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Titlebook: Hidden Markov Models; Estimation and Contr Robert J. Elliott,John B. Moore,Lakhdar Aggoun Book 1995 Springer-Verlag New York 1995 93E11, 93

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Robert J. Elliott,John B. Moore,Lakhdar AggounIncludes supplementary material:
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978-1-4419-2841-2Springer-Verlag New York 1995
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Hidden Markov Models978-0-387-84854-9Series ISSN 0172-4568 Series E-ISSN 2197-439X
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To obtain a full understanding of the anti-money laundering process, you need to understand how the criminals manipulate the system for their benefit. This chapter covers some of the tried and true, and most common methods that criminals will use to launder money.
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The book explores the ideas and activities of the anti-parliamentarians in Britain between 1917 and 1945, from the ex-suffragettes based around Sylvia Pankhurst‘s Workers‘ Dreadnought newspaper, to the Clydeside-based Anti-Parliamentary Communist Federation and its offshoots.
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Discrete-Range States and ObservationsIn this chapter a finite-state space, continuous-time Markov chain hidden in another Markov chain is considered. The state space is taken to be the set of unit vectors .={.}, .=(0,0,…,1,…,0)′ of ℝ..
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Risk-Sensitive Control of HMMem was of the . type. In this chapter we will solve a . stochastic control problem. It turns out, surprisingly, that the appropriate information state is . an unnormalized conditional density; rather, the information state also depends on the cost function.
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