Latest Articles for Statistics

A new method combines deep learning and genetic algorithms for faster Bayesian inference.

Learn how Monte Carlo methods improve confidence intervals in research.

A study on joint modeling of survey data while addressing location anonymization challenges.

A novel approach to group similar functional time series for better analysis.

Introducing a framework to quantify uncertainty in predictive models, especially in complex data spaces.

A look at how large language models form beliefs and make decisions.

A new approach enhances data analysis by improving trustworthiness and generalizability.

This article examines random motion patterns within a square, focusing on direction changes.

Learn about time-inhomogeneous Markov chains and their behavior over time.

New method SAVA enhances data selection for better model performance.

Using statistical divergences for hypothesis testing in high dimensional data analysis.

Introducing a flexible approach for analyzing adaptive trials with reduced bias.

Introducing a quick method for building optimal Decision Trees using innovative techniques.

Learn how CME and compression improve predictions from complex data.

Explore how random matrices reveal insights into complex systems across various fields.

This study examines the relationship between scalar responses and functional covariates using advanced statistical methods.

A method for building confidence regions in statistical equations for treatment effects.

Improving DNN performance through efficient data sampling methods.

A new method improves confidence scoring in language models using stable explanations.

A look into orthogonal polynomials, their types, and significance.

Learn about Approximate Message Passing and its role in data processing.

This article examines the theoretical aspects of the Plug-and-Play algorithm for image processing.

This paper discusses how WALS enhances predictions in count data analysis.

A method to test interactions between events over time using statistical models.

Introducing SGBD: a technique to improve Bayesian sampling efficiency.

This study assesses the forecasting abilities of language models compared to humans.

New methods enhance redescription mining efficiency for diverse datasets.

A look at how calibrated sensitivity models improve causal inference in studies.

Learn how resampling techniques improve the stability of statistical findings.

Exploring first passage time problems and their impact across various fields.

A new approach to measuring fairness in college admissions and credit assessments.

A clear look at how measurement errors impact statistical predictions.

Understanding the complexities of evaluating single-treatment effects in factorial designs.

This article discusses the challenges in model validation due to contaminated data.

Explore the role of martingales in finance, gambling, and statistics.

A clear look at how compound sums apply to real-world situations.

A method addressing data errors in high-dimensional analysis.

Partition identities bridge mathematics and physics, offering insights into complex systems.

This study examines the timing of first passage events in classical and quantum processes.

A new method to analyze relationships between two variables using spline approximations.