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Publication details

Verlag: Springer

Ort: Berlin

Jahr: 2009

Pages: 269-289

ISBN (Hardback): 9780387959214

Volle Referenz:

Ingmar Visser, "Hidden Markov models for individual time series", in: Dynamic process methodology in the social and developmental sciences, Berlin, Springer, 2009

Abstrakt

This chapter introduces hidden Markov models to study and characterize (individual) time series such as observed in psychological experiments of learning, repeated panel data, repeated observations comprising a developmental trajectory etc. Markov models form a broad and flexible class of models with many possible extensions, while at the same time allowing for relatively easy analysis and straightforward interpretation. Here we focus on hidden Markov models with a discrete underlying state space, and observations at discrete times; however, hidden Markov models are not limited to these situations and some pointers are provided to literature on possible extensions.

Publication details

Verlag: Springer

Ort: Berlin

Jahr: 2009

Pages: 269-289

ISBN (Hardback): 9780387959214

Volle Referenz:

Ingmar Visser, "Hidden Markov models for individual time series", in: Dynamic process methodology in the social and developmental sciences, Berlin, Springer, 2009