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106 total matches.

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- 2005 – 2009 (21)

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Universitat de Valencia

1. Rodríguez de Rivera Ortega, Oscar. Spatio temporal modeling of species distribution .

Degree: 2019, Universitat de Valencia

URL: http://hdl.handle.net/10550/68427

► The aim of this thesis is study spatial distribution of different groups from different perspectives and to analyse the different approaches to this problem. We…
(more)

Subjects/Keywords: ecology; species distribution model; bayesian hierarchical model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Rodríguez de Rivera Ortega, O. (2019). Spatio temporal modeling of species distribution . (Doctoral Dissertation). Universitat de Valencia. Retrieved from http://hdl.handle.net/10550/68427

Chicago Manual of Style (16^{th} Edition):

Rodríguez de Rivera Ortega, Oscar. “Spatio temporal modeling of species distribution .” 2019. Doctoral Dissertation, Universitat de Valencia. Accessed October 15, 2019. http://hdl.handle.net/10550/68427.

MLA Handbook (7^{th} Edition):

Rodríguez de Rivera Ortega, Oscar. “Spatio temporal modeling of species distribution .” 2019. Web. 15 Oct 2019.

Vancouver:

Rodríguez de Rivera Ortega O. Spatio temporal modeling of species distribution . [Internet] [Doctoral dissertation]. Universitat de Valencia; 2019. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10550/68427.

Council of Science Editors:

Rodríguez de Rivera Ortega O. Spatio temporal modeling of species distribution . [Doctoral Dissertation]. Universitat de Valencia; 2019. Available from: http://hdl.handle.net/10550/68427

University of Southern California

2. Wang, Li. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115

► Nanomanufacturing is currently a major bottleneck that hinders the transformation of nanotechnology from laboratory to industrial applications. Due to both limited process understanding and control,…
(more)

Subjects/Keywords: statistical modeling; nano; Bayesian hierarchical model

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APA (6^{th} Edition):

Wang, L. (2013). Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115

Chicago Manual of Style (16^{th} Edition):

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 15, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115.

MLA Handbook (7^{th} Edition):

Wang, Li. “Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing.” 2013. Web. 15 Oct 2019.

Vancouver:

Wang L. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 15]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115.

Council of Science Editors:

Wang L. Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347602/rec/4115

University of Southern California

3.
Liang, Wei.
*Bayesian**hierarchical* models in genetic association
studies.

Degree: PhD, Biostatistics, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/344907/rec/1041

► Genetic association studies aim to find the genetic variations that are associated with phenotypes (traits). In the last decade, genome-wide association studies have been proposed…
(more)

Subjects/Keywords: Bayesian; hierarchical model; genetic association study

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APA (6^{th} Edition):

Liang, W. (2013). Bayesian hierarchical models in genetic association studies. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/344907/rec/1041

Chicago Manual of Style (16^{th} Edition):

Liang, Wei. “Bayesian hierarchical models in genetic association studies.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 15, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/344907/rec/1041.

MLA Handbook (7^{th} Edition):

Liang, Wei. “Bayesian hierarchical models in genetic association studies.” 2013. Web. 15 Oct 2019.

Vancouver:

Liang W. Bayesian hierarchical models in genetic association studies. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 15]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/344907/rec/1041.

Council of Science Editors:

Liang W. Bayesian hierarchical models in genetic association studies. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/344907/rec/1041

The Ohio State University

4.
White, Staci A.
Quantifying *Model* Error in *Bayesian* Parameter
Estimation.

Degree: PhD, Statistics, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

► As technological power increases, statistical models are becoming increasing complex. In a *Bayesian* analysis, performing parametric inference typically requires exploring the posterior distribution using Markov…
(more)

Subjects/Keywords: Statistics; Model Error; Bayesian Estimation; Hierarchical Model; Approximation; Kullback-Leibler; divergence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

White, S. A. (2015). Quantifying Model Error in Bayesian Parameter Estimation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

Chicago Manual of Style (16^{th} Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed October 15, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

MLA Handbook (7^{th} Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Web. 15 Oct 2019.

Vancouver:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Oct 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

Council of Science Editors:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

Texas A&M University

5.
Xia, Haifeng.
*Bayesian**Hierarchical* *Model* for Combining Two-resolution Metrology Data.

Degree: 2010, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164

► This dissertation presents a *Bayesian* *hierarchical* *model* to combine two-resolution metrology data for inspecting the geometric quality of manufactured parts. The high- resolution data points…
(more)

Subjects/Keywords: Bayesian hierarchical model; Bayesian model averaging; Data combining; Gaussian process; Misalignment; Two-resolution data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Xia, H. (2010). Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Xia, Haifeng. “Bayesian Hierarchical Model for Combining Two-resolution Metrology Data.” 2010. Thesis, Texas A&M University. Accessed October 15, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Xia, Haifeng. “Bayesian Hierarchical Model for Combining Two-resolution Metrology Data.” 2010. Web. 15 Oct 2019.

