Robust distributed maximum likelihood estimation with dependent quantized data
type: Item
instance of: scholarly article
title: Robust distributed maximum likelihood estimation with dependent quantized data
zbMATH Open document ID: 1298.93321
author: Xiaojing Shen
author: Pramod K. Varshney
author: Yunmin Zhu
published in: Automatica
publication date: 2014-10-17T00:00:00Z
full work available at URL: https://arxiv.org/abs/1208.4161
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E12
zbMATH DE Number: 6357764
zbMATH Keywords: maximum likelihood estimation
zbMATH Keywords: distributed estimation
zbMATH Keywords: Fisher information matrix
zbMATH Keywords: wireless sensor networks
MaRDI profile type: Publication
OpenAlex ID: W2085512144
arXiv ID: 1208.4161
cites work: Input design in worst-case system identification with quantized measurements
cites work: Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
cites work: Hyperplane-Based Vector Quantization for Distributed Estimation in Wireless Sensor Networks
cites work: On identification of FIR systems having quantized output data
cites work: Statistical results for system identification based on quantized observations
cites work: A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data
cites work: Identification of ARMA models using intermittent and quantized output observations
cites work: An introduction to copulas. Properties and applications
cites work: Location Estimation of a Random Signal Source Based on Correlated Sensor Observations
cites work: Asymptotic Statistics
cites work: Distributed inference in wireless sensor networks
cites work: System identification with quantized observations
cites work: Approximate gradients, convergence and positive realness in recursive identification of a class of non‐linear systems
DOI: 10.1016/J.AUTOMATICA.2013.09.036
description: scientific article; zbMATH DE number 6357764