Probability Bracket Notation: Markov State Chain Projector, Hidden   Markov Models and Dynamic Bayesian Networks
  After a brief discussion of Markov Evolution Formula (MEF) expressed in Probability Bracket Notation (PBN), its close relation with the joint probability distribution (JPD) of Visible Markov Models (VMM) is demonstrated by introducing Markov State Chain Projector (MSCP). The state basis and the observed basis are defined in the Sequential Event Space (SES) of Hidden Markov Models (HMM). The JPD of HMM is derived by using basis transformation in SES. The Viterbi algorithm is revisited and applied to the famous Weather HMM example, whose node graph and inference results are displayed by using software package Elvira. In the end, the formulas of VMM, HMM and some factorial HMM (FHMM) are expressed in PBN as instances of dynamic Bayesian Networks (DBN). 
Xing M. Wang
cs.AI math.PR