Vancouver:

Xia H. Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xia H. Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

6.
Wadsworth, W Duncan.
* Bayesian* Methods for the Analysis of Microbiome Data.

Degree: PhD, Engineering, 2016, Rice University

URL: http://hdl.handle.net/1911/95977

► Bacteria, archaea, viruses, and fungi are present in large numbers both on and inside of our bodies. On average, only one in ten of “our”…
(more)

Subjects/Keywords: Bayesian hierarchical model; Data integration; Dirichlet-Multinomial; Microbiome data; Variable selection; Multiple testing; Bayesian nonparametrics

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APA (6^{th} Edition):

Wadsworth, W. D. (2016). Bayesian Methods for the Analysis of Microbiome Data. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/95977

Chicago Manual of Style (16^{th} Edition):

Wadsworth, W Duncan. “Bayesian Methods for the Analysis of Microbiome Data.” 2016. Doctoral Dissertation, Rice University. Accessed October 15, 2019. http://hdl.handle.net/1911/95977.

MLA Handbook (7^{th} Edition):

Wadsworth, W Duncan. “Bayesian Methods for the Analysis of Microbiome Data.” 2016. Web. 15 Oct 2019.

Vancouver:

Wadsworth WD. Bayesian Methods for the Analysis of Microbiome Data. [Internet] [Doctoral dissertation]. Rice University; 2016. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1911/95977.

Council of Science Editors:

Wadsworth WD. Bayesian Methods for the Analysis of Microbiome Data. [Doctoral Dissertation]. Rice University; 2016. Available from: http://hdl.handle.net/1911/95977

University of Ghana

7.
Anno-Kwakye, R.
*Bayesian**Hierarchical* *Model* With Classification And Regression Tree In Predicting Loan Default
.

Degree: 2017, University of Ghana

URL: http://ugspace.ug.edu.gh/handle/123456789/23191

► *Bayesian* modelling as well as decision tree methods are some of the efficacious classification methods in credit scoring applications. Application of these methods to credit…
(more)

Subjects/Keywords: Bayesian Hierarchical Model; Classification; Regression Tree; Loan Default

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APA (6^{th} Edition):

Anno-Kwakye, R. (2017). Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default . (Masters Thesis). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/23191

Chicago Manual of Style (16^{th} Edition):

Anno-Kwakye, R. “Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default .” 2017. Masters Thesis, University of Ghana. Accessed October 15, 2019. http://ugspace.ug.edu.gh/handle/123456789/23191.

MLA Handbook (7^{th} Edition):

Anno-Kwakye, R. “Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default .” 2017. Web. 15 Oct 2019.

Vancouver:

Anno-Kwakye R. Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default . [Internet] [Masters thesis]. University of Ghana; 2017. [cited 2019 Oct 15]. Available from: http://ugspace.ug.edu.gh/handle/123456789/23191.

Council of Science Editors:

Anno-Kwakye R. Bayesian Hierarchical Model With Classification And Regression Tree In Predicting Loan Default . [Masters Thesis]. University of Ghana; 2017. Available from: http://ugspace.ug.edu.gh/handle/123456789/23191

University of Washington

8. Azose, Jonathan Jerome. Projection and Estimation of International Migration.

Degree: PhD, 2017, University of Washington

URL: http://hdl.handle.net/1773/38221

► I propose techniques for improving both estimation and projection of international migration. By applying a *Bayesian* *hierarchical* modeling approach to net migration data, I produce…
(more)

Subjects/Keywords: Bayesian Hierarchical Model; Correlation; Estimation; International Migration; Projection; Statistics; Demography; statistics

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APA (6^{th} Edition):

Azose, J. J. (2017). Projection and Estimation of International Migration. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/38221

Chicago Manual of Style (16^{th} Edition):

Azose, Jonathan Jerome. “Projection and Estimation of International Migration.” 2017. Doctoral Dissertation, University of Washington. Accessed October 15, 2019. http://hdl.handle.net/1773/38221.

MLA Handbook (7^{th} Edition):

Azose, Jonathan Jerome. “Projection and Estimation of International Migration.” 2017. Web. 15 Oct 2019.

Vancouver:

Azose JJ. Projection and Estimation of International Migration. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1773/38221.

