Clustering discrete-valued time series
type: Item
instance of: scholarly article
title: Clustering discrete-valued time series
author: Tyler Roick
author: Dimitris Karlis
author: Paul D. McNicholas
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2021-06-28T00:00:00Z
full work available at URL: https://arxiv.org/abs/1901.09249
full work available at URL: http://hdl.handle.net/11375/22275
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 7363871
zbMATH Keywords: finite mixture models
zbMATH Keywords: model-based clustering
zbMATH Keywords: discrete-valued time series
zbMATH Keywords: autoregressive model
describes a project that uses: R
MaRDI profile type: Publication
OpenAlex ID: W3027056361
cites work: Clustering time series by linear dependency
cites work: Mixed INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in longitudinal count data
cites work: The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
cites work: A periodogram-based metric for time series classification
cites work: Q4139463
cites work: Panel data analysis: a survey on model-based clustering of time series
cites work: Q3634327
cites work: Time Series Clustering and Classification
cites work: Mixture Model-Based Classification
cites work: Model-based clustering
cites work: Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
cites work: Model-based clustering of categorical time series
cites work: Estimating the dimension of a model
cites work: Discrete analogues of self-decomposability and stability
cites work: An Introduction to Discrete‐Valued Time Series
cites work: Thinning operations for modeling time series of counts -- a survey
cites work: Time series clustering with ARMA mixtures
DOI: 10.1007/S11634-020-00395-7
description: scientific article; zbMATH DE number 7363871