Javascript must be enabled for the correct page display

On the Comparison of Changepoint Models in Network Reconstruction with Themselves and their Bayesian Counterparts

Steenhuis, D (2017) On the Comparison of Changepoint Models in Network Reconstruction with Themselves and their Bayesian Counterparts. Master's Thesis / Essay, Mathematics.

[img]
Preview
Text
Dennis_Steenhuis_2017_WM.pdf - Published Version

Download (3MB) | Preview
[img] Text
Toestemming.pdf - Other
Restricted to Backend only

Download (77kB)

Abstract

In this thesis we describe two different types of changepoint models, the Changepoint Model based on Segment Neighbourhood Search and the Hidden Markov Model. These models will be compared to each other and the Homogeneous Model in their Network Reconstruction Accuracy on some ar- tificial data. After this comparison, all three frequentistic methods will be compared to their Bayesian counterparts with use of the Yeast data.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Mathematics
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:26
Last Modified: 15 Feb 2018 08:26
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/14913

Actions (login required)

View Item View Item