Development and Application of Hidden Markov Models in the Bayesian Framework
This thesis develops new hidden Markov models and applies them to financial market and macroeconomic time series. Chapter 1 proposes a probabilistic model of the return distribution with rich and heterogeneous intra-regime dynamics. It focuses on the characteristics and dynamics of bear market ralli...
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Language: | en_ca |
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2011
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Online Access: | http://hdl.handle.net/1807/31944 |