Statistics

A structured approach to finding meaningful spatial relationships in diverse fields.

This study examines statins and cognitive ability, considering patient death in outcomes.

Proper scoring rules enhance the evaluation of probabilistic forecasts across various fields.

A look into identifying regional-colocation patterns and minimizing false discoveries.

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

A framework for better estimating treatment effects in paired cluster-randomized experiments.

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

Learn strategies to enhance A/B testing practices for improved business decisions.

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.

A look at the benefits of expectation propagation for statistical analysis.

This article discusses methods for estimating quantiles in directional data.

WLDA improves AI classification by handling missing data effectively.

SON-NMF offers a new approach to estimating ranks in matrix factorization.

A new method for more efficient Bayesian inference through particle variational inference.

Introducing a method to simplify variable relationships in graphical models through clustering.

A new method for tuning hyperparameters using Bayesian ideas.

Efficient modeling techniques enhance engineering design processes and reduce costs.

This research enhances Gaussian Processes using adaptive Fourier features for better predictions.

Learn about causal structures and the impact of unmeasurable variables.

This study examines statins and cognitive ability, considering patient death in outcomes.

A guide to understanding reliability in psychology assessments.

A flexible model for analyzing complex datasets with changing relationships.

Proper scoring rules enhance the evaluation of probabilistic forecasts across various fields.

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

A framework for better estimating treatment effects in paired cluster-randomized experiments.

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

A review of methods to improve causal inference using RCTs and RWD.

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.

Examining how scatterers affect wireless signal quality in various environments.

Two innovative methods offer insights into system aging and reliability.

Proper scoring rules enhance the evaluation of probabilistic forecasts across various fields.

NCP simplifies learning conditional probabilities for better decision-making across fields.

A look at model evaluation methods and their effectiveness.

A look at structured covariance matrices and their role in analyzing variable relationships.

Exploring the impact of sparse random projections on high-dimensional data analysis.

A detailed look at clustering methods and their definitions.

Discover simplified methods for calculating cross-partial derivatives in complex functions.