Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Graphical model). Showing records 1 – 30 of 131 total matches.

[1] [2] [3] [4] [5]

Search Limiters

Last 2 Years | English Only

Department

Degrees

Levels

▼ Search Limiters


University of Alberta

1. Sen, Abhishek. Hand Tracking by Fusion of Color and a Range Sensor.

Degree: MS, Department of Computing Science, 2012, University of Alberta

 In this work we have developed a decentralized algorithm for efficient localization and tracking of hands from a sequence of depth and colour images. We… (more)

Subjects/Keywords: hand tracking; graphical model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sen, A. (2012). Hand Tracking by Fusion of Color and a Range Sensor. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/pv63g128r

Chicago Manual of Style (16th Edition):

Sen, Abhishek. “Hand Tracking by Fusion of Color and a Range Sensor.” 2012. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/pv63g128r.

MLA Handbook (7th Edition):

Sen, Abhishek. “Hand Tracking by Fusion of Color and a Range Sensor.” 2012. Web. 25 Mar 2019.

Vancouver:

Sen A. Hand Tracking by Fusion of Color and a Range Sensor. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/pv63g128r.

Council of Science Editors:

Sen A. Hand Tracking by Fusion of Color and a Range Sensor. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/pv63g128r


University of Rochester

2. LaCombe, Jason R. Non-Informative Priors for Structural Inference in Bayesian Networks.

Degree: PhD, 2011, University of Rochester

 A fundamental problem in multivariate statistics is the determination of dependency relationships among random variables. Bayesian networks equate the dependency properties of the considered variables… (more)

Subjects/Keywords: Bayesian-Networks; Model-Selection; Prior Graphical Model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

LaCombe, J. R. (2011). Non-Informative Priors for Structural Inference in Bayesian Networks. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15981

Chicago Manual of Style (16th Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Doctoral Dissertation, University of Rochester. Accessed March 25, 2019. http://hdl.handle.net/1802/15981.

MLA Handbook (7th Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Web. 25 Mar 2019.

Vancouver:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1802/15981.

Council of Science Editors:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15981


Boston University

3. Kang, Xinyu. Statistical methods for topology inference, denoising, and bootstrapping in networks.

Degree: PhD, Mathematics & Statistics, 2018, Boston University

 Quite often, the data we observe can be effectively represented using graphs. The underlying structure of the resulting graph, however, might contain noise and does… (more)

Subjects/Keywords: Statistics; Network; Graphical model; Multiscale modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kang, X. (2018). Statistical methods for topology inference, denoising, and bootstrapping in networks. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/33117

Chicago Manual of Style (16th Edition):

Kang, Xinyu. “Statistical methods for topology inference, denoising, and bootstrapping in networks.” 2018. Doctoral Dissertation, Boston University. Accessed March 25, 2019. http://hdl.handle.net/2144/33117.

MLA Handbook (7th Edition):

Kang, Xinyu. “Statistical methods for topology inference, denoising, and bootstrapping in networks.” 2018. Web. 25 Mar 2019.

Vancouver:

Kang X. Statistical methods for topology inference, denoising, and bootstrapping in networks. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2144/33117.

Council of Science Editors:

Kang X. Statistical methods for topology inference, denoising, and bootstrapping in networks. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/33117


University of New South Wales

4. Liu, Xianghang. New Algorithms for Graphical Models and Their Applications in Learning.

Degree: Computer Science & Engineering, 2015, University of New South Wales

 Probabilistic graphical models bring together graph theory and probability theory in a powerful formalism for multivariate statistical modelling. Since many machine learning problems involve the… (more)

Subjects/Keywords: statistical inference; machine learning; graphical model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, X. (2015). New Algorithms for Graphical Models and Their Applications in Learning. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Liu, Xianghang. “New Algorithms for Graphical Models and Their Applications in Learning.” 2015. Doctoral Dissertation, University of New South Wales. Accessed March 25, 2019. http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true.

MLA Handbook (7th Edition):

Liu, Xianghang. “New Algorithms for Graphical Models and Their Applications in Learning.” 2015. Web. 25 Mar 2019.

Vancouver:

Liu X. New Algorithms for Graphical Models and Their Applications in Learning. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2019 Mar 25]. Available from: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true.

