Statistics

Researchers improve reliability testing of one-shot devices using innovative statistical methods.

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.

A new approach enhances MCMC sampling efficiency using Riemannian geometry.

This article discusses innovative methods for better statistical analysis of grouped data.

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.

New method examines how training data affects AI model outputs.

New algorithms enhance sampling from known and unknown distributions for practical applications.

A look into analog deep learning's potential benefits and challenges in artificial intelligence.

This method enhances understanding of model behavior through input-output relationships.

New methods enhance machine learning model predictions using experimental data.

New approach enhances decision-making by adapting insights from low-cost environments.

A new method for effective topic modeling in large texts.

Learn how warmup can improve model training performance in deep learning.

A new method selects key variables to enhance time series forecasts.

A new approach enhances MCMC sampling efficiency using Riemannian geometry.

Researchers improve reliability testing of one-shot devices using innovative statistical methods.

This article discusses innovative methods for better statistical analysis of grouped data.

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 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.

New algorithms enhance sampling from known and unknown distributions for practical applications.

This article discusses innovative methods for better statistical analysis of grouped data.

Explore key estimators for linear regression and their impact on predictions.

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.