Statistics

A look into immune cells in cancer and their interactions.

New method enhances milk quality predictions using spectral data.

A method to study how different variables affect each other over time.

Examining how socio-demographic factors influence health outcomes during epidemics.

Research reveals new insights into the interstellar medium through stellar light analysis.

A deep dive into the reliability of probabilistic weather forecasts.

This study analyzes how the pandemic affected various causes of death in Italy.

This study evaluates how statFEM handles errors in complex models.

Learn about Spike-and-Slab Priors and their applications in Bayesian linear regression.

New methods improve sampling efficiency and accuracy in statistics.

This study evaluates how statFEM handles errors in complex models.

A new tool to adjust survey data for better population representation.

A new method enhances Gaussian mixtures for better predictions in complex distributions.

Methods to improve estimation accuracy in large data sets.

A guide to Bayesian analysis techniques for spatial data forecasting.

A new method improves clustering results and insights through balanced groupings.

Evaluating models' ability to estimate uncertainty for improved predictions.

A new approach improves deep learning models for nonparametric regression using adversarial training.

Learn about Spike-and-Slab Priors and their applications in Bayesian linear regression.

Examining how machines learn to form complex outcomes from simple parts.

A look into how agents learn and improve in their environments.

A new method enhances how images match text inputs.

An overview of sufficient graphical models for analyzing high-dimensional data.

Learn how variational autoencoders enhance estimation in wireless communication.

Learn about Spike-and-Slab Priors and their applications in Bayesian linear regression.

This paper introduces methods for testing differences and detecting changes in non-Euclidean data.

The WQN algorithm enhances EEG signal clarity by effectively removing artifacts.

New method enhances milk quality predictions using spectral data.

New methods improve analysis of incomplete data in research.

Examining alternatives to the traditional two-trials rule for drug approval.

Learn how to manage tail risk using Conditional Value-at-Risk and Importance Sampling techniques.

This article presents a new method for predicting outcomes based on data factors.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

Learn how automation can simplify grading open-ended assignments for educators.

Overview of volatility models in geography, finance, and environmental science.

A look at Bayesian and Frequentist methods in statistics.

A new method for estimating diffusion coefficients using ridge estimators.

This article presents a new method for predicting outcomes based on data factors.

A look at innovative methods for studying complex data patterns.

Explore the basics and applications of two-layer neural networks.

Research introduces models for analyzing Gaussian distributions using the Wasserstein metric.

New methods enhance control of false discovery rate in binary data analysis.

A method to derive prior distributions from expert decision-making processes.

A novel method to improve estimations in high-dimensional data analysis using zero-estimators.