Council of Science Editors:

Liu X. New Algorithms for Graphical Models and Their Applications in Learning. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36494/SOURCE02?view=true


University of Missouri – Columbia

5. Liang, Ye. Bayesian methods on selected topics.

Degree: 2012, University of Missouri – Columbia

 Bayesian methods are widely adopted nowadays in statistical analysis. It is especially useful for the statistical inference of complex models or hierarchical models, for which… (more)

Subjects/Keywords: Bayesian statistics; spatial statistics; epidemiology; graphical model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liang, Y. (2012). Bayesian methods on selected topics. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/15884

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liang, Ye. “Bayesian methods on selected topics.” 2012. Thesis, University of Missouri – Columbia. Accessed March 25, 2019. http://hdl.handle.net/10355/15884.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liang, Ye. “Bayesian methods on selected topics.” 2012. Web. 25 Mar 2019.

Vancouver:

Liang Y. Bayesian methods on selected topics. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10355/15884.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang Y. Bayesian methods on selected topics. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/15884

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Irvine

6. Ping, Wei. Learning and Inference in Latent Variable Graphical Models.

Degree: Computer Science, 2016, University of California – Irvine

 Probabilistic graphical models such as Markov random fields provide a powerful framework and tools for machine learning, especially for structured output learning. Latent variables naturally… (more)

Subjects/Keywords: Computer science; Dual-decomposition; Graphical Model; Latent Variable Model; Structured SVM

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ping, W. (2016). Learning and Inference in Latent Variable Graphical Models. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/7q90z4b5

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ping, Wei. “Learning and Inference in Latent Variable Graphical Models.” 2016. Thesis, University of California – Irvine. Accessed March 25, 2019. http://www.escholarship.org/uc/item/7q90z4b5.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ping, Wei. “Learning and Inference in Latent Variable Graphical Models.” 2016. Web. 25 Mar 2019.

Vancouver:

Ping W. Learning and Inference in Latent Variable Graphical Models. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Mar 25]. Available from: http://www.escholarship.org/uc/item/7q90z4b5.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ping W. Learning and Inference in Latent Variable Graphical Models. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/7q90z4b5

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

7. Princz, Daniel. The CRANE Framework for Simulation Model Workflows.

Degree: 2016, University of Waterloo

 CRANE is presented as a flexible framework for linking simulation models and model support tools to form integrated modelling systems for engineering and scientific applications,… (more)

Subjects/Keywords: model calibration; parameter estimation; graphical user interface; simulation model workflow; model-independent software

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Princz, D. (2016). The CRANE Framework for Simulation Model Workflows. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10230

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Princz, Daniel. “The CRANE Framework for Simulation Model Workflows.” 2016. Thesis, University of Waterloo. Accessed March 25, 2019. http://hdl.handle.net/10012/10230.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Princz, Daniel. “The CRANE Framework for Simulation Model Workflows.” 2016. Web. 25 Mar 2019.

Vancouver:

Princz D. The CRANE Framework for Simulation Model Workflows. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10012/10230.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Princz D. The CRANE Framework for Simulation Model Workflows. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10230

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Alberta

8. Eastman, Thomas. A disease classifier for metabolic profiles based on metabolic pathway knowledge.

Degree: MS, Department of Computing Science, 2010, University of Alberta

 This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the… (more)

Subjects/Keywords: metabolic profile; cachexia; graphical model; machine learning; metabolic pathway

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Eastman, T. (2010). A disease classifier for metabolic profiles based on metabolic pathway knowledge. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/fx719n29m

Chicago Manual of Style (16th Edition):

Eastman, Thomas. “A disease classifier for metabolic profiles based on metabolic pathway knowledge.” 2010. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/fx719n29m.

MLA Handbook (7th Edition):

Eastman, Thomas. “A disease classifier for metabolic profiles based on metabolic pathway knowledge.” 2010. Web. 25 Mar 2019.

Vancouver:

Eastman T. A disease classifier for metabolic profiles based on metabolic pathway knowledge. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/fx719n29m.

Council of Science Editors:

Eastman T. A disease classifier for metabolic profiles based on metabolic pathway knowledge. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/fx719n29m


University of Alberta

9. Zhu, Yunan. Estimating Sparse Graphical Models: Insights Through Simulation.

Degree: MS, Department of Mathematical and Statistical Sciences, 2015, University of Alberta

Graphical models are frequently used to explore networks among a set of variables. Several methods for estimating sparse graphs have been proposed and their theoretical… (more)

Subjects/Keywords: bootstrap; penalized log-likelihood; graphical model; glasso; estimate evaluation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhu, Y. (2015). Estimating Sparse Graphical Models: Insights Through Simulation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/4j03d241c

Chicago Manual of Style (16th Edition):

Zhu, Yunan. “Estimating Sparse Graphical Models: Insights Through Simulation.” 2015. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/4j03d241c.