Council of Science Editors:

Azose JJ. Projection and Estimation of International Migration. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/38221

University of Washington

9.
Coley, Rebecca Yates.
*Bayesian**Hierarchical* Frailty Models for Heterogeneity in Risk.

Degree: PhD, 2014, University of Washington

URL: http://hdl.handle.net/1773/26396

► The effect of an intervention or exposure on time-to-event is most commonly estimated with the Cox *model*, which assumes proportional hazards. When heterogeneity in risk…
(more)

Subjects/Keywords: Bayesian analysis; Frailty; Heterogeneity; Hierarchical model; HIV prevention; Survival analysis; Biostatistics

Record Details Similar Records

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APA (6^{th} Edition):

Coley, R. Y. (2014). Bayesian Hierarchical Frailty Models for Heterogeneity in Risk. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/26396

Chicago Manual of Style (16^{th} Edition):

Coley, Rebecca Yates. “Bayesian Hierarchical Frailty Models for Heterogeneity in Risk.” 2014. Doctoral Dissertation, University of Washington. Accessed October 15, 2019. http://hdl.handle.net/1773/26396.

MLA Handbook (7^{th} Edition):

Coley, Rebecca Yates. “Bayesian Hierarchical Frailty Models for Heterogeneity in Risk.” 2014. Web. 15 Oct 2019.

Vancouver:

Coley RY. Bayesian Hierarchical Frailty Models for Heterogeneity in Risk. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1773/26396.

Council of Science Editors:

Coley RY. Bayesian Hierarchical Frailty Models for Heterogeneity in Risk. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26396

Brunel University

10. Tan, Hwei-Yang. Statistical methods for the analysis of corrosion data for integrity assessments.

Degree: PhD, 2017, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/15275 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764816

► In the oil and gas industry, statistical methods have been used for corrosion analysis for various asset systems such as pipelines, storage tanks, and so…
(more)

Subjects/Keywords: Remaining useful life; Bayesian hierarchical model; Piping deadleg; Conductor pipe

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APA (6^{th} Edition):

Tan, H. (2017). Statistical methods for the analysis of corrosion data for integrity assessments. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/15275 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764816

Chicago Manual of Style (16^{th} Edition):

Tan, Hwei-Yang. “Statistical methods for the analysis of corrosion data for integrity assessments.” 2017. Doctoral Dissertation, Brunel University. Accessed October 15, 2019. http://bura.brunel.ac.uk/handle/2438/15275 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764816.

MLA Handbook (7^{th} Edition):

Tan, Hwei-Yang. “Statistical methods for the analysis of corrosion data for integrity assessments.” 2017. Web. 15 Oct 2019.

Vancouver:

Tan H. Statistical methods for the analysis of corrosion data for integrity assessments. [Internet] [Doctoral dissertation]. Brunel University; 2017. [cited 2019 Oct 15]. Available from: http://bura.brunel.ac.uk/handle/2438/15275 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764816.

Council of Science Editors:

Tan H. Statistical methods for the analysis of corrosion data for integrity assessments. [Doctoral Dissertation]. Brunel University; 2017. Available from: http://bura.brunel.ac.uk/handle/2438/15275 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764816

Boston University

11.
McIntosh, Avery Isaac.
Extensions to *Bayesian* generalized linear mixed effects models for household tuberculosis transmission.

Degree: PhD, Biostatistics, 2017, Boston University

URL: http://hdl.handle.net/2144/22451

► Understanding tuberculosis transmission is vital for efforts at interrupting the spread of disease. Household contact studies that follow persons sharing a household with a TB…
(more)

Subjects/Keywords: Biostatistics; Bayesian mixed effects; Generalized linear model; Hierarchical models; Infection; Tuberculosis

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APA (6^{th} Edition):

McIntosh, A. I. (2017). Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/22451

Chicago Manual of Style (16^{th} Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Doctoral Dissertation, Boston University. Accessed October 15, 2019. http://hdl.handle.net/2144/22451.

MLA Handbook (7^{th} Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Web. 15 Oct 2019.

Vancouver:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2144/22451.

Council of Science Editors:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/22451

University of California – Berkeley

12. Marchand, Philippe. Statistical Methods for the Detection and Space-Time Monitoring of DNA Markers in the Pollen Cloud.

