Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Detection of the best model selection criterion in Gaussian graphical model
Date
2017-06-01
Author
Purutçuoğlu Gazi, Vilda
Metadata
Show full item record
Item Usage Stats
34
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/78777
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Detection of the distribution and parameter estimation for the departing connectivity in biological networks
Odunsi, Omolola Dorcas; Purutçuoğlu Gazi, Vilda; Department of Statistics (2014)
The connectivity density is one of the characteristics features in the topology of the network. This density describes the total number of the in-degree and out-degree of a node in a system. In a network, the in-degree or arriving connectivity represents the number of links coming to a target gene and the out-degree or departing connectivity stands for the number of links departing from the target gene. For biological networks, the density of the in-degree is represented by the exponential distribution and ...
Detection of component composition mismatch with axiomatic design
Toğay, Cengiz; SUNDAR, Gayathri; Doğru, Ali Hikmet (2006-04-02)
This paper presents a software component composition methodology based on Axiomatic Design theory and Design Structure Matrix. The methodology we propose helps overcome anomalies and functional problems such as deadlock. Our approach can be described in two steps. First, we decompose the system to detect coupled components by using the Design Structure Matrix. Secondly, we represent attribute and method dependencies of the coupled components to identify issues during software composition using Design Matrix...
Detection of a sinusoid by the MRAS approach and input design for parallel MRAS.
Tuncay, arzu; Department of Electrical Engineering (1985)
Detection of Unreliable measurements in long term time series via data mining techniques case in Turkish climate data
Yazıcı, Ceyda; Purutçuoğlu Gazi, Vilda; Yozgatlıgil, Ceylan; İyigün, Cem; Batmaz, İnci (2013-06-28)
Detection of outliers using Fouriertransform
Akkuş, Ekin Can; Purutçuoğlu Gazi, Vilda; Ağraz, Melih (null; 2017-12-06)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
V. Purutçuoğlu Gazi, “Detection of the best model selection criterion in Gaussian graphical model,” 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/78777.