MLA Handbook (7th Edition):

Zhu, Yunan. “Estimating Sparse Graphical Models: Insights Through Simulation.” 2015. Web. 25 Mar 2019.

Vancouver:

Zhu Y. Estimating Sparse Graphical Models: Insights Through Simulation. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/4j03d241c.

Council of Science Editors:

Zhu Y. Estimating Sparse Graphical Models: Insights Through Simulation. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/4j03d241c


University of Adelaide

10. Wang, Zhenhua. Markov random fields with unknown heterogeneous graphs.

Degree: 2014, University of Adelaide

 Markov Random Fields have been widely used in computer vision problems, for example image denoising, segmentation and human action recognition. The structure of the graph… (more)

Subjects/Keywords: structured learning; Probablistic Graphical Model; Markov Random Field; unknown graph

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, Z. (2014). Markov random fields with unknown heterogeneous graphs. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/98246

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Zhenhua. “Markov random fields with unknown heterogeneous graphs.” 2014. Thesis, University of Adelaide. Accessed March 25, 2019. http://hdl.handle.net/2440/98246.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Zhenhua. “Markov random fields with unknown heterogeneous graphs.” 2014. Web. 25 Mar 2019.

Vancouver:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Internet] [Thesis]. University of Adelaide; 2014. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2440/98246.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Thesis]. University of Adelaide; 2014. Available from: http://hdl.handle.net/2440/98246

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan Technological University

11. Shi, Lufeng. USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, Michigan Technological University

  Sensor networks have been an active research area in the past decade due to the variety of their applications. Many research studies have been… (more)

Subjects/Keywords: Graphical Model; Statistical Inference; Target Tracking; Wireless Sensor Network; Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shi, L. (2014). USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS. (Doctoral Dissertation). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etds/752

Chicago Manual of Style (16th Edition):

Shi, Lufeng. “USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS.” 2014. Doctoral Dissertation, Michigan Technological University. Accessed March 25, 2019. http://digitalcommons.mtu.edu/etds/752.

MLA Handbook (7th Edition):

Shi, Lufeng. “USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS.” 2014. Web. 25 Mar 2019.

Vancouver:

Shi L. USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS. [Internet] [Doctoral dissertation]. Michigan Technological University; 2014. [cited 2019 Mar 25]. Available from: http://digitalcommons.mtu.edu/etds/752.

Council of Science Editors:

Shi L. USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS. [Doctoral Dissertation]. Michigan Technological University; 2014. Available from: http://digitalcommons.mtu.edu/etds/752


Penn State University

12. Park, Minwoo. EFFICIENT MEAN-SHIFT BELIEF PROPAGATION.

Degree: PhD, Computer Science and Engineering, 2010, Penn State University

 Probabilistic graphical models (PGMs) are widely used in many areas of computer vision and machine learning. Since classic belief propagation is not suitable for a… (more)

Subjects/Keywords: MRF; Inference; Graphical Model; Belief Propagation; Computer Vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Park, M. (2010). EFFICIENT MEAN-SHIFT BELIEF PROPAGATION. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11156

Chicago Manual of Style (16th Edition):

Park, Minwoo. “EFFICIENT MEAN-SHIFT BELIEF PROPAGATION.” 2010. Doctoral Dissertation, Penn State University. Accessed March 25, 2019. https://etda.libraries.psu.edu/catalog/11156.

MLA Handbook (7th Edition):

Park, Minwoo. “EFFICIENT MEAN-SHIFT BELIEF PROPAGATION.” 2010. Web. 25 Mar 2019.

Vancouver:

Park M. EFFICIENT MEAN-SHIFT BELIEF PROPAGATION. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Mar 25]. Available from: https://etda.libraries.psu.edu/catalog/11156.

