Latest Articles for Statistics

A new approach to make high-dimensional data easier to manage.

A look into how particles spread in various systems.

A new method to tackle large-scale trace ratio issues in classification tasks.

A clear guide to point processes and their role in optimal transport.

Exploring robust optimization methods for uncertain data in decision-making.

An efficient method for fitting complex models using probabilistic data.

A look into estimation methods and their applications in quantum systems.

A deep dive into methods for estimating the mean of probability distributions.

Examining how the matching number behaves in sparse random graphs.

A new method improves outlier detection and estimation in multi-dimensional datasets.

Examining how distance correlation measures variable dependence and its response to outliers.

Exploring the properties of symmetric random matrices and their eigenvalues.

A new method reduces complexity in hierarchical categorical data for improved predictions.

A new method streamlines document reviews using Chao's Population Size Estimator.

Quantum sampling offers fresh methods for tackling difficult challenges in various fields.

How different communication methods influence decision-making in uncertain situations.

PCA reduces data complexity while retaining important information across various fields.

A method for restoring clarity in blurred images through statistical techniques.

New methods improve modeling and predictions in statistics using kernel ridge regression.

Introducing a method to improve Bayesian analysis efficiency in complex systems.

Explore nonparametric testing methods for effective research outcomes.

Exploring how changing health exposures impact outcomes with innovative statistical techniques.

Learn how factor analysis and varimax rotation clarify complex data structures.

A look into non-Hermitian Wishart matrices and their applications in statistics and physics.

Learn how to simulate conditioned diffusions in complex curved spaces.

ALCORE simplifies tensor analysis to manage sparse count data efficiently.

DOUST uses test-time training to improve outlier detection without needing labeled data.

A look into random matrices and their applications in various fields.

A look into how tangles assist in data grouping and analysis.

A look at how different statistical methods affect uncertainty in nuclear science.

Extending Sliced-Wasserstein distances to Cartan-Hadamard manifolds for improved data comparison.

CLOUD offers a solution for hidden causes in causal analysis across varied data types.

A method to improve statistical analysis and interpretation in economics.

Learn effective methods for tuning scale matrices in Hamiltonian Monte Carlo sampling.

New algorithms ensure fairness and diversity in data selection.

This article examines nodal count and surplus in graphs with independent cycles.

A look at joint modeling combining repeated measurements and event timing in health studies.

Explore the unique traits of conjugation-invariant random permutations.

A look at causal inference, treatments, and intermediate variables in research.

A new method enhances active learning for imbalanced datasets.