Statistics

A novel approach improves insights into gene activity in individual cells.

Exploring the links between our microbiome, digestion, and mental well-being.

A new method enhances sample distribution in complex, high-dimensional environments.

Insights into industry connections and economic impacts in the Netherlands.

This article examines how fuzzy clustering aids in identifying states in Markov Switching models.

A look into how infectious diseases spread and the importance of research methodology.

Adjusting time series data for better analysis and predictions.

Innovative approaches to study group differences beyond traditional measures.

Adjusting time series data for better analysis and predictions.

New algorithms enhance the analysis of complex data sets across various fields.

BayesGen-AI simplifies Bayesian computation, enhancing decision-making in various fields.

New methods improve data analysis without traditional likelihood functions.

A method to improve inference accuracy despite model misspecification using robust statistics.

Learn how RFMS improves feature selection for complex data analysis.

This study improves uncertainty quantification for safer nuclear reactors.

CRAN Task Views provide R users with organized tools for specific tasks.

WebGUM automates web tasks using visual and language understanding for improved efficiency.

New approaches aim to improve GCN performance and generalization.

Introducing temporal predictive coding to explain how the brain remembers sequences.

A new method to improve interpretability in GAMs by tackling concurvity.

Assessing privacy risks in deep learning against various attacks.

A new method improves data sampling using normalizing flows and Langevin dynamics.

A new framework enhances event generation using historical data.

A new method improves prediction intervals for machine learning models under shifting data.

A novel approach improves insights into gene activity in individual cells.

A new method enhances sample distribution in complex, high-dimensional environments.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

A look into how infectious diseases spread and the importance of research methodology.

Innovative approaches improve accuracy of health data from wearables.

Adjusting time series data for better analysis and predictions.

Innovative approaches to study group differences beyond traditional measures.

A new method enhances population estimates in small areas using existing data.

Examining the conflict between data access and confidentiality in research.

Learn about advanced means and their role in data analysis.

A new method improves how we cluster data with numbers and categories.

How delays impact the efficiency of adaptive trial designs.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

A look into the workings of deep neural networks and their complexity.

Introducing causal spaces to improve our understanding of causality.

This article discusses key issues in identifying linear systems through data.

This paper presents a novel method for distribution approximation using Kernel Stein Discrepancy.

New design improves the accuracy of treatment effect estimates using covariate balance.

Advancements in understanding particle interactions in non-traditional environments.

A method to reconstruct missing data in functional analysis accurately.

A look at how spatial point processes help model events in various contexts.