Council of Science Editors:

Park M. EFFICIENT MEAN-SHIFT BELIEF PROPAGATION. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11156


University of Georgia

13. Sulek, Thaddeus Robert. An application of graphical models to fMRI data using the lasso penalty.

Degree: MS, Statistics, 2017, University of Georgia

 In this thesis, we study the graphical lasso method and apply it to functional magnetic resonance imaging (fMRI) data. The graphical lasso method enables one… (more)

Subjects/Keywords: Functional Magnetic Resonance Imaging Data; Graphical Model; Lasso; Regions of Interest

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sulek, T. R. (2017). An application of graphical models to fMRI data using the lasso penalty. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37188

Chicago Manual of Style (16th Edition):

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Masters Thesis, University of Georgia. Accessed March 25, 2019. http://hdl.handle.net/10724/37188.

MLA Handbook (7th Edition):

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Web. 25 Mar 2019.

Vancouver:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10724/37188.

Council of Science Editors:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37188


University of Georgia

14. Sulek, Thaddeus Robert. An application of graphical models to fMRI data using the lasso penalty.

Degree: MS, Statistics, 2017, University of Georgia

 In this thesis, we study the graphical lasso method and apply it to functional magnetic resonance imaging (fMRI) data. The graphical lasso method enables one… (more)

Subjects/Keywords: Functional Magnetic Resonance Imaging Data; Graphical Model; Lasso; Regions of Interest

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sulek, T. R. (2017). An application of graphical models to fMRI data using the lasso penalty. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37031

Chicago Manual of Style (16th Edition):

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Masters Thesis, University of Georgia. Accessed March 25, 2019. http://hdl.handle.net/10724/37031.

MLA Handbook (7th Edition):

Sulek, Thaddeus Robert. “An application of graphical models to fMRI data using the lasso penalty.” 2017. Web. 25 Mar 2019.

Vancouver:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10724/37031.

Council of Science Editors:

Sulek TR. An application of graphical models to fMRI data using the lasso penalty. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37031


Carnegie Mellon University

15. Wytock, Matt. Optimizing Optimization: Scalable Convex Programming with Proximal Operators.

Degree: 2016, Carnegie Mellon University

 Convex optimization has developed a wide variety of useful tools critical to many applications in machine learning. However, unlike linear and quadratic programming, general convex… (more)

Subjects/Keywords: convex optimization; proximal operator; operator splitting; Newton method; sparsity; graphical model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wytock, M. (2016). Optimizing Optimization: Scalable Convex Programming with Proximal Operators. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/785

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wytock, Matt. “Optimizing Optimization: Scalable Convex Programming with Proximal Operators.” 2016. Thesis, Carnegie Mellon University. Accessed March 25, 2019. http://repository.cmu.edu/dissertations/785.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wytock, Matt. “Optimizing Optimization: Scalable Convex Programming with Proximal Operators.” 2016. Web. 25 Mar 2019.

Vancouver:

Wytock M. Optimizing Optimization: Scalable Convex Programming with Proximal Operators. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2019 Mar 25]. Available from: http://repository.cmu.edu/dissertations/785.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wytock M. Optimizing Optimization: Scalable Convex Programming with Proximal Operators. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/785

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Berkeley

16. Kao, Wei-Chun. Algorithms for Next-Generation High-Throughput Sequencing Technologies.

Degree: Electrical Engineering & Computer Sciences, 2011, University of California – Berkeley

 Recent advances of DNA sequencing technologies are allowingresearchers to generateimmense amounts of data in a fast and cost effective fashion, enablinggenome-wide association study and populationgenetic… (more)

Subjects/Keywords: Computer science; Bioinformatics; Graphical Model; Illumina; Sequencing; Signal processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kao, W. (2011). Algorithms for Next-Generation High-Throughput Sequencing Technologies. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/86b9c87d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kao, Wei-Chun. “Algorithms for Next-Generation High-Throughput Sequencing Technologies.” 2011. Thesis, University of California – Berkeley. Accessed March 25, 2019. http://www.escholarship.org/uc/item/86b9c87d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kao, Wei-Chun. “Algorithms for Next-Generation High-Throughput Sequencing Technologies.” 2011. Web. 25 Mar 2019.