Degree: Environmental Science, Policy, & Management, 2013, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/8ps0w87q

► The analysis of pollen grains finds applications in fields as diverse as allergology, paleoecology, apiculture and forensics. In contrast with morphological identification methods that require…
(more)

Subjects/Keywords: Environmental science; Ecology; Biostatistics; Dilution assay; Genetics; Hierarchical Bayesian model; Individual-based model; Pollination

Record Details Similar Records

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APA (6^{th} Edition):

Marchand, P. (2013). Statistical Methods for the Detection and Space-Time Monitoring of DNA Markers in the Pollen Cloud. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/8ps0w87q

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Marchand, Philippe. “Statistical Methods for the Detection and Space-Time Monitoring of DNA Markers in the Pollen Cloud.” 2013. Thesis, University of California – Berkeley. Accessed October 15, 2019. http://www.escholarship.org/uc/item/8ps0w87q.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Marchand, Philippe. “Statistical Methods for the Detection and Space-Time Monitoring of DNA Markers in the Pollen Cloud.” 2013. Web. 15 Oct 2019.

Vancouver:

Marchand P. Statistical Methods for the Detection and Space-Time Monitoring of DNA Markers in the Pollen Cloud. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Oct 15]. Available from: http://www.escholarship.org/uc/item/8ps0w87q.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marchand P. Statistical Methods for the Detection and Space-Time Monitoring of DNA Markers in the Pollen Cloud. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/8ps0w87q

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Irvine

13. Hu, Lechuan. Modeling Connectivity in Multi-trial Brain Signals.

Degree: Statistics, 2018, University of California – Irvine

URL: http://www.escholarship.org/uc/item/9vm3h315

► The hippocampus is critical to memory consolidation. To study the underlying neuronal mechanisms of hippocampus in sequential memory, we consider an experiment recording multi-trial local…
(more)

Subjects/Keywords: Statistics; Bayesian hierarchical vector autoregressive model; Brain effective connectivity; Multivariate time series; Vector autoregressive model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Hu, L. (2018). Modeling Connectivity in Multi-trial Brain Signals. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9vm3h315

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hu, Lechuan. “Modeling Connectivity in Multi-trial Brain Signals.” 2018. Thesis, University of California – Irvine. Accessed October 15, 2019. http://www.escholarship.org/uc/item/9vm3h315.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hu, Lechuan. “Modeling Connectivity in Multi-trial Brain Signals.” 2018. Web. 15 Oct 2019.

Vancouver:

Hu L. Modeling Connectivity in Multi-trial Brain Signals. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2019 Oct 15]. Available from: http://www.escholarship.org/uc/item/9vm3h315.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hu L. Modeling Connectivity in Multi-trial Brain Signals. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9vm3h315

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

14. Chen, Yang. Robust Prediction of Large Spatio-Temporal Datasets.

Degree: MS, Computer Science, 2013, Virginia Tech

URL: http://hdl.handle.net/10919/23098

► This thesis describes a robust and efficient design of Student-t based Robust Spatio-Temporal Prediction, namely, St-RSTP, to provide estimation based on observations over spatio-temporal neighbors.…
(more)

Subjects/Keywords: Robust Prediction; Expectation Propagation; Student's t Model; Bayesian Hierarchical Model; Spatio-Temporal Process

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chen, Y. (2013). Robust Prediction of Large Spatio-Temporal Datasets. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23098

Chicago Manual of Style (16^{th} Edition):

Chen, Yang. “Robust Prediction of Large Spatio-Temporal Datasets.” 2013. Masters Thesis, Virginia Tech. Accessed October 15, 2019. http://hdl.handle.net/10919/23098.

MLA Handbook (7^{th} Edition):

Chen, Yang. “Robust Prediction of Large Spatio-Temporal Datasets.” 2013. Web. 15 Oct 2019.

Vancouver:

Chen Y. Robust Prediction of Large Spatio-Temporal Datasets. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10919/23098.

Council of Science Editors:

Chen Y. Robust Prediction of Large Spatio-Temporal Datasets. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23098

University of Minnesota

15. Wei, Peng. Network-based mixture models for genomic data.

Degree: PhD, Biostatistics, 2009, University of Minnesota

URL: http://purl.umn.edu/54991

► A common task in genomic studies is to identify genes satisfying certain conditions, such as differentially expressed genes between normal and tumor tissues or regulatory…
(more)

Subjects/Keywords: Bayesian hierarchical model; Gene Network; Genomics; Markov random field; Mixture model; Systems Biology; Biostatistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wei, P. (2009). Network-based mixture models for genomic data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/54991

Chicago Manual of Style (16^{th} Edition):

Wei, Peng. “Network-based mixture models for genomic data.” 2009. Doctoral Dissertation, University of Minnesota. Accessed October 15, 2019. http://purl.umn.edu/54991.

