Latest Articles for Statistics

A new method enhances learning from complex data using Wasserstein proximals.

Learn how Bayesian inference updates beliefs with new evidence.

Methods for transforming complex data into clear visual formats.

Learn how quantile regression and MM algorithms improve data analysis across various fields.

This paper discusses creating confidence bands for spectral density in stationary time series.

Learn how population data enhances prediction accuracy in uncertain models.

Calibration helps improve accuracy in disease spread models for better health decisions.

This study examines the impact of mean and median brightness on Cepheid distance calculations.

A look into the behavior of stable processes near geometric boundaries.

This article examines Bayes posteriors in nonlinear inverse problems from a frequentist view.

A new Bayesian approach enhances Gaussian processes for better prediction and uncertainty handling.

New confidence sequences improve uncertainty estimation in statistical models.

New models improve predictions and explanations in survival analysis.

A data-driven method enhances confidence estimates in high-dimensional regression scenarios.

Local ultrametricity sheds light on data relationships in analysis.

Learn how data-driven methods enhance decision-making through conditional expectations.

A new method enhances PCA by using higher-degree Voronoi diagrams to handle outliers.

A study on how LLMs differ from humans in understanding bar charts.

CTI offers a new method for more accurate and informative prediction intervals.

A new method improves data analysis efficiency using Sparse Variational Student-t Processes.

Learn how to estimate functions from data in dynamic systems using various models.

New models improve estimation methods for ordinary differential equations using observational data.

Evaluating dimension reduction techniques requires attention to scaling effects.

A look at new metrics and automation in propensity score matching for health research.

A fresh approach to improve accuracy in analyzing compositional data with measurement errors.

A fresh approach improves accuracy in estimating biological age from DNA methylation.

This article discusses a method for finding binomial identities with computer assistance.

New methods improve variable selection in high-dimensional data analysis.

Study on how perturbations impact eigenvalues in random matrices.

A new framework enhances analysis of continuous-discrete state space models using particle-based techniques.

Learn how Huber means provide a stable average in data with outliers.

Learn how time series analysis aids in predicting future trends.

A method for estimating means despite the impact of outliers.

A method to see similarities and differences in data intuitively.

A new approach to compare conditional distributions using ECMMD in statistics.

A new framework for testing probability distributions using quadratic distances.

An exploration of prime matrices and their breakdown into simpler tensor products.

A new technique simplifies sampling from complex probability distributions in data science and finance.

Learn how matrix majorization aids in comparing probabilities across different matrices.

Learn how minimax estimation helps in managing uncertainty in data analysis.