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projetos:ehlers:dlm [2007/09/20 11:34]
ehlers
projetos:ehlers:dlm [2009/03/19 15:16] (atual)
ehlers
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 ===== Bayesian Dynamic Models - Ricardo Ehlers ===== ===== Bayesian Dynamic Models - Ricardo Ehlers =====
  
-==== Abstract ​====+=== Abstract ===
  
 Dynamic models also known as state space models are formulated to allow for changes in the parameter values along time and have been used to the analysis and forecast of time series and space-time processes. A dynamic model may be specified by the following pair of equations, Dynamic models also known as state space models are formulated to allow for changes in the parameter values along time and have been used to the analysis and forecast of time series and space-time processes. A dynamic model may be specified by the following pair of equations,
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 In this project, the main concepts associated to dynamic modelling will be studied and applied to real time series data.  The R package [[http://​cran-r.c3sl.ufpr.br/​src/​contrib/​Descriptions/​dlm.html|dlm]] estimates several models in this class. In this project, the main concepts associated to dynamic modelling will be studied and applied to real time series data.  The R package [[http://​cran-r.c3sl.ufpr.br/​src/​contrib/​Descriptions/​dlm.html|dlm]] estimates several models in this class.
  
 +=== Participants ===
 +  - [[pessoais:​ehlers|Ricardo Ehlers]]
 +  - Helio Migon
  
-==== Participants ==== +=== Some references ===
-  - [[pessoais:​ehlers|Ricardo Sandes Ehlers]], UFPR +
-  - [[pessoais:​lledo|Luiz Ledo Mota Melo Jr]], UFRJ +
-  - Iranei Claudio, UFPR +
- +
- +
-==== To Do List ==== +
-  - Write and test R functions to estimate normal DLM. +
-  - Intervention and monitoring forecasting errors. +
-  - Compare results in package dlm with the above functions. +
-  - Write stochastic volatility model in DLM form. +
- +
-==== Some references ​====+
   - Migon, H. S., Gamerman, D., Lopes, H. F. and Ferreira, M. A. R. (2005), Bayesian Dynamic Models, In Handbook of Statistics, Volume 25: Bayesian Thinking, Modeling and Computation,​ pp. 553-588, (Editors Dey, D. and Rao, C.R.), Elsevier, Amsterdam.   - Migon, H. S., Gamerman, D., Lopes, H. F. and Ferreira, M. A. R. (2005), Bayesian Dynamic Models, In Handbook of Statistics, Volume 25: Bayesian Thinking, Modeling and Computation,​ pp. 553-588, (Editors Dey, D. and Rao, C.R.), Elsevier, Amsterdam.
   - Giovanni Petris (2006). dlm: an R package for Bayesian analysis of Dynamic Linear Models.   - Giovanni Petris (2006). dlm: an R package for Bayesian analysis of Dynamic Linear Models.

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