Vancouver:

Kao W. Algorithms for Next-Generation High-Throughput Sequencing Technologies. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Mar 25]. Available from: http://www.escholarship.org/uc/item/86b9c87d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kao W. Algorithms for Next-Generation High-Throughput Sequencing Technologies. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/86b9c87d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

17. Li, Zehang. Bayesian Methods for Graphical Models with Limited Data.

Degree: PhD, 2018, University of Washington

 Scientific studies in many fields involve understanding and characterizing dependence relationships among large numbers of variables. This can be challenging in settings where data is… (more)

Subjects/Keywords: Bayesian methods; Graphical model; Spike-and-slab; Verbal Autopsy; Statistics; Statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, Z. (2018). Bayesian Methods for Graphical Models with Limited Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43158

Chicago Manual of Style (16th Edition):

Li, Zehang. “Bayesian Methods for Graphical Models with Limited Data.” 2018. Doctoral Dissertation, University of Washington. Accessed March 25, 2019. http://hdl.handle.net/1773/43158.

MLA Handbook (7th Edition):

Li, Zehang. “Bayesian Methods for Graphical Models with Limited Data.” 2018. Web. 25 Mar 2019.

Vancouver:

Li Z. Bayesian Methods for Graphical Models with Limited Data. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1773/43158.

Council of Science Editors:

Li Z. Bayesian Methods for Graphical Models with Limited Data. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43158


University of Cambridge

18. Pacini, Clare. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.

Degree: PhD, 2017, University of Cambridge

 Modelling interactions between genes and their regulators is fundamental to understanding how, for example a disease progresses, or the impact of inserting a synthetic circuit… (more)

Subjects/Keywords: Gaussian graphical model; Regulatory network; Small sample sizes

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pacini, C. (2017). Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325

Chicago Manual of Style (16th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.” 2017. Doctoral Dissertation, University of Cambridge. Accessed March 25, 2019. https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325.

MLA Handbook (7th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.” 2017. Web. 25 Mar 2019.

Vancouver:

Pacini C. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2019 Mar 25]. Available from: https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325.

Council of Science Editors:

Pacini C. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/269711 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325


Oklahoma State University

19. Ding, Yi. Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

 With the development of multimedia and internet technologies, there is a growing interest in video mining research that is to discover knowledge existing in the… (more)

Subjects/Keywords: discriminative; generative; graphical model; machine learning; sports video; video mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ding, Y. (2010). Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/7854

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ding, Yi. “Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches.” 2010. Thesis, Oklahoma State University. Accessed March 25, 2019. http://hdl.handle.net/11244/7854.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ding, Yi. “Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches.” 2010. Web. 25 Mar 2019.

Vancouver:

Ding Y. Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11244/7854.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ding Y. Probabilistic Graphic Models for Sports Video Mining: Hybrid Generative-discriminative Approaches. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/7854

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cambridge

20. Pacini, Clare. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii .

Degree: 2017, University of Cambridge

 Modelling interactions between genes and their regulators is fundamental to understanding how, for example a disease progresses, or the impact of inserting a synthetic circuit… (more)

Subjects/Keywords: Gaussian graphical model; Regulatory network; Small sample sizes

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pacini, C. (2017). Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/269711

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii .” 2017. Thesis, University of Cambridge. Accessed March 25, 2019. https://www.repository.cam.ac.uk/handle/1810/269711.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii .” 2017. Web. 25 Mar 2019.

Vancouver:

Pacini C. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii . [Internet] [Thesis]. University of Cambridge; 2017. [cited 2019 Mar 25]. Available from: https://www.repository.cam.ac.uk/handle/1810/269711.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pacini C. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii . [Thesis]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/269711

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

21. Yeo, Alexia. COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS.

Degree: 2018, University of Toronto

Portfolio optimization aims to find the optimal investment strategy for a series of assets that results in a minimization of the portfolio's variance. Real life… (more)

Subjects/Keywords: Mixed Integer Programming; Portfolio Optimization; Probabilistic Graphical Model; 0796

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yeo, A. (2018). COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/89580

Chicago Manual of Style (16th Edition):

Yeo, Alexia. “COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS.” 2018. Masters Thesis, University of Toronto. Accessed March 25, 2019. http://hdl.handle.net/1807/89580.

MLA Handbook (7th Edition):

Yeo, Alexia. “COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS.” 2018. Web. 25 Mar 2019.

Vancouver:

Yeo A. COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1807/89580.

