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151 total matches.

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- 2005 – 2009 (31)

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1. Nunkesser, Robin. Algorithms for regression and classification.

Degree: 2009, Technische Universität Dortmund

URL: http://hdl.handle.net/2003/26047

► Regression and classification are statistical techniques that may be used to extract rules and patterns out of data sets. Analyzing the involved algorithms comprises interdisciplinary…
(more)

Subjects/Keywords: Association studies; Computational statistics; Robust regression; 004

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

APA (6^{th} Edition):

Nunkesser, R. (2009). Algorithms for regression and classification. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/26047

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):

Nunkesser, Robin. “Algorithms for regression and classification.” 2009. Thesis, Technische Universität Dortmund. Accessed August 22, 2019. http://hdl.handle.net/2003/26047.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nunkesser, Robin. “Algorithms for regression and classification.” 2009. Web. 22 Aug 2019.

Vancouver:

Nunkesser R. Algorithms for regression and classification. [Internet] [Thesis]. Technische Universität Dortmund; 2009. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2003/26047.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nunkesser R. Algorithms for regression and classification. [Thesis]. Technische Universität Dortmund; 2009. Available from: http://hdl.handle.net/2003/26047

Not specified: Masters Thesis or Doctoral Dissertation

Youngstown State University

2. Khavari, Sepideh. Predicting Human and Animal Protein Subcellular Location.

Degree: MSin Mathematics, Department of Mathematics and Statistics, 2016, Youngstown State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1472463855

► An important objective in cell biology is to determine the subcellular location of different proteins and their functions in the cell. Identifying the subcellular location…
(more)

Subjects/Keywords: Biology; Statistics; Protein; Subcellular location; Computational predictors

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APA (6^{th} Edition):

Khavari, S. (2016). Predicting Human and Animal Protein Subcellular Location. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1472463855

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

Khavari, Sepideh. “Predicting Human and Animal Protein Subcellular Location.” 2016. Masters Thesis, Youngstown State University. Accessed August 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1472463855.

MLA Handbook (7^{th} Edition):

Khavari, Sepideh. “Predicting Human and Animal Protein Subcellular Location.” 2016. Web. 22 Aug 2019.

Vancouver:

Khavari S. Predicting Human and Animal Protein Subcellular Location. [Internet] [Masters thesis]. Youngstown State University; 2016. [cited 2019 Aug 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1472463855.

Council of Science Editors:

Khavari S. Predicting Human and Animal Protein Subcellular Location. [Masters Thesis]. Youngstown State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1472463855

Montana State University

3. Sturlaugson, Liessman Eric. Extensions to modeling and inference in continuous time Bayesian networks.

Degree: College of Engineering, 2014, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/9368

► The continuous time Bayesian network (CTBN) enables reasoning about complex systems in continuous time by representing a system as a factored, finite-state, continuous-time Markov process.…
(more)

Subjects/Keywords: Markov processes.; Computational complexity.; Graphical modeling (Statistics).

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APA (6^{th} Edition):

Sturlaugson, L. E. (2014). Extensions to modeling and inference in continuous time Bayesian networks. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9368

Not specified: Masters Thesis or Doctoral Dissertation

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

Sturlaugson, Liessman Eric. “Extensions to modeling and inference in continuous time Bayesian networks.” 2014. Thesis, Montana State University. Accessed August 22, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9368.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sturlaugson, Liessman Eric. “Extensions to modeling and inference in continuous time Bayesian networks.” 2014. Web. 22 Aug 2019.

Vancouver:

Sturlaugson LE. Extensions to modeling and inference in continuous time Bayesian networks. [Internet] [Thesis]. Montana State University; 2014. [cited 2019 Aug 22]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9368.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sturlaugson LE. Extensions to modeling and inference in continuous time Bayesian networks. [Thesis]. Montana State University; 2014. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9368

Not specified: Masters Thesis or Doctoral Dissertation

Massey University

4. Anwar, Muhammad Nafees. Complexity measurement for dealing with class imbalance problems in classification modelling : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Massey University, 2012 .

