Statistics

This article discusses a new method for analyzing neuroimaging studies.

A new method improves accuracy in calibrating models using functional data.

This study examines how to analyze interconnected machine data for better insights.

This article explores how AI is transforming Earth observation and data analysis.

This article presents a new model for monitoring mental health and educational growth.

Understanding the link between medication adherence and survival in heart failure.

A new model captures diverse country responses to global economic shocks.

Exploring the role of detailed data in improving clinical trial outcomes.

Discover how SIS enhances the quality of MCMC samples.

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.

Learn how researchers improve treatment estimates by merging study data.

A closer look at CNNs and their inner workings through the Hessian matrix.

A fresh algorithm to tackle optimization in probability simplex efficiently.

AWRTRD improves tensor analysis for large, complex datasets.

Innovative improvements aim to speed up TNNs while maintaining their effectiveness in processing long sequences.

Addressing inequalities in public health messaging through community-focused strategies.

This study examines how to analyze interconnected machine data for better insights.

Label smoothing reduces overconfidence and improves model performance in classification tasks.

This article discusses a new method for analyzing neuroimaging studies.

BOSS offers faster, reliable solutions for finding optimal biomarker cutoffs.

A look at combining sampling methods for better data accuracy.

Learn how researchers improve treatment estimates by merging study data.

Learn a new method for estimating marginal likelihood in Bayesian models.

A new method improves accuracy in calibrating models using functional data.

Researchers use advanced models to analyze EEG signals for better understanding of brain functions.

Methods for indirect treatment comparisons help guide healthcare decisions.

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.

Balancing privacy concerns with the need for effective data analysis.

Explore the concepts of flags and flagfolds in analyzing complex data structures.

This article explains the challenges of finite sample stickiness in statistical analysis.

A look at how mixture models can help analyze complex datasets.

An analysis of extreme events using max-stable time series and tail dependence coefficients.

An innovative approach combining offline and online reinforcement learning for improved decision-making.

Exploring how signature transform enhances feature selection in Lasso regression.

Exploring the impact of data dependence on linear regression performance.