Statistics

A study of forest biomass changes from 1990 to 2019 in New York.

This study reveals how socio-demographics impact regional relationships beyond geography.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

Team Jumbo-Visma revolutionizes energy predictions for riders using data models.

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.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

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.

An overview of neural networks, their structure, and how they learn from data.

This article discusses multilabel ranking and its learnability conditions in machine learning.

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.

This study reveals how socio-demographics impact regional relationships beyond geography.

N-mixture models enhance estimates of animal populations by addressing detection errors.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

Researchers introduce innovative ways to analyze income inequality using generalized Lorenz curves.

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.

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.

Researchers introduce innovative ways to analyze income inequality using generalized Lorenz curves.

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.