Statistics

Researchers introduce a method to analyze treatment timing impacts on hospital visits.

A method for analyzing multidimensional poverty at the local level.

The study evaluates Bayesian methods for analyzing pediatric type 2 diabetes using EHR data.

XL-MIMO technology improves network service quality in crowded environments.

Study shows benefits of combining NOMA with double RIS for better wireless signals.

Machine learning improves signal detection and channel estimation in OFDM systems.

Methods to accurately calculate averages and variances despite missing data points.

Investigating how family history influences health risk predictions using advanced methods.

A look at the benefits of VC-wTGS for complex data analysis.

Introducing the PX-ECME algorithm for improved logistic regression performance.

An exploration of the Metropolis-Adjusted Langevin Algorithm's performance in sampling.

A comparison of HMC and MALA for efficient sampling from complex distributions.

A new method to analyze time series data from a frequency perspective.

Introducing a method for better estimation of rare event probabilities.

Exploring Bayesian inverse problems and their impact across multiple fields.

Learn how the hset package simplifies data collection and management in R.

Researchers introduce a method to analyze treatment timing impacts on hospital visits.

This article reviews pairwise ranking approaches and their effectiveness in various applications.

A new method to calculate SAGE values more efficiently by using causal structure learning.

Fiedler regularization improves neural network performance by addressing overfitting effectively.

A look at adaptive methods for identifying issues in IoT devices.

A look at the benefits of VC-wTGS for complex data analysis.

Strategies to improve model performance in imbalanced datasets.

OFTET combines traditional and machine learning methods for reliable time series predictions.

Researchers introduce a method to analyze treatment timing impacts on hospital visits.

A look at the benefits of VC-wTGS for complex data analysis.

This article reviews how historical data can estimate HIV treatment effectiveness.

A method for analyzing multidimensional poverty at the local level.

This article presents a method to efficiently compute Shapley effects using BART.

OFTET combines traditional and machine learning methods for reliable time series predictions.

New methods enhance confidence intervals for the generalized Lorenz curve.

Methods to accurately calculate averages and variances despite missing data points.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

This article discusses a method to improve dolphin population estimates using advanced techniques.

Explore a new method for analyzing treatment effects over time.

Researchers combine data and strategies for better NBA predictions.

Analyzing the accuracy of health data during the COVID-19 pandemic.

A look into the importance and challenges of ECMWF reanalysis data.

New methods enhance confidence intervals for the generalized Lorenz curve.

Examining linear regression methods amid high-dimensional data and correlated noise.

Methods to accurately calculate averages and variances despite missing data points.

Learn how proxy variables help uncover hidden causal relationships in research.

A look into the Hierarchical Indian Buffet Process and its applications.

A new framework for better statistical inference in research and analysis.

A look into the Cox process and its applications in modeling event data.