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Identifiability and Regression Analysis of Biological Systems Models
Statistical and Mathematical Foundations and R Scripts
von Paola Lecca
Verlag: Springer International Publishing
Reihe: SpringerBriefs in Statistics
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ISBN: 978-3-030-41255-5
Auflage: 1st ed. 2020
Erschienen am 05.03.2020
Sprache: Englisch
Umfang: 82 Seiten

Preis: 53,49 €

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Biografische Anmerkung
Inhaltsverzeichnis

Paola Lecca is an Assistant Professor at the Faculty of Computer Science, Free University of Bolzano, where she conducts theoretical and applied research on graph theory, dynamical network modelling and analysis, statistical inference, and parallel computing. Prof. Lecca is a member of the Smart Data Factory, the Laboratory for Technology Transfer, and the Laboratory for Advanced Computing and Systems at the Free University of Bolzano, which focus on transforming theoretical studies on data management, mathematical analysis, algebra and statistics into technologies for various fields of application.

Moreover, Prof. Lecca contributes to the development of high-performance software for complex dynamical network simulation and knowledge inference as a Senior Member of the Association for Computing Machinery, New York, USA. She also serves on the Advisory Board of the AIR Institute, Spain, which actively works to promote innovation in computer science, artificial intelligence and information and communication technologies. The author of over one hundred publications including books and journal and conference papers on computational biology, bioinformatics, and biophysics, she also serves as an editor and reviewer for high Impact Factor journals in these areas.



1 Complex systems and sets of data.- 2 Dynamic models.- 3 Model identifiability.- 4 Relationships between phenomena.- 5 Codes.


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