Latest Articles for Statistics

A look into survival analysis using the Cox proportional hazards model.

Explore the links between graph theory, walking distances, and physics concepts.

Explore generalized fiducial inference, a method for estimating unknown parameters from data.

Gallstone disease affects millions and poses significant health risks.

A method to improve data classification using regularization techniques.

GFlowNets improve sampling accuracy from complex discrete distributions.

A new model improves the analysis of ratings over time.

A look at how residues behave within Pascal's Triangle under prime conditions.

A look at how transformers excel with unstructured data in regression tasks.

A look at how margins influence combinatorial optimization problems involving geometry.

This article examines a method for assessing uncertainty in network statistics.

A look into the complexities of the Poisson distribution and its applications.

New methods improve testing in high-dimensional statistical analysis.

A new method using max-stable random vectors for better variable estimation.

Introducing EP-learning for better treatment effect estimation.

This article presents an adaptive model to improve predictions with missing data.

A look into polygenic scores and their implications for traits and health.

Introducing a framework for clearer semantics in probabilistic programming languages.

New algorithms enhance clustering accuracy while minimizing query costs.

Learn effective methods for managing and storing large datasets.

Learn how causal entropy and information gain help us analyze relationships between variables.

New methods for bootstrapping in resource allocation models.

A new loss function improves density ratio estimation in machine learning.

BuffGraph improves classification for less common classes in imbalanced graph data.

A new Bayesian approach improves methods for learning DAG structures from data.

Learn how MTFA reduces data dimensions for clearer insights.

Exploring the properties and applications of bounded lecture-hall tableaux in combinatorics.

Algebra introduces new methods for handling complex data in machine learning.

A look at nonsense correlations and their implications in data analysis.

Explore how mixing time applies to changing Markov chains and random walks.

Explore innovative p-value combination methods addressing multiple comparisons with heavy-tailed distributions.

A study on the utility of vanilla spectral algorithms within the Stochastic Block Model.

A look at how information flow impacts various scientific fields.

A look into methods for dealing with spatial data irregularities.

New solvers improve data comparison across different spaces.

A method for understanding data interactions in various fields.

A new method improves causal discovery with incomplete data using optimal transport.

New methods enhance speed and efficiency in Gaussian processes for data prediction.

Learn how to create confidence sets for ranking political candidates based on survey data.

Investigating the impact of heavy-tailed noise in symmetric matrices.