Emanuele Gramuglia

Doctoral Research Fellow - Statistics and Data Science
Image of Emanuele Gramuglia
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Room 822
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Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postal address Postboks 1053 Blindern 0316 OSLO

I challenge myself in developing dynamic temporal models for classification and prediction purposes. I am fond of the Bayesian inferential approach which I find fascinating for its powerful flexibility.  I study new efficient method for distribution approximation in cases where the space to be explored is a union of different sub-spaces having different dimensions. I am member of the centre for research-based innovation Big insight.

Tags: Statistics, Sensor based monitoring

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Published Sep. 2, 2016 10:25 AM - Last modified Nov. 7, 2018 1:54 PM

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