title: IDENTIFICATION OF TEMPORAL DYNAMICS IN BIOLOGICAL PROCESSES
creator: Bazzazzadeh, Navid
subject: ddc-004
subject: 004 Data processing Computer science
subject: ddc-500
subject: 500 Natural sciences and mathematics
description: The behavior and dynamics of complex systems are the focus of many research fields. The complexity of such systems comes not only from the number of their  elements, but also from the unavoidable emergence of new properties of the system,  which are not just a simple summation of the properties of its elements. The behavior  of dynamic complex systems relates to a number of well developed models, the  majority of which do not incorporate the modularity and the evolutionary dynamics  of a system simultaneously. In this work, we deploy a Bayesian model that addresses  this issue. Our model has been developed within the Random Finite Set Theory's  framework. We introduced the stochastic evolution diagram as a novel mathematical  tool to describe the evolutionary dynamics of complex modular systems. It has been  shown how it could be used in real world applications. We have extended the idea  of Bayesian network for non-stationary dynamic systems by defining a new concept  "labeled-edge Bayesian network" and providing a Bayesian Dirichlet (BD) metric as  its score function.
date: 2014
type: Dissertation
type: info:eu-repo/semantics/doctoralThesis
type: NonPeerReviewed
format: application/pdf
identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/17535/1/NavidThesis%2003022014.pdf
identifier: DOI:10.11588/heidok.00017535
identifier: urn:nbn:de:bsz:16-heidok-175351
identifier:   Bazzazzadeh, Navid  (2014) IDENTIFICATION OF TEMPORAL DYNAMICS IN BIOLOGICAL PROCESSES.  [Dissertation]     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/17535/
rights: info:eu-repo/semantics/openAccess
rights: http://archiv.ub.uni-heidelberg.de/volltextserver/help/license_urhg.html
language: eng