MLA Handbook (7^{th} Edition):

Wei, Peng. “Network-based mixture models for genomic data.” 2009. Web. 15 Oct 2019.

Vancouver:

Wei P. Network-based mixture models for genomic data. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2019 Oct 15]. Available from: http://purl.umn.edu/54991.

Council of Science Editors:

Wei P. Network-based mixture models for genomic data. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/54991

Texas A&M University

16.
Zhang, Lin.
Application of *Bayesian* *Hierarchical* Models in Genetic Data Analysis.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148056

► Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is…
(more)

Subjects/Keywords: covariance estimation; feature selection; graphical network modeling; genetic data analysis; Bayesian hierarchical model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhang, L. (2012). Application of Bayesian Hierarchical Models in Genetic Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148056

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed October 15, 2019. http://hdl.handle.net/1969.1/148056.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 15 Oct 2019.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1969.1/148056.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148056

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

17. Brynjarsdóttir, Jenný. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.

Degree: PhD, Statistics, 2011, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520

► The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. Examples include data obtained from remote sensing…
(more)

Subjects/Keywords: Statistics; Dimension reduction; spatio-temporal modeling; Bayesian hierarchical model; data-dependent basis vectors; statistical downscaling

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Brynjarsdóttir, J. (2011). Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520

Chicago Manual of Style (16^{th} Edition):

Brynjarsdóttir, Jenný. “Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.” 2011. Doctoral Dissertation, The Ohio State University. Accessed October 15, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520.

MLA Handbook (7^{th} Edition):

Brynjarsdóttir, Jenný. “Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.” 2011. Web. 15 Oct 2019.

Vancouver:

Brynjarsdóttir J. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2019 Oct 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520.

Council of Science Editors:

Brynjarsdóttir J. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520

University of Georgia

18. Bhat, Sanath Govinda. Learning driver preferences for freeway merging using multitask irl.

Degree: MS, Computer Science, 2017, University of Georgia

URL: http://hdl.handle.net/10724/37273

► Most automobile manufacturers today have invested heavily in the research and design of implementing autonomy in their cars. One important and challenging problem faced by…
(more)

Subjects/Keywords: Inverse Reinforcement Learning; Hierarchical Bayesian Model; Multitask; Highway Merging; NGSIM; Likelihood Weighting

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❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bhat, S. G. (2017). Learning driver preferences for freeway merging using multitask irl. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37273

Chicago Manual of Style (16^{th} Edition):

Bhat, Sanath Govinda. “Learning driver preferences for freeway merging using multitask irl.” 2017. Masters Thesis, University of Georgia. Accessed October 15, 2019. http://hdl.handle.net/10724/37273.

MLA Handbook (7^{th} Edition):

Bhat, Sanath Govinda. “Learning driver preferences for freeway merging using multitask irl.” 2017. Web. 15 Oct 2019.

Vancouver:

Bhat SG. Learning driver preferences for freeway merging using multitask irl. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10724/37273.

Council of Science Editors:

Bhat SG. Learning driver preferences for freeway merging using multitask irl. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37273

University of Georgia

19. Bhat, Sanath Govinda. Learning driver preferences for freeway merging using multitask irl.

Degree: MS, Computer Science, 2017, University of Georgia

URL: http://hdl.handle.net/10724/37116

► Most automobile manufacturers today have invested heavily in the research and design of implementing autonomy in their cars. One important and challenging problem faced by…
(more)

Subjects/Keywords: Inverse Reinforcement Learning; Hierarchical Bayesian Model; Multitask; Highway Merging; NGSIM; Likelihood Weighting

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bhat, S. G. (2017). Learning driver preferences for freeway merging using multitask irl. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37116

Chicago Manual of Style (16^{th} Edition):

Bhat, Sanath Govinda. “Learning driver preferences for freeway merging using multitask irl.” 2017. Masters Thesis, University of Georgia. Accessed October 15, 2019. http://hdl.handle.net/10724/37116.

MLA Handbook (7^{th} Edition):

Bhat, Sanath Govinda. “Learning driver preferences for freeway merging using multitask irl.” 2017. Web. 15 Oct 2019.

Vancouver:

Bhat SG. Learning driver preferences for freeway merging using multitask irl. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10724/37116.

Council of Science Editors:

Bhat SG. Learning driver preferences for freeway merging using multitask irl. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37116

Duke University

20. Luo, Kaixuan. Modeling Nuclease Digestion Data to Predict the Dynamics of Genome-wide Transcription Factor Occupancy .

