Robust estimation for general integer-valued time series models
type: Item
instance of: scholarly article
title: Robust estimation for general integer-valued time series models
zbMATH Open document ID: 1466.62388
author: Byungsoo Kim
author: Sangyeol Lee
published in: Annals of the Institute of Statistical Mathematics
publication date: 2021-05-25T00:00:00Z
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62G35
Mathematics Subject Classification ID: 62G32
Mathematics Subject Classification ID: 60F10
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 7350848
zbMATH Keywords: robust estimation
zbMATH Keywords: minimum density power divergence estimator
zbMATH Keywords: general integer-valued time series
zbMATH Keywords: one-parameter exponential family
zbMATH Keywords: INGARCH models
MaRDI profile type: Publication
full work available at URL: s10463-019-00728-0
OpenAlex ID: W2964345854
cites work: Poisson QMLE of count time series models
cites work: FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
cites work: Robust and efficient estimation by minimising a density power divergence
cites work: The Lindeberg-Levy Theorem for Martingales
cites work: QUASI-LIKELIHOOD INFERENCE FOR NEGATIVE BINOMIAL TIME SERIES MODELS
cites work: Conditional maximum likelihood estimation for a class of observation-driven time series models for count data
cites work: Theory and inference for a class of nonlinear models with application to time series of counts
cites work: A negative binomial model for time series of counts
cites work: Testing Parameter Change in General Integer‐Valued Time Series
cites work: Inference and testing for structural change in general Poisson autoregressive models
cites work: Q4917419
cites work: Integer-Valued GARCH Process
cites work: Poisson Autoregression
cites work: Retrospective Bayesian outlier detection in INGARCH series
cites work: Robust estimation in the normal mixture model
cites work: Minimum density power divergence estimator for Poisson autoregressive models
cites work: Parameter Change Test for Poisson Autoregressive Models
cites work: Robust estimation for the covariance matrix of multivariate time series based on normal mixtures
cites work: Robust estimation for zero-inflated poisson autoregressive models based on density power divergence
cites work: Parameter change test for zero-inflated generalized Poisson autoregressive models
cites work: Minimum density power divergence estimator for GARCH models
cites work: CUSUM test for general nonlinear integer-valued GARCH models: comparison study
cites work: Q4219536
cites work: Robust Blind Source Separation by Beta Divergence
cites work: Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
cites work: Dual divergence estimators and tests: robustness results
cites work: A data-based method for selecting tuning parameters in minimum distance estimators
cites work: Choosing a robustness tuning parameter
cites work: Thinning operations for modeling time series of counts -- a survey
cites work: Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models
cites work: Zero-inflated Poisson and negative binomial integer-valued GARCH models
Wikidata QID: Q127449561
DOI: 10.1007/S10463-019-00728-0
description: scientific article; zbMATH DE number 7350848