Council of Science Editors:

Yeo A. COMBINATORIALLY CONSTRAINED PORTFOLIO OPTIMIZATION USING MESSAGE PASSING ALGORITHMS. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/89580


ETH Zürich

22. Perković, Emilija. Graphical characterizations of adjustment sets.

Degree: 2018, ETH Zürich

Subjects/Keywords: Causal inference; Graphical model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Perković, E. (2018). Graphical characterizations of adjustment sets. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/281392

Chicago Manual of Style (16th Edition):

Perković, Emilija. “Graphical characterizations of adjustment sets.” 2018. Doctoral Dissertation, ETH Zürich. Accessed March 25, 2019. http://hdl.handle.net/20.500.11850/281392.

MLA Handbook (7th Edition):

Perković, Emilija. “Graphical characterizations of adjustment sets.” 2018. Web. 25 Mar 2019.

Vancouver:

Perković E. Graphical characterizations of adjustment sets. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/20.500.11850/281392.

Council of Science Editors:

Perković E. Graphical characterizations of adjustment sets. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/281392


University of Minnesota

23. Fu, Qiang. Efficient inference algorithms for some probabilistic graphical models.

Degree: PhD, Computer science, 2014, University of Minnesota

 The probabilistic graphical model framework provides an essential tool to reason coherently from limited and noisy observations. The framework has been used in an enormous… (more)

Subjects/Keywords: Bayesian network; Graphical model; MAP inference; Markov random field; Overlapping; Clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fu, Q. (2014). Efficient inference algorithms for some probabilistic graphical models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162960

Chicago Manual of Style (16th Edition):

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 25, 2019. http://hdl.handle.net/11299/162960.

MLA Handbook (7th Edition):

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Web. 25 Mar 2019.

Vancouver:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11299/162960.

Council of Science Editors:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/162960


Virginia Tech

24. Shan, Liang. Joint Gaussian Graphical Model for multi-class and multi-level data.

Degree: PhD, Statistics, 2016, Virginia Tech

 Gaussian graphical model has been a popular tool to investigate conditional dependency between random variables by estimating sparse precision matrices. The estimated precision matrices could… (more)

Subjects/Keywords: Bias Correction; Gaussian graphical model; Heterogeneous classes; Joint adaptive graphical lasso; Joint estimation; Multilevel network; Precision matrix; Unbalanced multi-class.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shan, L. (2016). Joint Gaussian Graphical Model for multi-class and multi-level data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81412

Chicago Manual of Style (16th Edition):

Shan, Liang. “Joint Gaussian Graphical Model for multi-class and multi-level data.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 25, 2019. http://hdl.handle.net/10919/81412.

MLA Handbook (7th Edition):

Shan, Liang. “Joint Gaussian Graphical Model for multi-class and multi-level data.” 2016. Web. 25 Mar 2019.

Vancouver:

Shan L. Joint Gaussian Graphical Model for multi-class and multi-level data. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10919/81412.

Council of Science Editors:

Shan L. Joint Gaussian Graphical Model for multi-class and multi-level data. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81412


University of Washington

25. Zheng, Jinyang. Understanding Online Two-sided Market: An Empirical Perspective.

Degree: PhD, 2017, University of Washington

 This dissertation provides a comprehensive investigation of online two-sided markets from empirical perspective. The four essays included propose research questions from four different angles and… (more)

Subjects/Keywords: Graphical model; Online two-sided market; Structural model; Information technology; Business administration; To Be Assigned

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zheng, J. (2017). Understanding Online Two-sided Market: An Empirical Perspective. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40451

Chicago Manual of Style (16th Edition):

Zheng, Jinyang. “Understanding Online Two-sided Market: An Empirical Perspective.” 2017. Doctoral Dissertation, University of Washington. Accessed March 25, 2019. http://hdl.handle.net/1773/40451.

MLA Handbook (7th Edition):

Zheng, Jinyang. “Understanding Online Two-sided Market: An Empirical Perspective.” 2017. Web. 25 Mar 2019.

Vancouver:

Zheng J. Understanding Online Two-sided Market: An Empirical Perspective. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1773/40451.

Council of Science Editors:

Zheng J. Understanding Online Two-sided Market: An Empirical Perspective. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40451


University of Washington

26. McDavid, Andrew. Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling.

Degree: PhD, 2016, University of Washington

 This dissertation describes a set of statistical methods developed for analysis of single cell gene expression. A characteristic of single cell expression is bimodal expression,… (more)

Subjects/Keywords: gene expression; graphical model; hurdle model; RNA sequencing; single cell; zero-inflated; Biostatistics; statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

McDavid, A. (2016). Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/36846

Chicago Manual of Style (16th Edition):

McDavid, Andrew. “Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling.” 2016. Doctoral Dissertation, University of Washington. Accessed March 25, 2019. http://hdl.handle.net/1773/36846.