Degree: 2016, Duke University

URL: http://hdl.handle.net/10161/14351

► Identifying and deciphering the complex regulatory information embedded in the genome is critical to our understanding of biology and the etiology of complex diseases.…
(more)

Subjects/Keywords: Bioinformatics; Genetics; Bayesian hierarchical model; ChIP-seq; DNase-seq; gene regulation; MNase-seq; transcription factors

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Luo, K. (2016). Modeling Nuclease Digestion Data to Predict the Dynamics of Genome-wide Transcription Factor Occupancy . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14351

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Luo, Kaixuan. “Modeling Nuclease Digestion Data to Predict the Dynamics of Genome-wide Transcription Factor Occupancy .” 2016. Thesis, Duke University. Accessed October 15, 2019. http://hdl.handle.net/10161/14351.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Luo, Kaixuan. “Modeling Nuclease Digestion Data to Predict the Dynamics of Genome-wide Transcription Factor Occupancy .” 2016. Web. 15 Oct 2019.

Vancouver:

Luo K. Modeling Nuclease Digestion Data to Predict the Dynamics of Genome-wide Transcription Factor Occupancy . [Internet] [Thesis]. Duke University; 2016. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10161/14351.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luo K. Modeling Nuclease Digestion Data to Predict the Dynamics of Genome-wide Transcription Factor Occupancy . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/14351

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

21.
Wu, Margaret.
A Latent Health Factor *Model* for Estimating Estuarine Ecosystem Health.

Degree: 2009, University of Waterloo

URL: http://hdl.handle.net/10012/4425

► Assessment of the “health” of an ecosystem is often of great interest to those interested in monitoring and conservation of ecosystems. Traditionally, scientists have quantified…
(more)

Subjects/Keywords: Bayesian hierarchical model; estuarine ecosystem health

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wu, M. (2009). A Latent Health Factor Model for Estimating Estuarine Ecosystem Health. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4425

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wu, Margaret. “A Latent Health Factor Model for Estimating Estuarine Ecosystem Health.” 2009. Thesis, University of Waterloo. Accessed October 15, 2019. http://hdl.handle.net/10012/4425.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wu, Margaret. “A Latent Health Factor Model for Estimating Estuarine Ecosystem Health.” 2009. Web. 15 Oct 2019.

Vancouver:

Wu M. A Latent Health Factor Model for Estimating Estuarine Ecosystem Health. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10012/4425.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu M. A Latent Health Factor Model for Estimating Estuarine Ecosystem Health. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4425

Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

22. Ellis, Amanda R. ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS.

Degree: 2018, University of Kentucky

URL: https://uknowledge.uky.edu/statistics_etds/31

► I consider statistical modelling of data gathered by photographic identification in mark-recapture studies and propose a new method that incorporates the inherent uncertainty of photographic…
(more)

Subjects/Keywords: Mark-Recapture; Photographic Identification; Bayesian Analysis; Hierarchical Model; Applied Statistics; Statistical Models

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ellis, A. R. (2018). ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/31

Chicago Manual of Style (16^{th} Edition):

Ellis, Amanda R. “ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS.” 2018. Doctoral Dissertation, University of Kentucky. Accessed October 15, 2019. https://uknowledge.uky.edu/statistics_etds/31.

MLA Handbook (7^{th} Edition):

Ellis, Amanda R. “ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS.” 2018. Web. 15 Oct 2019.

Vancouver:

Ellis AR. ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2019 Oct 15]. Available from: https://uknowledge.uky.edu/statistics_etds/31.

Council of Science Editors:

Ellis AR. ACCOUNTING FOR MATCHING UNCERTAINTY IN PHOTOGRAPHIC IDENTIFICATION STUDIES OF WILD ANIMALS. [Doctoral Dissertation]. University of Kentucky; 2018. Available from: https://uknowledge.uky.edu/statistics_etds/31

Duquesne University

23.
Jordan, Joseph Patrick.
*Bayesian**Hierarchical* Modeling for Longitudinal Frequency Data.

Degree: MS, Computational Mathematics, 2005, Duquesne University

URL: https://dsc.duq.edu/etd/711

► This research is to develop a longitudinal frequency *model* for data collected regularly for several individuals over an extended time period. This *model* must recognize…
(more)

Subjects/Keywords: Bayesian; Hierarchical Model; Longitudinal Frequency Data

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Jordan, J. P. (2005). Bayesian Hierarchical Modeling for Longitudinal Frequency Data. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/711

Chicago Manual of Style (16^{th} Edition):

Jordan, Joseph Patrick. “Bayesian Hierarchical Modeling for Longitudinal Frequency Data.” 2005. Masters Thesis, Duquesne University. Accessed October 15, 2019. https://dsc.duq.edu/etd/711.

