their applications in Bayesian linear regression.

New methods improve sampling efficiency and accuracy in statistics.

This study evaluates how statFEM handles errors in complex models.

A new tool to adjust survey data for better population representation.

A new method enhances Gaussian mixtures for better predictions in complex distributions.

Methods to improve estimation accuracy in large data sets.

An overview of hypergraphs and their applications in various fields.

QUAM enhances uncertainty estimates in predictions across various fields.

This framework aids users in applying Gaussian Processes effectively for predictive modeling.

Examining how incentives shape statistical practices in scientific studies.

Introducing a framework to simplify sparse regularization through smooth optimization techniques.

A new algorithm streamlines communication in feature-distributed data analysis.

A novel method improves Bayesian optimization performance using meta-learning techniques.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

Researchers develop fresh techniques for better understanding categorical data residuals.

A look at how cure rates affect treatment comparisons.

A method for locating change points in piecewise polynomial models with uncertainty quantification.

Examining how incentives shape statistical practices in scientific studies.

Study reveals links between daily patterns and health, especially diabetes.

This study introduces a graph-based approach for mediation analysis in complex data.

A deep look into the extreme heatwave and its effects.

A novel method enhances understanding of probability densities in research.

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.

Overview of volatility models in geography, finance, and environmental science.

A look at Bayesian and Frequentist methods in statistics.

An overview of hypergraphs and their applications in various fields.

A look at how the geometric median aids in robust data analysis.

A look at how cure rates affect treatment comparisons.

A method for locating change points in piecewise polynomial models with uncertainty quantification.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

Learn how to assess model fit using methods like the Weibull distribution.

A new method for estimating diffusion coefficients using ridge estimators.

This article presents a new method for predicting outcomes based on data factors.