Discrete and continuous stochastic models for neuromorphological data

Pearson,Yanthe Emaraina

dc.rights.license	CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributor	Drew, Donald A. (Donald Allen), 1945-
dc.contributor	Castronovo, Emilio
dc.contributor	Isaacson, David
dc.contributor	Bennett, Kristin P.
dc.contributor	Ligon, Lee
dc.contributor	Lindsley, Tara
dc.contributor.author	Pearson,Yanthe Emaraina
dc.date.accessioned	2021-11-03T09:38:31Z
dc.date.available	2021-11-03T09:38:31Z
dc.date.created	2009-09-24T14:15:37Z
dc.date.issued	2009-12
dc.identifier.uri	https://hdl.handle.net/20.500.13015/2823
dc.description	December 2009
dc.description	School of Science
dc.language.iso	ENG
dc.publisher	Rensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartof	Rensselaer Theses and Dissertations Online Collection
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Mathematics
dc.title	Discrete and continuous stochastic models for neuromorphological data
dc.type	Electronic thesis
dc.type	Thesis
dc.digitool.pid	19752
dc.digitool.pid	19753
dc.digitool.pid	19755
dc.digitool.pid	19754
dc.digitool.pid	19756
dc.rights.holder	This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degree	PhD
dc.relation.department	Dept. of Mathematical Sciences

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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.

Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.