MLA Handbook (7th Edition):

McDavid, Andrew. “Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling.” 2016. Web. 25 Mar 2019.

Vancouver:

McDavid A. Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1773/36846.

Council of Science Editors:

McDavid A. Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36846


University of Minnesota

27. Xue, Lingzhou. Regularized Learning of High-dimensional Sparse Graphical Models.

Degree: PhD, 2012, University of Minnesota

 High-dimensional graphical models are important tools for characterizing complex interactions within a large-scale system. In this thesis, our emphasis is to utilize the increasingly popular… (more)

Subjects/Keywords: Composite Likelihood; Gaussian Copula; High-dimensional Graphical Model; Ising Model; Nonparametric Correlation; Regularization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Xue, L. (2012). Regularized Learning of High-dimensional Sparse Graphical Models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165775

Chicago Manual of Style (16th Edition):

Xue, Lingzhou. “Regularized Learning of High-dimensional Sparse Graphical Models.” 2012. Doctoral Dissertation, University of Minnesota. Accessed March 25, 2019. http://hdl.handle.net/11299/165775.

MLA Handbook (7th Edition):

Xue, Lingzhou. “Regularized Learning of High-dimensional Sparse Graphical Models.” 2012. Web. 25 Mar 2019.

Vancouver:

Xue L. Regularized Learning of High-dimensional Sparse Graphical Models. [Internet] [Doctoral dissertation]. University of Minnesota; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11299/165775.

Council of Science Editors:

Xue L. Regularized Learning of High-dimensional Sparse Graphical Models. [Doctoral Dissertation]. University of Minnesota; 2012. Available from: http://hdl.handle.net/11299/165775


Brno University of Technology

28. Hraboš, Martin. Simulátor robotického pracoviště .

Degree: 2013, Brno University of Technology

 Tato práce se zabýva návrhem a implementací aplikace pro simulaci robotického ramene. Jedná se o skutečný model robota, který je umístněný ve Fakulte informačních technologií… (more)

Subjects/Keywords: simulace; robotika; model; grafické rozhraní; OpenRAVE; Qt; simulation; robotics; model; graphical interface; OpenRAVE; Qt

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hraboš, M. (2013). Simulátor robotického pracoviště . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hraboš, Martin. “Simulátor robotického pracoviště .” 2013. Thesis, Brno University of Technology. Accessed March 25, 2019. http://hdl.handle.net/11012/54934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hraboš, Martin. “Simulátor robotického pracoviště .” 2013. Web. 25 Mar 2019.

Vancouver:

Hraboš M. Simulátor robotického pracoviště . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/11012/54934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hraboš M. Simulátor robotického pracoviště . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/54934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

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

Degree: 2012, Texas A&M University

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed March 25, 2019. http://hdl.handle.net/1969.1/148056.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 25 Mar 2019.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1969.1/148056.

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

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade de Brasília

30. Rodrigo Carvalho. Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado.

Degree: 2007, Universidade de Brasília

O geoprocessamento é uma ferramenta de enorme aplicabilidade na pesquisa agropecuária. Modelos gráficos que permitem a identificação de áreas degradadas com rapidez são úteis para… (more)

Subjects/Keywords: soil; CIENCIAS AGRARIAS; geoprocessing; tropical savanna; modelo gráfico; degradação do solo; geoprocessamento; pastures; graphical model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Carvalho, R. (2007). Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado. (Thesis). Universidade de Brasília. Retrieved from http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Carvalho, Rodrigo. “Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado.” 2007. Thesis, Universidade de Brasília. Accessed March 25, 2019. http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Carvalho, Rodrigo. “Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado.” 2007. Web. 25 Mar 2019.

Vancouver:

Carvalho R. Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado. [Internet] [Thesis]. Universidade de Brasília; 2007. [cited 2019 Mar 25]. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Carvalho R. Níveis de cobertura vegetal e qualidade do solo sob pastagem em áreas de cerrado. [Thesis]. Universidade de Brasília; 2007. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2553

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2] [3] [4] [5]

.