State Space Models: a Brief History and Some Recent De- Velopments

نویسنده

  • Ludwig Fahrmeir
چکیده

State space models, also termed dynamic models, relate observations yt; t = 1; 2; :::, on a response variable Y to unobserved "states" or "parameters" t, t=1,2,..., by an observation model for yt given t. The states are assumed to follow a Markovian transition model. Gaussian linear state space models are de ned by a linear observation model and a linear Markovian transition equation yt = z 0 t t + t; t = 1; 2; ::: (1)

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تاریخ انتشار 1999