Degree: 2012, Massey University

URL: http://hdl.handle.net/10179/4287

► The class imbalance problem is a challenge in the statistical, machine learn- ing and data mining domains. Examples include fraud/intrusion detection, medical diagnosis/monitoring, bioinformatics, text…
(more)

Subjects/Keywords: Computational complexity; Class imbalance; Classification; Sampling; Statistics

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APA (6^{th} Edition):

Anwar, M. N. (2012). Complexity measurement for dealing with class imbalance problems in classification modelling : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Massey University, 2012 . (Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/4287

Not specified: Masters Thesis or Doctoral Dissertation

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

Anwar, Muhammad Nafees. “Complexity measurement for dealing with class imbalance problems in classification modelling : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Massey University, 2012 .” 2012. Thesis, Massey University. Accessed August 22, 2019. http://hdl.handle.net/10179/4287.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Anwar, Muhammad Nafees. “Complexity measurement for dealing with class imbalance problems in classification modelling : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Massey University, 2012 .” 2012. Web. 22 Aug 2019.

Vancouver:

Anwar MN. Complexity measurement for dealing with class imbalance problems in classification modelling : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Massey University, 2012 . [Internet] [Thesis]. Massey University; 2012. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/10179/4287.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anwar MN. Complexity measurement for dealing with class imbalance problems in classification modelling : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Massey University, 2012 . [Thesis]. Massey University; 2012. Available from: http://hdl.handle.net/10179/4287

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

5. Zawack, Kelson. A COMPREHENSIVE ANALYSIS OF THE UNITED STATES' NATIONAL ANTIMICROBIAL RESISTANCE MONITERING SYSTEM .

Degree: 2017, Cornell University

URL: http://hdl.handle.net/1813/51621

► Surveillance is a key component of controlling antimicrobial resistance. In the United States this function is carried out by the National Antimicrobial Monitoring System. This…
(more)

Subjects/Keywords: Computational Biology; Epidemiology; Statistics; Antimicrobial Resistance

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APA (6^{th} Edition):

Zawack, K. (2017). A COMPREHENSIVE ANALYSIS OF THE UNITED STATES' NATIONAL ANTIMICROBIAL RESISTANCE MONITERING SYSTEM . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/51621

Not specified: Masters Thesis or Doctoral Dissertation

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

Zawack, Kelson. “A COMPREHENSIVE ANALYSIS OF THE UNITED STATES' NATIONAL ANTIMICROBIAL RESISTANCE MONITERING SYSTEM .” 2017. Thesis, Cornell University. Accessed August 22, 2019. http://hdl.handle.net/1813/51621.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zawack, Kelson. “A COMPREHENSIVE ANALYSIS OF THE UNITED STATES' NATIONAL ANTIMICROBIAL RESISTANCE MONITERING SYSTEM .” 2017. Web. 22 Aug 2019.

Vancouver:

Zawack K. A COMPREHENSIVE ANALYSIS OF THE UNITED STATES' NATIONAL ANTIMICROBIAL RESISTANCE MONITERING SYSTEM . [Internet] [Thesis]. Cornell University; 2017. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1813/51621.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zawack K. A COMPREHENSIVE ANALYSIS OF THE UNITED STATES' NATIONAL ANTIMICROBIAL RESISTANCE MONITERING SYSTEM . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/51621

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

6. Greenaway, Mark Jonathan. Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection .

Degree: 2019, University of Sydney

URL: http://hdl.handle.net/2123/20233

► Approximate Bayesian inference methods offer methodology for fitting Bayesian models as fast alternatives to Markov Chain Monte Carlo methods that sometimes have only a slight…
(more)

Subjects/Keywords: variational approximations; model selection; computational statistics

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APA (6^{th} Edition):

Greenaway, M. J. (2019). Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20233

Not specified: Masters Thesis or Doctoral Dissertation

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

Greenaway, Mark Jonathan. “Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection .” 2019. Thesis, University of Sydney. Accessed August 22, 2019. http://hdl.handle.net/2123/20233.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Greenaway, Mark Jonathan. “Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection .” 2019. Web. 22 Aug 2019.

