Titlebook: Inference for Diffusion Processes; With Applications in Christiane Fuchs Book 2013 Springer-Verlag Berlin Heidelberg 2013 Bayesian inferenc

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Book 2013y, and the according statistical inference is considered almost exclusively by theoreticians. This book explains both topics in an illustrative way which also addresses practitioners. It provides a complete overview of the current state of research and presents important, novel insights. The theory is demonstrated using real data applications..

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錯誤

Christiane FuchsExplicit instructions for diffusion modelling enable practitioners to apply this powerful class of processes.Both stochastic modelling and statistical inference for diffusion processes are comprehensi

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Application II: Analysis of Molecular BindingThe genetic material of humans and mammals is mainly contained in their cell nuclei, where most genome regulatory processes like DNA replication or transcription take place. These processes are controlled by complex protein networks.

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Introduction,nance and economics. Their mathematical theory, however, is challenging. This book explains how diffusion processes can be derived as models for real life phenomena and how model parameters can statistically be estimated. This chapter specifies the objectives and structure of this book.

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