This study presents a new method for bi-clustering using block-diagonal covariance.
― 6 min read
Statistics - Computation
RSSLatest Articles
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Introducing mGHS for effective network analysis across diverse datasets.
― 7 min read
Research reveals a new approach to analyze health outcomes over time.
― 4 min read
This article examines the trade-offs in factorized approximations used in variational inference.
― 6 min read
SNAMs offer clearer insights into machine learning predictions.
― 5 min read
A new method improves data classification using covariance matrix clustering.
― 6 min read
Learn about key concepts in optimization and sampling for effective decision-making.
― 8 min read
Discover innovative methods for analyzing longitudinal data using the lqmix R package.
― 6 min read
RESI streamlines the reporting of effect sizes in research studies.
― 4 min read
A focused approach to improving variational inference accuracy.
― 8 min read
This study highlights methods for analyzing brain signals using covariance matrices.
― 6 min read
Examining structures in data through connected clustering methods.
― 7 min read
RNNC offers efficient analysis of satellite data, improving accuracy and speed.
― 6 min read
A guide to spatio-temporal point processes and their applications across various fields.
― 5 min read
CUSP priors improve Bayesian factor analysis by managing model complexity.
― 7 min read
New sampling techniques enhance accuracy and efficiency in analyzing complex hidden systems.
― 6 min read
A fresh approach to managing investment risk by focusing on pessimistic outcomes.
― 6 min read
A statistical approach to manage two related proportions effectively.
― 6 min read
This article explores the Delaunay-Rips complex for analyzing complex data in machine learning.
― 5 min read
EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.
― 5 min read
A novel approach to estimate predictive model performance quickly and accurately.
― 5 min read
A look into MSMC methods for better data estimation over time.
― 7 min read
Learn how probability density functions apply to stable laws in various fields.
― 6 min read
Examining new methods for evaluating communication systems reliability.
― 5 min read
Learn how reversiblizations enhance the study of Markov chains.
― 6 min read
A detailed look at lung cancer and health-related death rates across US counties.
― 5 min read
R's new color functions enhance data visualization for better clarity and accessibility.
― 6 min read
A new approach for evaluating statistical models against skewed distributions.
― 6 min read
Rang helps researchers document and recreate their computational environments for accurate analysis.
― 7 min read
New non-diagonal metrics enhance Bayesian inference for neural networks.
― 6 min read
A study on using the Birnbaum-Saunders distribution for better fatigue life estimates.
― 5 min read
Analyzing the random connections in Erdős-Rényi networks reveals insights into network behavior.
― 6 min read
A new Bayesian method for better predictions using co-data in clinical research.
― 6 min read
This article examines techniques for assessing spatial data model performance.
― 9 min read
A look at precision matrix estimation methods, focusing on Local Linear Approximation and sparsity.
― 6 min read
An overview of rising patent filings and citations from 1976 to 2022.
― 8 min read
New score matching methods address unique data types for improved statistical modeling.
― 5 min read
A new method improves graphical models by including covariate information for better accuracy.
― 5 min read
Explore the Tsallis-Gaussian distribution for modeling uncertainty in various fields.
― 6 min read
A new method helps cities gauge shared mobility demand accurately.
― 7 min read
A method to reveal trends in functional data through clustering and segmentation.
― 5 min read