Statistics

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.

Discover how mixture priors can enhance analysis of replication studies.

New models reveal complex recovery patterns of coral reefs after disturbances.

This article examines how credit ratings affect a company's leverage decisions.

This article discusses a new method for calibrating agent-based models using random forests.

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

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.

Efficient modeling techniques enhance engineering design processes and reduce costs.

A new method significantly speeds up sampling from non-Gaussian Lévy processes.

New techniques enhance localized weather predictions amidst climate change.

A new algorithm improves causal discovery using time-based background knowledge.

A new method boosts generative models' performance even with scarce training data.

State abstraction methods enhance the reliability of off-policy evaluation in complex environments.

This article discusses a new method for calibrating agent-based models using random forests.

New techniques in sampling improve efficiency in statistical analysis.

Exploring how noisy data affects model performance on unseen data.

Learn how reduced-order models aid in analyzing complex systems using causation entropy.

Study examines how brain images reveal insights into primary progressive aphasia.

A study reveals the link between race, socioeconomic status, and health outcomes.

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

Study reveals how muscle activation affects mouse locomotion on a treadmill.

A new algorithm improves causal discovery using time-based background knowledge.

Explore various methods for estimating entropy in data analysis.

A look at using historical data to enhance clinical trial analysis.

Discover how mixture priors can enhance analysis of replication studies.

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.

A look into how eigenmaps improve data analysis through effective scaling.

A new method boosts generative models' performance even with scarce training data.

A look at how transformations impact mean and covariance in data analysis.

A study on balancing transfer learning and individual privacy in data usage.

Innovative methods to analyze extreme values in weather and environmental data.

BART is a powerful tool for predicting outcomes in various fields.

A look at models for related survival times and competing risks.

Two innovative methods offer insights into system aging and reliability.