Statistics

A new method reveals insights into human gestures and their relationship with speech.

A look at methods to assess model predictions on unseen data.

This research addresses the challenges of contaminant RNA affecting data accuracy in experiments.

An overview of voting systems that promote democracy and fair representation.

Discover a simple method for efficient data value selection.

Balancing medical data analysis and patient privacy using synthetic data techniques.

This study uses LiDAR to improve forest biomass estimates in Alaska's Tanana Inventory Unit.

A novel approach improves detection of faint galaxies linked to dark matter.

Discover a simple method for efficient data value selection.

Introducing mGHS for effective network analysis across diverse datasets.

Research reveals a new approach to analyze health outcomes over time.

This article examines the trade-offs in factorized approximations used in variational inference.

SNAMs offer clearer insights into machine learning predictions.

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.

Simplifying complex problems through surrogate models aids in quick estimations.

New insights into improving the performance of graph neural networks.

Learn about piecewise continuous functions and their role in online learning.

This article discusses Robust Markov Decision Processes and sample complexity in uncertain environments.

A look at methods to assess model predictions on unseen data.

A new method improves accuracy in particle measurement and uncertainty management.

A method to integrate expert insights into models using observable outcomes.

A new method improves estimation in causal relationships with less restrictive assumptions.

New approach enhances understanding of causal relationships in research.

This article examines how Bayesian modeling aids in studying spatial data changes.

A look at methods to assess model predictions on unseen data.

A new method to optimize sampling designs under real-world constraints.

A look at causal inference methods for analyzing business performance.

A new method improves estimation in causal relationships with less restrictive assumptions.

Discover a simple method for efficient data value selection.

Exploring DNN performance in nonparametric interaction models as dimensions increase.

Discover a simple method for efficient data value selection.

New sampling methods improve efficiency and accuracy in Bayesian Neural Networks.

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.

Simplifying complex problems through surrogate models aids in quick estimations.

New insights into improving the performance of graph neural networks.

A look into IID Gaussian processes and their significance in analyzing time-dependent data.

A new method improves estimation in causal relationships with less restrictive assumptions.

Exploring DNN performance in nonparametric interaction models as dimensions increase.

Learn how trimmed means improve estimates in data analysis.

New methods aim to improve analysis of high-dimensional data using statistical techniques.

New methods improve predictions using Kernel Ridge Regression in education and other fields.