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University of Groningen Advanced non-homogeneous dynamic Bayesian network models for statistical analyses of time series data Shafiee Kamalabad, Mahdi

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University of Groningen

Advanced non-homogeneous dynamic Bayesian network models for statistical analyses of

time series data

Shafiee Kamalabad, Mahdi

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

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Publication date: 2019

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Shafiee Kamalabad, M. (2019). Advanced non-homogeneous dynamic Bayesian network models for statistical analyses of time series data. University of Groningen.

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Curriculum Vitae

Mahdi Shafiee Kamalabad was born on 21 September, 1982 in Tehran, Iran. In 2004, he obtained his bachelor’s degree in Statistics with the honor of top-ranked student from the University of Tabriz. He continued his studies with a master’s in Statistics at Allame Tabatabaie University (ATU). Mahdi wrote his master’s thesis under the supervision of Nader Nematollahi and Ahmad Parsian, and graduated as a top-ranked student from ATU in 2006. Afterwards, he received the Elite Certificate from the Ministry of Energy in Iran and was employed as a statistician and data scientist in the department of Strategic Management, Quality and Productivity in the Tehran Regional Electric Company (TREC) until 2014. During the course of his employment there he carried out statistical analyses and taught courses in Statistics at various universities. From 2015 to 2019, he was a PhD student at the University of Groningen where he wrote the present thesis under the supervision of Marco Grzegorczyk and Ernst Wit. His main research interests are Complex data Analysis, Network Inference, (Bayesian) Statistical Inference, Computational Statistics.

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