Understanding treatment impacts while accounting for network interference.
― 6 min read
Statistics - Statistics Theory
RSSThis study examines the relationship between scalar responses and functional covariates using advanced statistical methods.
― 5 min read
A method for building confidence regions in statistical equations for treatment effects.
― 6 min read
Learn about Approximate Message Passing and its role in data processing.
― 5 min read
Introducing an innovative method for analyzing treatment effects without the positivity condition.
― 6 min read
A method to test interactions between events over time using statistical models.
― 5 min read
New algorithms improve graph alignment speed and accuracy for correlated networks.
― 5 min read
Learn how resampling techniques improve the stability of statistical findings.
― 6 min read
This article discusses the challenges in model validation due to contaminated data.
― 6 min read
This article discusses methods for creating narrow prediction intervals in changing data conditions.
― 6 min read
A method addressing data errors in high-dimensional analysis.
― 6 min read
A look into using Distributed Tensor PCA for effective data analysis across locations.
― 6 min read
A look at PCR's role in analyzing high-dimensional datasets.
― 6 min read
A versatile tool for analyzing diverse data distributions in statistics.
― 5 min read
A method combining SGD and privacy techniques for effective data analysis.
― 6 min read
This article discusses a new framework for kernel testing in complex data analysis.
― 6 min read
A new method for analyzing spatio-temporal data across various fields.
― 6 min read
New methods improve brain image data analysis using manifold learning techniques.
― 5 min read
A new framework for creating reliable and accurate machine learning classifiers.
― 6 min read
Examining how algorithms can protect privacy while optimizing decisions in personalized medicine.
― 6 min read
This research tackles oversmoothing in graph convolutions to improve node classification accuracy.
― 4 min read
A look into new methods for improving matrix denoising amidst complex noise.
― 5 min read
A new approach to optimize Bayesian inference using generalized methods.
― 9 min read
Discover a novel approach to causal inference with cocycles.
― 6 min read
An exploration of algorithmic stability and testing limitations.
― 7 min read
Learn how lifted samplers improve sampling efficiency in MCMC methods.
― 7 min read
A look at methods for estimating extreme values in bivariate normal data.
― 6 min read
A look at how to handle errors in score-based generative models.
― 4 min read
A look at how calibration impacts model predictions and reliability.
― 9 min read
CASBAH improves the study of treatment effects using continuous post-treatment variables.
― 6 min read
A novel approach to measure dependencies in extreme data sets across various fields.
― 6 min read
Learn how element-free distributions streamline analysis and improve data organization.
― 6 min read
A new method enhances covariance estimation in Gaussian processes with adaptive thresholding.
― 6 min read
Tensors offer a new way to analyze complex data across various fields.
― 5 min read
Examining the influence of noise and structured signals in random matrix models.
― 6 min read
Learn how transfer learning aids in classifying dynamic data effectively.
― 6 min read
New algorithms for extracting signals from complex noise scenarios.
― 6 min read
This paper explores EM algorithm behavior in mixed linear regression for improved model accuracy.
― 5 min read
Exploring improvements in predicting point patterns using Point Process Learning.
― 7 min read
Explore methods for handling sparse high-dimensional data in regression analysis.
― 7 min read