Statistics

This article discusses how knowledge graphs improve feature selection in data analysis.

This article explores how reinforcement learning can optimize microreactor operations.

A new method assesses defenders' performance through advanced tracking data in NFL games.

A look at how missing data impacts healthcare treatment evaluations.

A closer look at disclosure risks in synthetic data and privacy protection.

A new method combines imaging and genomic data to study cancer behavior.

A method to enhance community detection in complex networks by classifying nodes.

This article presents a model for studying brain activity through multivariate time series data.

A new method merges Bayesian inference and machine learning for better data analysis.

A new method for estimating conditional expectations efficiently in uncertain environments.

Examining how population models shape genealogies and influence genetic algorithms.

New techniques in sampling improve efficiency in statistical analysis.

A novel technique using electrostatics for better data sampling and estimation.

New approaches to tackle complex linear systems efficiently.

A new method for tuning hyperparameters using Bayesian ideas.

The FLAP method enhances forecasting by using existing data in new ways.

New methods improve accuracy of regional sea-level change forecasts using machine learning.

New method enhances Bayesian Neural Networks for better generalization in transfer learning.

New methods improve wireless signal prediction and localization using neural networks.

Learn how HQR and WACI enhance prediction interval accuracy in various fields.

This article discusses how knowledge graphs improve feature selection in data analysis.

Examining credit attribution's role in machine learning and copyright issues.

Addressing confounding factors and shifts in data for better predictions.

KnewImp improves accuracy in missing data imputation and simplifies training processes.

Learn how HQR and WACI enhance prediction interval accuracy in various fields.

Addressing confounding factors and shifts in data for better predictions.

A strategic approach to safeguard research investments.

This article explores a new approach to assess treatment impact considering changing factors.

Examining the limitations of benchmarking and the value of scientific testing.

VICatMix improves clustering of complex health data for better medical insights.

A new method predicts product sales during busy events using proxy data.

A look at how missing data impacts healthcare treatment evaluations.

A look into how the estimand framework improves clinical trial analysis.

A fresh approach to understanding complex human connections through fuzzy social network analysis.

A study on how Park-and-Ride can reduce congestion and emissions.

Information significantly impacts decision-making processes across various fields.

Benford's Law reveals odd patterns in first digits across data sets.

A method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

A study on how information travels through social networks with community structures.

Explore how the stochastic block model helps identify communities in networks.

Learn how to identify unusual patterns in time-series data with Markov depth.

Learn techniques for estimating missing values in stationary stochastic sequences.

A two-stage testing approach simplifies interactions among numerous genetic variables.

Examining the role of robustness in estimating unknown distributions from samples.

Exploring the role of structured tensor priors in improving data estimates.

Discover the basics of learning Dynamic Bayesian Networks from data.

A method for effective analysis of high-dimensional tensor factor models in finance.