A unifying framework for Markov modeling in discrete space and discrete time
R Langeheine, F Van de Pol - Sociological Methods & …, 1990 - journals.sagepub.com
The focus of this article is on Markov models for the analysis of panel data and, more
specifically, on data obtained from repeated measurements of one categorical variable at …
specifically, on data obtained from repeated measurements of one categorical variable at …
[图书][B] Latent Markov models for longitudinal data
Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …
this book focuses on the formulation of latent Markov models and the practical use of these …
Latent markov chains
R Langeheine, F Van de Pol - Applied latent class analysis, 2002 - books.google.com
This chapter deals with longitudinal categorical data. Such data may be of two types, in
general. Type I refers to the situation in which a few subjects are measured repeatedly at …
general. Type I refers to the situation in which a few subjects are measured repeatedly at …
Mixed Markov latent class models
F Van de Pol, R Langeheine - Sociological methodology, 1990 - JSTOR
The process of change in a discrete characteristic is seldom the same for every respondent
in a panel survey. Mixed Markov latent class models describe cross-tables of consecutive …
in a panel survey. Mixed Markov latent class models describe cross-tables of consecutive …
Fitting multilevel vector autoregressive models in Stan, JAGS, and Mplus
The influx of intensive longitudinal data creates a pressing need for complex modeling tools
that help enrich our understanding of how individuals change over time. Multilevel vector …
that help enrich our understanding of how individuals change over time. Multilevel vector …
An overview of latent Markov models for longitudinal categorical data
We provide a comprehensive overview of latent Markov (LM) models for the analysis of
longitudinal categorical data. The main assumption behind these models is that the …
longitudinal categorical data. The main assumption behind these models is that the …
Estimation of nonstationary Markov chains from panel data
B Singer - Sociological Methodology, 1981 - JSTOR
With a few exceptions (see Tuma, 1976; Littman and Mode, 1977; Pickens and Soyka,
1980), most attempts to model individual choice behavior with Markov and related models …
1980), most attempts to model individual choice behavior with Markov and related models …
On the use of mixed Markov models for intensive longitudinal data
S de Haan-Rietdijk, P Kuppens… - Multivariate …, 2017 - Taylor & Francis
Markov modeling presents an attractive analytical framework for researchers who are
interested in state-switching processes occurring within a person, dyad, family, group, or …
interested in state-switching processes occurring within a person, dyad, family, group, or …
Multi-state models for panel data: the msm package for R
C Jackson - Journal of statistical software, 2011 - jstatsoft.org
Panel data are observations of a continuous-time process at arbitrary times, for example,
visits to a hospital to diagnose disease status. Multi-state models for such data are generally …
visits to a hospital to diagnose disease status. Multi-state models for such data are generally …
Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates
We provide a comprehensive overview of latent Markov (LM) models for the analysis of
longitudinal categorical data. We illustrate the general version of the LM model which …
longitudinal categorical data. We illustrate the general version of the LM model which …