https://ideas.repec.org/p/pra/mprapa/38697.html
Large covariance estimation by thresholding principal orthogonal complements
Downloadable! This paper deals with estimation of high-dimensional covariance with a conditional sparsity structure, which is the composition of a low-rank...
covariance estimationlargethresholdingprincipalorthogonal
https://ideas.repec.org/a/cup/jfinqa/v24y1989i03p333-355_01.html
Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in...
Downloadable! This paper provides a simple method to account for heteroskedasticity and cross-sectional dependence in samples with large cross sections and...
covariance matrixcross sectionalconsistentestimation
https://www.ets.org/research/policy_research_reports/publications/report/1970/hqka.html
Estimation and Hypothesis-Testing for a Generalized Factor Analysis Based on Residual Covariance...
In a generalized factor model based on residual covariance matrices of prescribed structure, maximum likelihood estimates of the model parameters, and a...
https://openreview.net/forum?id=PpI7XvOXkF
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm |...
https://www.econstor.eu/handle/10419/214187
EconStor: Shrinkage estimation of large covariance matrices: Keep it simple, statistician?
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
keep it simplecovariance matriceseconstorshrinkageestimation
https://www.econstor.eu/handle/10419/200186
EconStor: The power of (non-)linear shrinking: A review and guide to covariance matrix estimation
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
https://arxiv.org/abs/2510.06815
[2510.06815] Inference in pseudo-observation-based regression using (biased) covariance estimation...
Abstract page for arXiv paper 2510.06815: Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
pseudo observation
https://ideas.repec.org/p/cte/wsrepe/10089.html
Improved estimation of the covariance matrix of stock returns with an application to portfolio...
Downloadable! This paper proposes to estimate the covariance matrix of stock returns by an optimally weighted average of two existing estimators. The sample...
https://arxiv.org/abs/2512.01070
[2512.01070] Covariance Estimation for Matrix-variate Data via Fixed-rank Core Covariance Geometry
Abstract page for arXiv paper 2512.01070: Covariance Estimation for Matrix-variate Data via Fixed-rank Core Covariance Geometry
https://ideas.repec.org/p/fip/fednsr/39.html
Consistent covariance matrix estimation in probit models with autocorrelated errors
Downloadable! Some recent time-series applications use probit models to measure the forecasting power of a set of variables. Correct inferences about the...
covariance matrixconsistentestimationprobitmodels
https://openreview.net/forum?id=Ins2PbraMw
Online Covariance Matrix Estimation in Stochastic Inexact Newton Methods | OpenReview
We aim to study the practical statistical inference of the online second-order Newton method for general unconstrained stochastic optimization problems under...
covariance matrixonlineestimationstochasticnewton
https://www.econstor.eu/handle/10419/214188
EconStor: The power of (non-)linear shrinking: A review and guide to covariance matrix estimation
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
https://ideas.repec.org/a/spr/psycho/v45y1980i3p309-324.html
Estimation of covariance structure models with parameters subject to functional restraints
Downloadable (with restrictions)! No abstract is available for this item.
structure modelssubject toestimationcovariance