Latest Articles for Statistics

A look at Bayesian and Frequentist methods in statistics.

Exploring the role of submodular functions in random variables under negative dependence.

A look at how random factors shape collections of points.

Learn how to create effective confidence intervals for proportion differences in small samples.

A look into network data analysis and key metrics like the Randić index.

A look at how Random Forests estimate prediction accuracy for better data classification.

This article discusses a new approach to improve estimates in event timing studies.

Discover a new method for working with joint distributions in probabilistic programming.

A robust quantile regression method improves predictions in medical imaging tasks.

New bootstrap methods improve testing of population mean vectors in high-dimensional data.

This article discusses using U-statistics for better dyadic data analysis.

Selective inference offers better accuracy for hypothesis testing post-clustering.

Researchers tackle challenges of incomplete data for accurate results.

Learn how Bayesian methods enhance prediction accuracy in uncertain outcomes.

Introducing the Stochastic Steepest Descent Method for better optimization in complex spaces.

A method to optimize privacy settings for better data protection and utility.

A guide to isomorphic means and their applications in comparisons.

BETULA enhances hierarchical clustering, making it faster and more efficient.

The Radon-Kolmogorov-Smirnov test enhances two-sample testing in statistics using neural networks.

ProSMIN improves model representation without labeled data, addressing key challenges in self-supervised learning.

A new model enhances gene interaction studies using auxiliary variables.

A new method to enhance predictions in Bayesian deep learning by focusing on key parameters.

Uncovering the unexpected distribution of leading digits in large datasets.

Learn how robust tensor decomposition improves data analysis amidst noise and outliers.

A look at how stochastic memoization improves probabilistic programming.

A new method to handle missing values in decision trees.

Group testing offers a streamlined approach to identify defects in various fields.

An overview of cyclic monotonicity and its impact on transportation problems.

This article examines power variations in stochastic processes influenced by fractional Brownian motion.

Learn how to handle extreme data points in analysis effectively.

Efficiently ranking items while considering noisy pairwise comparisons using spectral methods.

This article examines how the lasso technique improves variable selection through neural networks.

A look into how numbers can be expressed as sums of integers.

Learn how DBMR and NMF make data analysis easier.

Learn how machine learning models perform on unseen data.

Examining how various factors influence mixing times in urn models.

A new method enhances prediction reliability despite incorrect data labeling.

A look into how fractional Brownian motion crosses levels over time.

A new method enhances understanding of complex time series relationships.

Exploring metric learning techniques for high-dimensional data.