MLA Handbook (7^{th} Edition):

Jordan, Joseph Patrick. “Bayesian Hierarchical Modeling for Longitudinal Frequency Data.” 2005. Web. 15 Oct 2019.

Vancouver:

Jordan JP. Bayesian Hierarchical Modeling for Longitudinal Frequency Data. [Internet] [Masters thesis]. Duquesne University; 2005. [cited 2019 Oct 15]. Available from: https://dsc.duq.edu/etd/711.

Council of Science Editors:

Jordan JP. Bayesian Hierarchical Modeling for Longitudinal Frequency Data. [Masters Thesis]. Duquesne University; 2005. Available from: https://dsc.duq.edu/etd/711

Brigham Young University

24. Page, Garritt L. Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games.

Degree: MS, 2005, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1655&context=etd

► Basketball is a sport that has become increasingly popular world-wide. At the professional level it is a game in which each of the five positions…
(more)

Subjects/Keywords: Bayesian Hierarchical Model; Statistics and Probability

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Page, G. L. (2005). Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1655&context=etd

Chicago Manual of Style (16^{th} Edition):

Page, Garritt L. “Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games.” 2005. Masters Thesis, Brigham Young University. Accessed October 15, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1655&context=etd.

MLA Handbook (7^{th} Edition):

Page, Garritt L. “Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games.” 2005. Web. 15 Oct 2019.

Vancouver:

Page GL. Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games. [Internet] [Masters thesis]. Brigham Young University; 2005. [cited 2019 Oct 15]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1655&context=etd.

Council of Science Editors:

Page GL. Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games. [Masters Thesis]. Brigham Young University; 2005. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1655&context=etd

University of Kentucky

25. Roualdes, Edward A. New Results in ell_1 Penalized Regression.

Degree: 2015, University of Kentucky

URL: https://uknowledge.uky.edu/statistics_etds/13

► Here we consider penalized regression methods, and extend on the results surrounding the l1 norm penalty. We address a more recent development that generalizes previous…
(more)

Subjects/Keywords: linear model; penalized regression; Bayesian analysis; Hierarchical Models; Applied Statistics; Statistical Models

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Roualdes, E. A. (2015). New Results in ell_1 Penalized Regression. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/13

Chicago Manual of Style (16^{th} Edition):

Roualdes, Edward A. “New Results in ell_1 Penalized Regression.” 2015. Doctoral Dissertation, University of Kentucky. Accessed October 15, 2019. https://uknowledge.uky.edu/statistics_etds/13.

MLA Handbook (7^{th} Edition):

Roualdes, Edward A. “New Results in ell_1 Penalized Regression.” 2015. Web. 15 Oct 2019.

Vancouver:

Roualdes EA. New Results in ell_1 Penalized Regression. [Internet] [Doctoral dissertation]. University of Kentucky; 2015. [cited 2019 Oct 15]. Available from: https://uknowledge.uky.edu/statistics_etds/13.

Council of Science Editors:

Roualdes EA. New Results in ell_1 Penalized Regression. [Doctoral Dissertation]. University of Kentucky; 2015. Available from: https://uknowledge.uky.edu/statistics_etds/13

Queensland University of Technology

26.
Tran, Thu Trung.
*Bayesian**model* estimation and comparison for longitudinal categorical data.

Degree: 2008, Queensland University of Technology

URL: https://eprints.qut.edu.au/19240/

► In this thesis, we address issues of *model* estimation for longitudinal categorical data and of *model* selection for these data with missing covariates. Longitudinal survey…
(more)

Subjects/Keywords: longitudinal data analysis; generalized linear models; Bayesian hierarchical models; Bayesian model choice; Bayes factors; deviance information criterion; missing data

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Tran, T. T. (2008). Bayesian model estimation and comparison for longitudinal categorical data. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/19240/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tran, Thu Trung. “Bayesian model estimation and comparison for longitudinal categorical data.” 2008. Thesis, Queensland University of Technology. Accessed October 15, 2019. https://eprints.qut.edu.au/19240/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tran, Thu Trung. “Bayesian model estimation and comparison for longitudinal categorical data.” 2008. Web. 15 Oct 2019.

