This paper explores the estimation of a panel data model with cross-sectional interaction that is flexible both in its approach to specifying the network of ...
People also ask
What is a shrinkage estimator in statistics?
What is the theory of shrinkage?
What are shrinkage stats?
This work proposes a novel adaptive, single-pass sampling framework and unbiased estimators for higher-order network analysis of large streaming networks, ...
Sep 6, 2019 · This paper explores the estimation of a panel data model with cross-sectional interaction that is flexible both in its approach to specifying the network of ...
A shrinkage estimator is an estimator that, either explicitly or implicitly, incorporates the effects of shrinkage. In loose terms this means that a naive or ...
Oct 26, 2024 · In this study, a sparse inverse covariance matrix estimation framework for scRNAseq data is developed to capture direct functional interactions between genes.
We propose a novel adaptive, single-pass sampling framework and unbiased estimators for higher-order network analysis of large streaming networks. Our ...
Oct 26, 2024 · In this study, a sparse inverse covariance matrix estimation framework for scRNAseq data is developed to capture direct functional interactions between genes.
We present a shrinkage estimator for domains with hierarchically related random variables that smoothes MLEs towards other distributions found in the training ...
In this paper, we propose a method for minimum mean-squared error tracking of dynamic networks using a recursive shrinkage estimation framework that accounts ...
We propose a novel adaptive, single-pass sampling framework and unbiased estimators for higher-order network analysis of large streaming networks.