skip to content
Latent variable modeling and applications to causality Preview this item
ClosePreview this item
Checking...

Latent variable modeling and applications to causality

Author: Maia Berkane
Publisher: New York : Springer, ©1997.
Series: Lecture notes in statistics (Springer-Verlag), v. 120.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
This volume gathers refereed papers presented at the 1994 UCLA conference on "Latent Variable Modeling and Application to Causality." The papers in this volume are representative of a wide variety of disciplines in which the use of latent varible models is rapidly growing. The volume is divided into two broad sections. The first section covers Path Modela and Causal Reasoning, and the chapters are innovations from  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
Latent variable modeling and applications to causality.
New York : Springer, ©1997
(DLC) 96040195
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Maia Berkane
ISBN: 9781461218425 146121842X
OCLC Number: 828774954
Notes: Papers from a conference held in 1994 at UCLA.
Description: 1 online resource (281 pages) : illustrations.
Contents: Causality and Path Models --
Embedding common factors in a path model --
Measurement, causation, and local independence in latent variable models --
On the identifiability of nonparametric structural models --
Estimating the causal effects of time varying endogeneous treatments --
Latent Variables --
Model as instruments with applications to moment structure analysis --
Bias and mean square error of the maximum likelihood estimators of the parameters of the intraclass correlation model --
Latent variable growth modeling with multilevel data --
High- dimensional full-information item factor analysis --
Dynamic factor models for the analysis of ordered categorical panel data --
Model fitting procedures for nonlinear factor analysis using the errors-in-variables parametrization --
Multivariate regression with errors in variables: Issues on asymptotic robustness --
Non-iterative fitting of the direct product model for multitrait-multimethod correlation matrices --
An EM algorithm for ML factor analysis with missing data --
Optimal conditionally unbiased equivariant factor score estimators.
Series Title: Lecture notes in statistics (Springer-Verlag), v. 120.
Responsibility: Maia Berkane, editor.
More information:

Abstract:

Collates papers from a 1994 UCLA conference on "Latent Variable Modeling and Application to Causality". The first part covers path modela and causal reasoning, while the second focuses on approaches  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/828774954> # Latent variable modeling and applications to causality
    a schema:Book, schema:MediaObject, schema:CreativeWork ;
    library:oclcnum "828774954" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/nyu> ;
    library:placeOfPublication <http://dbpedia.org/resource/New_York_City> ; # New York
    schema:about <http://dewey.info/class/519.535/e21/> ;
    schema:about <http://id.loc.gov/authorities/subjects/sh85074842> ; # Latent variables
    schema:about <http://id.worldcat.org/fast/992953> ; # Latent variables
    schema:about <http://experiment.worldcat.org/entity/work/data/536409#Topic/causation> ; # Causation
    schema:about <http://id.loc.gov/authorities/subjects/sh85074841> ; # Latent structure analysis
    schema:about <http://id.worldcat.org/fast/849829> ; # Causation
    schema:about <http://id.worldcat.org/fast/992952> ; # Latent structure analysis
    schema:bookFormat schema:EBook ;
    schema:contributor <http://viaf.org/viaf/70666560> ; # Maia Berkane
    schema:copyrightYear "1997" ;
    schema:datePublished "1997" ;
    schema:description "Causality and Path Models -- Embedding common factors in a path model -- Measurement, causation, and local independence in latent variable models -- On the identifiability of nonparametric structural models -- Estimating the causal effects of time varying endogeneous treatments -- Latent Variables -- Model as instruments with applications to moment structure analysis -- Bias and mean square error of the maximum likelihood estimators of the parameters of the intraclass correlation model -- Latent variable growth modeling with multilevel data -- High- dimensional full-information item factor analysis -- Dynamic factor models for the analysis of ordered categorical panel data -- Model fitting procedures for nonlinear factor analysis using the errors-in-variables parametrization -- Multivariate regression with errors in variables: Issues on asymptotic robustness -- Non-iterative fitting of the direct product model for multitrait-multimethod correlation matrices -- An EM algorithm for ML factor analysis with missing data -- Optimal conditionally unbiased equivariant factor score estimators."@en ;
    schema:description "This volume gathers refereed papers presented at the 1994 UCLA conference on "Latent Variable Modeling and Application to Causality." The papers in this volume are representative of a wide variety of disciplines in which the use of latent varible models is rapidly growing. The volume is divided into two broad sections. The first section covers Path Modela and Causal Reasoning, and the chapters are innovations from contributions in disciplines not traditionally associated with the behavorial sciences, such as computer science and public health. The second section encompasses new approaches to questions of model selection with an emphasis on factor analysis and time varying systems. All the chapters present new results not published elsewhere."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/536409> ;
    schema:genre "Electronic books"@en ;
    schema:genre "Conference publication"@en ;
    schema:genre "Conference papers and proceedings"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/536409#Series/lecture_notes_in_statistics_springer_verlag> ; # Lecture notes in statistics (Springer-Verlag) ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/536409#Series/lecture_notes_in_statistics> ; # Lecture notes in statistics ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/536409#CreativeWork/latent_variable_modeling_and_applications_to_causality> ;
    schema:name "Latent variable modeling and applications to causality"@en ;
    schema:productID "828774954" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/828774954#PublicationEvent/new_york_springer_1997> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/536409#Agent/springer> ; # Springer
    schema:url <http://dx.doi.org/10.1007/978-1-4612-1842-5> ;
    schema:url <http://link.springer.com/openurl?genre=book&isbn=978-0-387-94917-8> ;
    schema:workExample <http://worldcat.org/isbn/9781461218425> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/828774954> ;
    .


