Statistics

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.

This article discusses a method for better predicting time series data uncertainty.

This study examines riser behavior under marine conditions through cluster analysis.

A look at how GPS data enhances traffic flow mapping accuracy.

A new framework helps researchers align and analyze neuron activity data for memory studies.

A fresh approach to ranking data using Bayesian models to group similar items.

A look at using historical data to enhance clinical trial 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.

A novel approach to study time series data and its factors in healthcare.

This article discusses a method for better predicting time series data uncertainty.

New methods for optimizing choices through preference feedback in complex environments.

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

A new method enhances efficiency and quality in language model text generation.

This article introduces a method for modeling neural activity using low-rank RNNs.

Exploring the role of tensor networks in enhancing quantum machine learning.

Exploring how DNNs recover functions in overparameterized settings.

Improving reinforcement learning with value function estimates for faster task adaptation.

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

Using external controls can enhance treatment effect estimates in clinical trials.

Examining how latent Gaussian models improve data analysis in public health and migration.

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

New models provide insight into complex systems by focusing on individual components.

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

A novel approach to enhance predictions of air quality using satellite data.

A look into how PDA helps analyze complex functional data.

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.

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.

CHCDS improves prediction accuracy without data partitioning.

This article examines the significance of maxima and the spacing test in Gaussian random fields.