On localization of source by hidden Gaussian processes with small noise
type: Item
instance of: scholarly article
title: On localization of source by hidden Gaussian processes with small noise
zbMATH Open document ID: 1469.62326
published in: Annals of the Institute of Statistical Mathematics
publication date: 2021-07-28T00:00:00Z
Mathematics Subject Classification ID: 62M05
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 60H40
zbMATH DE Number: 7375770
zbMATH Keywords: partially observed linear system
zbMATH Keywords: parameter estimation
zbMATH Keywords: hidden process
zbMATH Keywords: small noise
zbMATH Keywords: MLE
author: Yu. A. Kutoyants
MaRDI profile type: Publication
full work available at URL: s10463-020-00763-2
OpenAlex ID: W3084388714
cites work: Q5206836
cites work: Linear stochastic systems with constant coefficients. A statistical approach
cites work: Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models
cites work: Inference in hidden Markov models.
cites work: Poisson source localization on the plane: the smooth case
cites work: Poisson source localization on the plane: cusp case
cites work: Maximum likelihood estimator for hidden Markov models in continuous time
cites work: Finite-dimensional models for hidden Markov chains
cites work: Hidden Markov processes
cites work: Poisson source localization on the plane: change-point case
cites work: Q3920437
cites work: Parameter estimation in linear filtering
cites work: On parameter estimation of hidden telegraph process
cites work: Q3200418
cites work: Q3330343
cites work: Q4841576
cites work: On parameter estimation of hidden ergodic Ornstein-Uhlenbeck process
cites work: On parameter estimation of the hidden Ornstein-Uhlenbeck process
cites work: Q4522393
cites work: GPS Stochastic Modelling
cites work: Quadratic extended Kalman filter approach for GPS/INS integration
DOI: 10.1007/S10463-020-00763-2
description: scientific article; zbMATH DE number 7375770