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University of California, Los Angeles. Statistics 0891. degree granting institution.

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Baylor University. Statistical Science. degree granting institution.

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Berchuck, Samuel L., author.

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Columbia University. Statistics. degree granting institution.

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Cornell University. Computer Science. degree granting institution.

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Danielson, Aaron, author.

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Demirdjian, Levon, author.

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Ebrahimzadeh Houlasou, Ehsan, author.

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Gaul, Wolfgang A.

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Geyer-Schulz, Andreas.

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Huang, Weiyu, author.

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Kang, Hua, author.

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Kansas State University. Department of Statistics. degree granting institution.

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Lee, Moontae, author.

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Li, Xintong, author.

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Lu, Feihan, author.

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Schmidt-Thieme, Lars.

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Shao, Kanghong, author.

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Shi, Huwenbo, author.

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Sidrow, Evan, author.

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SpringerLink (Online service)

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The University of North Carolina at Chapel Hill. Biostatistics. degree granting institution.

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The University of Wisconsin - Madison. Statistics. degree granting institution.

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University of California, Los Angeles. Bioinformatics 025F. degree granting institution.

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University of California, Los Angeles. Electrical Engineering 0303. degree granting institution.

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University of California, Los Angeles. Statistics. degree granting institution.

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University of Colorado at Boulder. Applied Mathematics. degree granting institution.

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University of Pennsylvania. Electrical and Systems Engineering. degree granting institution.

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Zhao, Zifeng, author.

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Zhou, Qi, author.

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Cover image for Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

1.

Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

by

Lu, Feihan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10828993

Format:

Excerpt:

Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and

Cover image for Challenges at the Interface of Data Analysis, Computer Science, and Optimization Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

Challenges at the Interface of Data Analysis, Computer Science, and Optimization Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

2.

Challenges at the Interface of Data Analysis, Computer Science, and Optimization Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

by

Gaul, Wolfgang A.

http://dx.doi.org/10.1007/978-3-642-24466-7

Format:

Excerpt:

Data structures (Computer science).

Cover image for Some Models in Relational Systems

Some Models in Relational Systems

3.

Some Models in Relational Systems

by

Danielson, Aaron, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10827213

Format:

Excerpt:

over the of possible instrument structures thereby defining a way to view data without an instrument

Cover image for Statistical Modeling for Community Recovery after Seismic Events

Statistical Modeling for Community Recovery after Seismic Events

4.

Statistical Modeling for Community Recovery after Seismic Events

by

Kang, Hua, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824471

Format:

Excerpt:

sequential pre-construction and construction phases using Socio-Economic data collected from a subset of the

Cover image for Statistical Models for Cognitive Social Structures

Statistical Models for Cognitive Social Structures

5.

Statistical Models for Cognitive Social Structures

by

Shao, Kanghong, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829462

Format:

Excerpt:

illustrate that our model is capable of characterizing cognitive social structures. The results also motivate

Cover image for Computational Methods to Analyze Large-Scale Genetic Studies of Complex Human Traits

Computational Methods to Analyze Large-Scale Genetic Studies of Complex Human Traits

6.

Computational Methods to Analyze Large-Scale Genetic Studies of Complex Human Traits

by

Shi, Huwenbo, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10825662

Format:

Excerpt:

statistics data, while accounting for complex correlation structures among genetic variants, and uncovers the

Cover image for Bayesian Propensity Score Analysis for Clustered Observational Studies

Bayesian Propensity Score Analysis for Clustered Observational Studies

7.

Bayesian Propensity Score Analysis for Clustered Observational Studies

by

Zhou, Qi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790399

Format:

Excerpt:

complexity of multilevel modeling structures are examined in terms of average absolute bias and mean square

Cover image for Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions

Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions

8.

Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions

by

Sidrow, Evan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809287

Format:

Excerpt:

probabilistic dependencies between them. The ability to recover Bayesian network structures from data is

Cover image for Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

9.

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

by

Lee, Moontae, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823238

Format:

Excerpt:

Algorithm (RAWA) is able to learn quality latent structures and their interactions even on small noisy data

Cover image for Statistical Methods for Analyzing mRNA Isoform Variation in Large-Scale RNA-Seq Data

Statistical Methods for Analyzing mRNA Isoform Variation in Large-Scale RNA-Seq Data

10.

Statistical Methods for Analyzing mRNA Isoform Variation in Large-Scale RNA-Seq Data

by

Demirdjian, Levon, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824773

Format:

Excerpt:

statistical methodologies that more effectively leverage complex RNA-seq data structures for studying AS.

Cover image for Networked Data Analytics: Network Comparison and Applied Graph Signal Processing

Networked Data Analytics: Network Comparison and Applied Graph Signal Processing

11.

Networked Data Analytics: Network Comparison and Applied Graph Signal Processing

by

Huang, Weiyu, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10788077

Format:

Excerpt:

clustering algorithm to categorize networked data structures. Besides, we could define the notion of

Cover image for Statistical Methods for Modeling the Spatial Structure on the Visual Field in Glaucoma Progression Research

Statistical Methods for Modeling the Spatial Structure on the Visual Field in Glaucoma Progression Research

12.

Statistical Methods for Modeling the Spatial Structure on the Visual Field in Glaucoma Progression Research

by

Berchuck, Samuel L., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10788643

Format:

Excerpt:

regular intervals. VF data are characterized by a complex spatiotemporal structure due to the data

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