Statistics

Examines the challenges and solutions in risk assessment tools across various sectors.

Examining methods for comparing treatment effectiveness in research.

New method enhances wind power forecasting accuracy despite missing information.

Using EEG to predict treatment responses in Major Depressive Disorder.

Transit agencies are enhancing bus tracking through refined GPS data analysis.

Learn how to analyze volatility in irregularly spaced financial data.

A study on estimating ICU admissions and discharges using occupancy data.

This study presents new methods to enhance soil moisture estimation for efficient irrigation.

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.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

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

Data carving improves statistical tests by efficiently using data without complex calculations.

A new method improves accuracy in kernel methods using graph data.

A framework to develop personalized policies using observational data while ensuring privacy.

Learn how group-invariant GANs improve data efficiency in generative models.

New methods improve understanding of neuronal connections despite incomplete data.

A look at how differential privacy safeguards individual information in data analysis.

A new approach integrates kernel methods with deep learning for better performance.

A look into methods identifying cause-and-effect in physical systems.

Data carving improves statistical tests by efficiently using data without complex calculations.

A new approach to improve robustness in statistical analysis of outliers.

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

New methods improve understanding of neuronal connections despite incomplete data.

New techniques improve understanding of emotions and behaviors over time.

This study highlights how mobility affects health risks from air pollution.

Examining methods for comparing treatment effectiveness in research.

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.

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.

A deep dive into model complexity and its effect on performance.

A look at how benign overfitting can benefit machine learning models.

Learn how to identify shifts in data distributions using advanced statistical methods.

Methods to estimate averages from complex, infinite dimensional data.

Learn effective methods for accurate statistical estimation in finite populations.