Statistics

A study on advanced methods for evaluating basketball players' contributions.

A detailed analysis of ODI cricket's performance trends over 36 years.

A study introduces a model to estimate the spread of COVID-19 across regions.

Researchers use machine learning to improve detection of internal solitary waves in ocean data.

Examining the divide between elites and the masses in political discussions online.

Using gene expression data to predict chemical impacts on health and environment.

Analyzing traditional and machine learning methods for handling missing data.

Learn how vine copulas improve predictions in complex data relationships.

Learn how data augmentation algorithms improve data analysis and model building.

A new method combines divide-and-conquer MCMC with diffusion models for better sampling.

This article discusses methods to sample from complex high-dimensional data more effectively.

A novel approach to understanding stock interactions during market changes.

Bayesian methods improve data analysis speed and accuracy for large datasets.

A new method merges Bayesian inference and machine learning for better data analysis.

A new method for estimating conditional expectations efficiently in uncertain environments.

Examining how population models shape genealogies and influence genetic algorithms.

Exploring how machine learning techniques assist in solving inverse problems across various fields.

A concise overview of factor regression models and their applications.

A look at two key approaches in data science and their unique strengths.

A new approach enhances data distribution modeling on complex shapes.

Discover how diffusion models generate realistic data through noise manipulation.

Discover how diffusion models transform noise into realistic data samples.

A fresh method to compare privacy mechanisms in machine learning.

Research improves models by addressing uncertainty in Universal Differential Equations.

A look at two key approaches in data science and their unique strengths.

Overview of randomization inference methods and their applications in research.

Learn how data augmentation algorithms improve data analysis and model building.

N-of-1 trials tailor treatments to individual patient responses over time.

This paper focuses on improving the reliability of language model outputs.

A new method identifies groups at risk from harmful chemicals.

A deep dive into how uncertainty impacts predictions in hierarchical modeling.

Using Bayesian methods to improve treatment effect estimates in medical research.

This research develops methods for fair resource allocation despite limited user feedback.

A look into how the estimand framework improves clinical trial analysis.

A fresh approach to understanding complex human connections through fuzzy social network analysis.

A study on how Park-and-Ride can reduce congestion and emissions.

Information significantly impacts decision-making processes across various fields.

Benford's Law reveals odd patterns in first digits across data sets.

A method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

Exploring how machine learning techniques assist in solving inverse problems across various fields.

A concise overview of factor regression models and their applications.

A fresh method to compare privacy mechanisms in machine learning.

A look at how randomized experiments reveal cause-and-effect relationships across various fields.

New methods enhance parameter estimation in spin glass models.

This article discusses the role of minimax procedures in enhancing linear regression accuracy.

Learn how to predict the times extreme weather conditions can occur.

This article discusses methods to sample from complex high-dimensional data more effectively.