Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1432-1343
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models ; day:31 ; month:7 ; year:2021 ; pages:1-32
Journal of classification ; (31.7.2021), 1-32
- Creator
-
Soffritti, Gabriele
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00357-021-09390-9
- URN
-
urn:nbn:de:101:1-2021102821391436446678
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Soffritti, Gabriele
- SpringerLink (Online service)
Other Objects (12)
A weighted average limited information maximum likelihood estimator
A Generalized Poisson-Pseudo Maximum Likelihood Estimator
Maximum Likelihood Estimator for Choice-Based Samples
Bayes quadratic unbiased estimator of spatial covariance parameters
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
Optimization of the generalized covariance estimator in noncausal processes
A maximum likelihood estimator of neural network synaptic weights
A Targeted Maximum Likelihood Estimator for Two-Stage Designs
Generalized kernel regularized least squares estimator with parametric error covariance
An 'average information' restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices
Properties of the maximum likelihood estimator in spatial autoregressive models
On convergence of the maximum likelihood estimator in adaptive designs
A weighted average limited information maximum likelihood estimator
A Generalized Poisson-Pseudo Maximum Likelihood Estimator
Maximum Likelihood Estimator for Choice-Based Samples
Bayes quadratic unbiased estimator of spatial covariance parameters
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
Optimization of the generalized covariance estimator in noncausal processes
A maximum likelihood estimator of neural network synaptic weights
A Targeted Maximum Likelihood Estimator for Two-Stage Designs
Generalized kernel regularized least squares estimator with parametric error covariance
An 'average information' restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices
Properties of the maximum likelihood estimator in spatial autoregressive models
On convergence of the maximum likelihood estimator in adaptive designs
A weighted average limited information maximum likelihood estimator
A Generalized Poisson-Pseudo Maximum Likelihood Estimator
Maximum Likelihood Estimator for Choice-Based Samples
Bayes quadratic unbiased estimator of spatial covariance parameters
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
Optimization of the generalized covariance estimator in noncausal processes
A maximum likelihood estimator of neural network synaptic weights
A Targeted Maximum Likelihood Estimator for Two-Stage Designs
Generalized kernel regularized least squares estimator with parametric error covariance
An 'average information' restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices
Properties of the maximum likelihood estimator in spatial autoregressive models