Vancouver:

Tran TT. Bayesian model estimation and comparison for longitudinal categorical data. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Oct 15]. Available from: https://eprints.qut.edu.au/19240/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tran TT. Bayesian model estimation and comparison for longitudinal categorical data. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/19240/

Not specified: Masters Thesis or Doctoral Dissertation

McMaster University

27. Bai, Yu Qing. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.

Degree: MSc, 2011, McMaster University

URL: http://hdl.handle.net/11375/11402

►

Postpartum depression has become a major public health concern for women within a specific time period after delivery. Depression is possibly associated with some… (more)

Subjects/Keywords: The Ontario Mother and Infant Study; generalized estimating equations; generalized linear mixed effect model; hierarchical generalized linear model; Bayesian hierarchical model; Biostatistics; Longitudinal Data Analysis and Time Series; Biostatistics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bai, Y. Q. (2011). Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/11402

Chicago Manual of Style (16^{th} Edition):

Bai, Yu Qing. “Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.” 2011. Masters Thesis, McMaster University. Accessed October 15, 2019. http://hdl.handle.net/11375/11402.

MLA Handbook (7^{th} Edition):

Bai, Yu Qing. “Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.” 2011. Web. 15 Oct 2019.

Vancouver:

Bai YQ. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/11375/11402.

Council of Science Editors:

Bai YQ. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/11402

The Ohio State University

28. Han, Gang. Modeling The Output From Computer Experiments Having Quantitative And Qualitative Input Variables And Its Applications.

Degree: PhD, Statistics, 2008, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1228326460

► Complex computer models have extensive usage in scientific and engineering studies. Because the number of computer runs is typically limited, statistical models are used…
(more)

Subjects/Keywords: Statistics; Gaussian stochastic process model; Product Gaussian correlation; Hierarchical Bayesian model; Root mean squared prediction error.

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Han, G. (2008). Modeling The Output From Computer Experiments Having Quantitative And Qualitative Input Variables And Its Applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1228326460

Chicago Manual of Style (16^{th} Edition):

Han, Gang. “Modeling The Output From Computer Experiments Having Quantitative And Qualitative Input Variables And Its Applications.” 2008. Doctoral Dissertation, The Ohio State University. Accessed October 15, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1228326460.

MLA Handbook (7^{th} Edition):

Han, Gang. “Modeling The Output From Computer Experiments Having Quantitative And Qualitative Input Variables And Its Applications.” 2008. Web. 15 Oct 2019.

Vancouver:

Han G. Modeling The Output From Computer Experiments Having Quantitative And Qualitative Input Variables And Its Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Oct 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1228326460.

Council of Science Editors:

Han G. Modeling The Output From Computer Experiments Having Quantitative And Qualitative Input Variables And Its Applications. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1228326460

University of Washington

29.
Wheldon, Mark Christopher.
* Bayesian* Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data.

Degree: PhD, 2013, University of Washington

URL: http://hdl.handle.net/1773/22813

► Current methods for reconstructing human populations of the past by age and sex are deterministic or do not formally account for measurement error. I propose…
(more)

Subjects/Keywords: Bayesian hierarchical model; Cohort component model; International migration; Measurement error; Sex ratio at birth; Vital rate; Statistics; Demography; statistics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wheldon, M. C. (2013). Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/22813

Chicago Manual of Style (16^{th} Edition):

Wheldon, Mark Christopher. “Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data.” 2013. Doctoral Dissertation, University of Washington. Accessed October 15, 2019. http://hdl.handle.net/1773/22813.

MLA Handbook (7^{th} Edition):

Wheldon, Mark Christopher. “Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data.” 2013. Web. 15 Oct 2019.

Vancouver:

Wheldon MC. Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data. [Internet] [Doctoral dissertation]. University of Washington; 2013. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1773/22813.

Council of Science Editors:

Wheldon MC. Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data. [Doctoral Dissertation]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/22813

George Mason University

30.
Yan, Yongping.
*Bayesian**Hierarchical* Point-Pattern-Based Intensity *Model* in Prediction of Highway Losses
.

Degree: 2013, George Mason University

URL: http://hdl.handle.net/1920/8754

► Traditional spatial-temporal models either use separable models to separate spatial processes from temporal processes, which often results in a loss of information, or use nonseparable…
(more)

Subjects/Keywords: Statistics; Public health; Bayesian Hierarchical Model; Expectation Maximization; Finite Mixture model; Highway losses; Poisson point process; Spatio-temporal

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yan, Y. (2013). Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8754

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Yan, Yongping. “Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .” 2013. Thesis, George Mason University. Accessed October 15, 2019. http://hdl.handle.net/1920/8754.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yan, Yongping. “Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .” 2013. Web. 15 Oct 2019.

Vancouver:

Yan Y. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . [Internet] [Thesis]. George Mason University; 2013. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1920/8754.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yan Y. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . [Thesis]. George Mason University; 2013. Available from: http://hdl.handle.net/1920/8754

Not specified: Masters Thesis or Doctoral Dissertation