Statistics

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.

Learn how accurate forecasting of intraday data can enhance trading decisions.

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 framework enhances sampling efficiency in complex probability distributions.

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

A method to improve clinical trials by integrating historical data flexibly.

New methods in learning algorithms leverage sampling and approximation for improved predictions.

A new method enhances numerical feature encoding in recommendation systems.

A new method enhances kernel interpolation for high-dimensional data analysis.

This paper examines the importance of statistical indistinguishability in learning algorithms.

Machines are improving in reading and understanding long texts.

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

Examining methods for comparing treatment effectiveness in research.

A method to improve clinical trials by integrating historical data flexibly.

A method for measuring uncertainty in causal orderings from observational data.

A new method blends model estimates for better reliability and accuracy.

Examining how economic factors shape rental prices across neighborhoods post-crisis.

CANVI improves prediction reliability in variational inference for various applications.

A novel approach for predicting complex time series data across space and time.

A practical look at new prediction intervals for statistical models.

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 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.

Introducing innovative tests for analyzing spherical and hyperspherical data distributions.

A new algorithm improves reinforcement learning efficiency and minimizes data needs.

A method leveraging human insights for effective offline reinforcement learning.