Statistics

Puerto Rico faces a steep decline in birth rates and potential population loss.

Combining GANs and VAEs for better image generation.

A study on predicting and managing wildfire spread in Australia.

This study examines deep learning models for forecasting visitor numbers in tourism.

Introducing innovative residuals for better evaluation of discrete outcome regression models.

A new technique enhances the way scientists compare marine data sets.

Switzerland experienced a significant rise in heat-related deaths during summer 2022.

Using statistical methods to predict consumption in under-sampled areas of Ghana.

New models generate realistic data across various fields and applications.

Combining GANs and VAEs for better image generation.

This article discusses methods for improving economic forecasts through predictive synthesis.

A look into gradient descent methods and their significance in machine learning.

Learn how to create effective confidence intervals for proportion differences in small samples.

A guide to applying Optimal Scaling with GLMs for complex data analysis.

COBRA enhances survival analysis through improved variable selection and model integration.

A new approach enhances data analysis by improving missing value estimates.

This document discusses methods for analyzing complex time series data with multiple variables.

A new framework improves video prediction through a human-like understanding of scenes.

Combining GANs and VAEs for better image generation.

A study on predicting and managing wildfire spread in Australia.

Exploring machine learning's role in analyzing topological properties of photonic lattices.

A look at using spectral methods for better parameter estimation in structured data.

A look into the importance of network analysis across various fields.

Exploring how distribution regression aids in various fields through kernel methods.

This article examines methods for parameter estimation in new copula families for improved modeling.

Combining GANs and VAEs for better image generation.

Introducing a flexible model for analyzing complex spherical time series data.

New technique combines loosely related data for better research insights.

A look into the importance of network analysis across various fields.

A look into donut RD designs and their implications in research.

Introducing innovative residuals for better evaluation of discrete outcome regression models.

This article discusses methods for analyzing treatment effectiveness in clinical trials.

A look at Bayesian and Frequentist methods in statistics.

New spectral approach enhances multivariate Matérn models for spatial data analysis.

Explore different methods in causal modeling and their significance for research.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article presents a new method for selecting radius in complex data analysis.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

PORTSEA advances extreme value statistics, influencing various fields and education.

This article examines methods for parameter estimation in new copula families for improved modeling.

An overview of Gibbs-type priors and their applications in various fields.

A look at using spectral methods for better parameter estimation in structured data.

A look into the importance of network analysis across various fields.

Improved methods for estimating covariance enhance data analysis across various fields.

A study on effective methods for analyzing bipartite networks through U-statistics.

Exploring how distribution regression aids in various fields through kernel methods.

A look at two methods for high-dimensional regression analysis.