Related Entities

<http://dbpedia.org/resource/New_York_City> # New York
    a schema:Place ;
    schema:name "New York" ;
    .

<http://experiment.worldcat.org/entity/work/data/536409#Series/lecture_notes_in_statistics> # Lecture notes in statistics ;
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/828774954> ; # Latent variable modeling and applications to causality
    schema:name "Lecture notes in statistics ;" ;
    .

<http://experiment.worldcat.org/entity/work/data/536409#Series/lecture_notes_in_statistics_springer_verlag> # Lecture notes in statistics (Springer-Verlag) ;
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/828774954> ; # Latent variable modeling and applications to causality
    schema:name "Lecture notes in statistics (Springer-Verlag) ;" ;
    .

<http://id.loc.gov/authorities/subjects/sh85074841> # Latent structure analysis
    a schema:Intangible ;
    schema:name "Latent structure analysis"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh85074842> # Latent variables
    a schema:Intangible ;
    schema:name "Latent variables"@en ;
    .

<http://id.worldcat.org/fast/849829> # Causation
    a schema:Intangible ;
    schema:name "Causation"@en ;
    .

<http://id.worldcat.org/fast/992952> # Latent structure analysis
    a schema:Intangible ;
    schema:name "Latent structure analysis"@en ;
    .

<http://id.worldcat.org/fast/992953> # Latent variables
    a schema:Intangible ;
    schema:name "Latent variables"@en ;
    .

<http://viaf.org/viaf/70666560> # Maia Berkane
    a schema:Person ;
    schema:familyName "Berkane" ;
    schema:givenName "Maia" ;
    schema:name "Maia Berkane" ;
    .

<http://worldcat.org/entity/work/data/536409#CreativeWork/latent_variable_modeling_and_applications_to_causality>
    a schema:CreativeWork ;
    rdfs:label "Latent variable modeling and applications to causality." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/828774954> ; # Latent variable modeling and applications to causality
    .

<http://worldcat.org/isbn/9781461218425>
    a schema:ProductModel ;
    schema:isbn "146121842X" ;
    schema:isbn "9781461218425" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.