Staff View
Essays on model specification tests and on binary response models

Descriptive

TitleInfo
Title
Essays on model specification tests and on binary response models
Name (type = personal)
NamePart (type = family)
Shen
NamePart (type = given)
Xiangjin
NamePart (type = date)
1976-
DisplayForm
Xiangjin Shen
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Tsurumi
NamePart (type = given)
Hiroki
DisplayForm
Hiroki Tsurumi
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Swanson
NamePart (type = given)
Norman Rasmus
DisplayForm
Norman Rasmus Swanson
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Landon-Lane
NamePart (type = given)
John
DisplayForm
John Landon-Lane
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Goldman
NamePart (type = given)
Elena
DisplayForm
Elena Goldman
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2013
DateOther (qualifier = exact); (type = degree)
2013-05
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
This dissertation consists of three essays evaluating model selection criteria in both sampling theory and Bayesian analysis. In chapter one, I compare the Bayesian model selection criteria (DIC, PDIC and MSEF) and the conditional Kolmogorov test for the spot asset pricing models (Vasicek and CIR models); MCMC and block Bootstrap methods are applied. In chapter two, I compare parametric and semiparametric methods for the binary response models. The comparison is made by model specifications, ROC area, and marginal effects. Monte Carlo simulation, quasi-maximum likelihood and kernel density methods are applied. In chapter three, I compare two bandwidths of the kernel density: the standard bandwidth and computationally optimized bandwidth. The computationally optimized bandwidth is obtained by using the graphic processing unit (GPU) that shortens the computational time.
Subject (authority = RUETD)
Topic
Economics
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_4566
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xi, 108 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Xiangjin Shen
Subject (authority = ETD-LCSH)
Topic
Bayesian statistical decision theory
Subject (authority = ETD-LCSH)
Topic
Binary system (Mathematics)
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068968
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3C827WK
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Shen
GivenName
Xiangjin
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2013-04-04 22:01:25
AssociatedEntity
Name
Xiangjin Shen
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2013-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2015-05-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 31st, 2015.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024