Statistics

New insights on the Omicron variant's impact on public health.

This article explores skill models in darts using empirical Bayes methods for player analysis.

A new statistical approach enhances estimates of under-five mortality rates across different age groups.

Learn how machine learning helps predict vehicle insurance claims and set fair premiums.

A framework that improves the accuracy of soft sensors in industrial applications.

Research reveals varying impacts of air pollution on different groups.

A new method improves treatment analysis in clinical trials.

Research on donation intervals enhances donor health and blood supply.

A new method improves data classification using covariance matrix clustering.

Learn about key concepts in optimization and sampling for effective decision-making.

Discover innovative methods for analyzing longitudinal data using the lqmix R package.

RESI streamlines the reporting of effect sizes in research studies.

A focused approach to improving variational inference accuracy.

This study highlights methods for analyzing brain signals using covariance matrices.

Examining structures in data through connected clustering methods.

RNNC offers efficient analysis of satellite data, improving accuracy and speed.

A new approach to achieve fairness in regression predictive models.

A new method improves machine learning for continuous functional data.

A new model improves adaptation to changing data with low computational cost.

This article discusses training deep transformers without skip connections and normalization layers.

Recent advances link brain functions to neural network models for better understanding.

Improving inference methods for complex systems using GPSSMs.

Examining Lipschitz continuity and its role in neural network performance and robustness.

Explore methods for reliable predictions in machine learning through confidence sets.

Research improves neural networks' ability to adapt to new data.

A tool for researchers to model changes in data over time.

New methods improve predictions for children's recovery after brain injuries using existing data.

A new statistical approach enhances estimates of under-five mortality rates across different age groups.

A new model improves how we study brain connectivity and its anatomical features.

Addressing measurement errors and treatment effects in predictive models.

This article discusses techniques to handle missing data for accurate analysis.

New methods enhance the design of experiments to understand causal relationships.

Examining the reliability and validation of influence functions in deep learning models.

A new algorithm enhances accuracy in forecasting disease outbreaks through detailed data generation.

A discussion on merging statistical approaches for better data analysis.

A fresh approach uncovers individual variations in program treatment effects.

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.

Explore methods for reliable predictions in machine learning through confidence sets.

A look into excess risk and empirical risk minimization with exp-concave losses.

A look at how Policy Mirror Descent enhances decision-making in MDPs.

A new algorithm for estimating transformations amid data errors.

A deep dive into model confidence sets and variable selection in statistics.

Techniques to identify important features in complex datasets are essential.

Integrating L2O transformations and graphical models improves parameter estimation in SEMs.

Lasso helps identify important data in complex datasets.