Statistics

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.

A new approach to analyze time series data on network edges.

Introducing an efficient model for mortality forecasting using variational inference.

Analyzing income shifts to improve economic policies and financial well-being.

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 study of arrivals through point processes and their connection to continuous processes.

A look into optimizing resource allocation in dynamic communication systems.

A new approach improves unpaired image translation using neural Schrödinger Bridges.

This article presents a novel method for hierarchical clustering that utilizes dot products for better data relationships.

This article explores how deep learning enhances survival analysis and its applications.

A new method improves divergence minimization in machine learning applications.

New methods improve data analysis without traditional likelihood functions.

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

Combining Bayesian methods with differentiable models can enhance agent-based modeling.

A practical look at new prediction intervals for statistical models.

Learn effective methods for accurate statistical estimation in finite populations.

New methods tackle biases from irregular patient check-up schedules.

A new method for discovering causal relationships using few root causes.

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

A new approach to analyze time series data on network edges.

Learn how to measure reliability and confidence in small sample tests.

A new method enhances covariate selection in causal effect estimation.

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.

An improved model for analyzing connections in bipartite networks.

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.

Examining the impact of sample size and noise on logistic regression accuracy.

Understanding smooth functions can improve learning, but they require sufficient data.

This article examines the complexities of cleaning noisy data for machine learning.