Steenhuis, D (2017) On the Comparison of Changepoint Models in Network Reconstruction with Themselves and their Bayesian Counterparts. Master's Thesis / Essay, Mathematics.
|
Text
Dennis_Steenhuis_2017_WM.pdf - Published Version Download (3MB) | Preview |
|
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: | https://fse.studenttheses.ub.rug.nl/id/eprint/14913 |
Actions (login required)
View Item |