Statistics

This article explores the use of RL to tailor health interventions.

A look into the Cox process and its applications in modeling event data.

GLASS improves communication for ALS patients using brain signals.

This study examines how urban or rural living affects income from early adulthood.

A fresh approach improves signal detection in noisy environments with limited data.

This article discusses a method to improve dolphin population estimates using advanced techniques.

New protocols enhance data transfer in smart grids for efficient energy management.

A new approach for efficient stochastic optimization in various fields.

A new method to analyze time series data from a frequency perspective.

Introducing a method for better estimation of rare event probabilities.

Exploring Bayesian inverse problems and their impact across multiple fields.

Learn how the hset package simplifies data collection and management in R.

A new method improves selection of data columns for better analysis.

New methods enhance speed and accuracy in analyzing health-related datasets.

Explore how depth functions enhance statistical analysis and understanding of data distributions.

A new method enhances the accuracy of two-sample testing amidst hidden differences.

This article explores the use of RL to tailor health interventions.

A novel approach improves predictions of tropical cyclone intensity using causal feature selection.

A new method enhances the efficiency of Gaussian processes using B-spline functions.

A guide on applying Bayesian methods to analyze relationships in binary outcome data.

Techniques to identify meaningful signals hidden within noisy data.

A look at decision-making in uncertain environments through stochastic control.

A method to enhance variational inference performance and simplify optimization.

GLASS improves communication for ALS patients using brain signals.

A method for predicting specific outcomes using relevant past data.

A look at methods for effectively handling high-dimensional binary data.

This article explores the use of RL to tailor health interventions.

A new framework for better statistical inference in research and analysis.

New slicing-free methods improve data analysis for complex datasets.

A look at how simulations help estimate disease outbreak probabilities for better decision-making.

A guide on applying Bayesian methods to analyze relationships in binary outcome data.

A new method enhances testing for asset mispricing in finance.

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.

This article discusses a method to improve dolphin population estimates using advanced techniques.

Explore a new method for analyzing treatment effects over time.

Researchers combine data and strategies for better NBA predictions.

Analyzing the accuracy of health data during the COVID-19 pandemic.

Lockdowns led to higher deaths and costs in breast cancer treatment.

A look into the Hierarchical Indian Buffet Process and its applications.

A new framework for better statistical inference in research and analysis.

A look into the Cox process and its applications in modeling event data.

This article examines the behavior of one-pass SGD with growing dimensions.

This paper discusses efficient exploration methods in reinforcement learning without prior reward knowledge.

Exploring minimum divergence estimation for reliable statistical analysis.

Agents work together to detect signals amidst changing noise.

Techniques to compress vast radio telescope data while preserving key information.