Examining how random sets and belief functions affect decision-making in various fields.
― 5 min read
Statistics - Statistics Theory
RSSResearch reveals insights on data with many features and interdependencies.
― 6 min read
Examining sample complexity in stochastic programming with heavy-tailed distributions.
― 7 min read
This method simplifies log-concave density estimation using independent components.
― 5 min read
Examining the complexities and strategies for neural network learning in various data types.
― 6 min read
A look into spectral algorithms and their role in machine learning predictions.
― 5 min read
This paper examines error bounds in hierarchical Bayesian models for high-dimensional parameters.
― 7 min read
This paper examines AMP's role in high-dimensional statistics, focusing on sparse and robust regression.
― 5 min read
Innovative methods for estimating covariance matrices while protecting personal privacy.
― 5 min read
Understanding methods for estimating parameters in diffusion processes across various fields.
― 5 min read
Learn methods to test if missing data is random using covariance matrices.
― 6 min read
A new approach improves the analysis of causal effects with multiple interacting mediators.
― 5 min read
A look into the complexities of species networks and gene transfer.
― 5 min read
Exploring how regular exercise impacts hospital visits for COPD patients.
― 5 min read
A look at how these models analyze complex data structures across various fields.
― 5 min read
A new method enhances treatment effect analysis in small samples.
― 7 min read
A look into the essential theory behind deep learning models.
― 5 min read
Learn how nonparametric regression can adapt to constraints for better predictions.
― 4 min read
New methods improve signal separation from mixed sources, tackling noise challenges effectively.
― 6 min read
This study presents improved methods for estimating Tsallis entropy across independent exponential populations.
― 5 min read
Methods to tackle challenges in statistical analyses with dependent data.
― 8 min read
A new approach to assess machine learning models without labeled data.
― 6 min read
This article discusses using aggregate data in machine learning while protecting privacy.
― 7 min read
A new method enhances spatial data analysis efficiency and accuracy.
― 6 min read
A study on the effects of noise in signal analysis and eigenvalue behavior.
― 7 min read
A new approach to tackle covariate shift in machine learning models.
― 8 min read
Learn how Hawkes processes model interconnected events in various fields.
― 4 min read
Learn how causal graphs reveal dependencies between variables.
― 6 min read
This article examines how to determine correlations between random vectors using statistical methods.
― 5 min read
A modular approach to simplifying complex statistical estimation processes.
― 6 min read
A novel model combines functional and high-dimensional data for improved analysis.
― 6 min read
A new method improves regression analysis in functional data using k-NN.
― 5 min read
Exploring methods to safeguard individual data in an information-driven world.
― 5 min read
A guide to understanding PACF for time series data with changing behavior.
― 6 min read
A practical approach to improve financial risk estimates using SMLE.
― 6 min read
Introducing LiNGAM-MMI, a method that improves identification of causal relationships.
― 7 min read
Causal modeling helps clarify cause and effect relationships in various fields.
― 5 min read
A look at how stratified randomization improves research accuracy.
― 6 min read
New framework tackles learning quantum states without i.i.d. restrictions.
― 4 min read
Explore generalized fiducial inference, a method for estimating unknown parameters from data.
― 6 min read