Statistics

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.

A flexible approach to analyze complex datasets using Shared Atoms Nested priors.

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.

New techniques in sampling improve efficiency in statistical analysis.

Introducing a new method to enhance efficiency in large language models through pruning.

A new approach enhances causal discovery accuracy in complex data relationships.

Learn how mini-batch SGD improves neural network training and feature selection.

A new method to enhance donor selection for causal effect estimation.

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

UNHaP effectively detects physiological events by filtering noise from genuine signals.

A new method improves guidance in diffusion models using reinforcement learning.

Discover how Routing-by-Memory enhances MLP performance in graph neural networks.

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

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

A new method to enhance donor selection for causal effect estimation.

Introducing jointLCA, a method for better understanding multiview data connections.

A new approach enhances multi-modal learning by addressing data contribution imbalances.

Introducing a Bayesian approach to improve variable selection in regression models.

A guide to optimizing subsample size for efficient data analysis.

Learn how Cluster Quilting addresses challenges in patchwork learning with incomplete datasets.

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.

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.

Learn how kernel regression and Bayesian updating improve predictions with new data.

Innovative methods to retrieve time labels from noisy dynamical data.

This article introduces minimax quantiles for better statistical estimates.

This study examines Bayesian PINNs for estimating PDE parameters from noisy data.

Two new estimators enhance accuracy in analyzing item response data.