Statistics

An in-depth look at how coaches decide on fourth down plays.

Distribution shifts impact the ability to replicate study results across different populations.

Corruption hinders growth and access to essential services globally.

New neural network techniques enhance analysis of interstellar medium models for star and planet formation.

A new method improves estimates by using negative controls to combat hidden biases.

This work discusses synthetic data generation using differential privacy for economic studies.

Research highlights the importance of PSA monitoring for salvage therapy in prostate cancer.

Investigating neural connections through bi-clustering methods.

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

A new model enhances gene interaction studies using auxiliary variables.

Learn how to avoid biases in model selection.

A new method enhances efficiency in complex data analysis using weighted Riesz particles.

Exploring new methods for reliable heart disease data analysis.

A study on enhancing drug prediction models for better cancer therapies.

MELAGE helps doctors and researchers analyze brain images for better diagnosis.

This study enhances spectroscopy methods for better dairy product analysis.

A new method enhances training efficiency for Deep Operator Networks.

A method to break down complex data into simpler parts.

Ensemble Score Filter offers a fresh approach to complex filtering problems.

Exploring the connection between residual networks and neural ordinary differential equations.

Examining the behavior and properties of wide layers in deep neural networks.

A new method for effectively representing and manipulating sparse graphs.

A new method enhances deep learning models on FPGAs for faster processing.

Discover how robust machine learning models handle varying data sources for better predictions.

Distribution shifts impact the ability to replicate study results across different populations.

A look at better methods for fitting data with uncertainties in both measurements.

Explore how Markov models analyze student performance and behavior over time.

This article discusses issues and new methods in EHR data analysis.

Discover how non-asymptotic methods improve statistical analysis in high-dimensional data.

New bootstrap methods improve testing of population mean vectors in high-dimensional data.

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

Corruption hinders growth and access to essential services globally.

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 how gamification boosts student engagement in flipped classrooms.

Discover how non-asymptotic methods improve statistical analysis in high-dimensional data.

New bootstrap methods improve testing of population mean vectors in high-dimensional data.

Selective inference offers better accuracy for hypothesis testing post-clustering.

Researchers tackle challenges of incomplete data for accurate results.

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

Learn how Bayesian methods enhance prediction accuracy in uncertain outcomes.

A study on identifying the best option while ensuring data privacy.

Learn how robust tensor decomposition improves data analysis amidst noise and outliers.