Statistics

A new Bayesian method for better predictions using co-data in clinical research.

A new system optimizes maintenance and power production for offshore wind farms.

A study introduces a new method for understanding rainfall impacts on streamflow.

New study shows glucometers could aid diabetes diagnosis with improved accuracy.

A look at invasive species movement and their ecological impact.

A look at how treatments affected COVID-19 patient recovery in early studies.

A method enhancing causal effect estimation in health outcomes through smart statistical approaches.

This study analyzes how CADt devices can reduce patient wait times for urgent care.

A new Bayesian method for better predictions using co-data in clinical research.

This article examines techniques for assessing spatial data model performance.

A look at precision matrix estimation methods, focusing on Local Linear Approximation and sparsity.

An overview of rising patent filings and citations from 1976 to 2022.

New score matching methods address unique data types for improved statistical modeling.

A new method improves graphical models by including covariate information for better accuracy.

Explore the Tsallis-Gaussian distribution for modeling uncertainty in various fields.

A new method helps cities gauge shared mobility demand accurately.

A look into how MSTs improve data clustering techniques.

Explore methods to assess the significance of features in predicting outcomes.

A new method improves PCA effectiveness in noisy and ill-conditioned data environments.

A new framework improves model accuracy in long-tailed classification scenarios.

An overview of the Multi-Armed Bandit problem and its applications.

Introducing a method to improve analysis of brain signals using covariance matrices.

Examining how weight initialization affects neural network performance during training.

Introducing a novel approach to effective model compression techniques for neural networks.

A detailed look at machine learning method evaluation and its implications.

Introducing a two-step estimator for multilevel latent class analysis in social sciences.

Explore methods to assess the significance of features in predicting outcomes.

A new Bayesian method for better predictions using co-data in clinical research.

New methods tackle challenges of missing data in health studies.

GSPCA reduces outlier impact in data analysis, improving statistical results.

An overview of fractional factorial designs for managing complex experiments.

This article presents a method to predict healthcare costs by grouping related factors.

Examining the reliability and validation of influence functions in deep learning models.

A new algorithm enhances accuracy in forecasting disease outbreaks through detailed data generation.

A discussion on merging statistical approaches for better data analysis.

A fresh approach uncovers individual variations in program treatment effects.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

A new method improves PCA effectiveness in noisy and ill-conditioned data environments.

A look at how tempered stable distributions aid in financial modeling.

This article discusses a new method for accurate predictions while maintaining privacy.

This article discusses empirical Bayes for better variable selection in high-dimensional models.

Discover new statistical testing methods for complex datasets.

Explore the Generalized Inverse Gaussian-Poisson distribution for analyzing count data.

Learn how to enhance statistical tests for more reliable results.

An overview of how Laplace learning handles data labeling in machine learning.