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Titlebook: Applied Stochastic Modeling; Liliana Blanco-Castañeda,Viswanathan Arunachalam Book 2023 The Editor(s) (if applicable) and The Author(s), u

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Discrete-Time Markov Chain,hains are sequences of random variables in which the variable’s future value depends on the variable’s present value but is independent of the variable’s history. This chapter introduces the concepts and results related to Markov chains with discrete time parameters. We also briefly discuss the reversible Markov chains at the end of the chapter.
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Poisson Processes and Its Extensions, a bank, the number of earthquakes that occur in a certain region of the planet, calls that enter a central telephone, etc., are presented randomly and at a constant rate. In this chapter, we propose to develop some properties of this process and present some generalizations.
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1938-1743 g the material in an easily accessible manner that allows readers to learn how to address and solve problems of a stochastic nature. .978-3-031-31284-7978-3-031-31282-3Series ISSN 1938-1743 Series E-ISSN 1938-1751
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Branching Processes, of one another. In this chapter, we begin with studying the Galton-Watson process, the simplest branching process. Then, a generalization of this model is presented, allowing individuals to have offspring of different types. Subsequently introduces the continuous-time branching process and studies
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Book 2006ssed with exclusively high rates due to the advent of highly efficient experimental technologies that provided for high throughput genomic sequencing; of functional genomics technologies allowing investigation of expression dynamics of large groups of genes using expression DNA chips; of proteomics
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Book 2015pics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and healthcare applications.
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