Vancouver:

Greenaway MJ. Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection . [Internet] [Thesis]. University of Sydney; 2019. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2123/20233.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Greenaway MJ. Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection . [Thesis]. University of Sydney; 2019. Available from: http://hdl.handle.net/2123/20233

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

7. Bouchard-Côté, Alexandre. Probabilistic Models of Evolution and Language Change.

Degree: Computer Science, 2010, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/3593s5m7

► Both linguistics and biology face scientific questions that require reconstructing phylogenies and ancestral sequences from a collection of modern descendants. In linguistics, these ancestral sequences…
(more)

Subjects/Keywords: Computer science; Statistics; Artificial intelligence; Computational biology; Computational linguistics; Historical linguistics; Inference; Machine learning; Phylogenetics

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APA (6^{th} Edition):

Bouchard-Côté, A. (2010). Probabilistic Models of Evolution and Language Change. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3593s5m7

Not specified: Masters Thesis or Doctoral Dissertation

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

Bouchard-Côté, Alexandre. “Probabilistic Models of Evolution and Language Change.” 2010. Thesis, University of California – Berkeley. Accessed August 22, 2019. http://www.escholarship.org/uc/item/3593s5m7.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bouchard-Côté, Alexandre. “Probabilistic Models of Evolution and Language Change.” 2010. Web. 22 Aug 2019.

Vancouver:

Bouchard-Côté A. Probabilistic Models of Evolution and Language Change. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Aug 22]. Available from: http://www.escholarship.org/uc/item/3593s5m7.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bouchard-Côté A. Probabilistic Models of Evolution and Language Change. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/3593s5m7

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

8.
Mousavi, Ali.
Data-Driven *Computational* Sensing.

Degree: PhD, Engineering, 2018, Rice University

URL: http://hdl.handle.net/1911/105779

► Great progress has been made on sensing, perception, and signal processing over the last decades through the design of algorithms matched to the underlying physics…
(more)

Subjects/Keywords: Computational Sensing; Deep Learning; Machine Learning; Statistics; Inverse Problem; LASSO; Computational Imaging

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APA (6^{th} Edition):

Mousavi, A. (2018). Data-Driven Computational Sensing. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105779

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

Mousavi, Ali. “Data-Driven Computational Sensing.” 2018. Doctoral Dissertation, Rice University. Accessed August 22, 2019. http://hdl.handle.net/1911/105779.

MLA Handbook (7^{th} Edition):

Mousavi, Ali. “Data-Driven Computational Sensing.” 2018. Web. 22 Aug 2019.

Vancouver:

Mousavi A. Data-Driven Computational Sensing. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1911/105779.

Council of Science Editors:

Mousavi A. Data-Driven Computational Sensing. [Doctoral Dissertation]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105779

Duke University

9.
Wang, Bei.
Separating Features from Noise with Persistence and * Statistics*
.

Degree: 2010, Duke University

URL: http://hdl.handle.net/10161/2982

► In this thesis, we explore techniques in *statistics* and persistent homology, which detect features among data sets such as graphs, triangulations and point cloud.…
(more)

Subjects/Keywords: Computer Science; Theoretical Mathematics; Statistics; clustering; computational geometry; computational topology; persistence homology; spatial scan statistics; stratification

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APA (6^{th} Edition):

Wang, B. (2010). Separating Features from Noise with Persistence and Statistics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/2982

Not specified: Masters Thesis or Doctoral Dissertation

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

Wang, Bei. “Separating Features from Noise with Persistence and Statistics .” 2010. Thesis, Duke University. Accessed August 22, 2019. http://hdl.handle.net/10161/2982.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Bei. “Separating Features from Noise with Persistence and Statistics .” 2010. Web. 22 Aug 2019.

Vancouver:

Wang B. Separating Features from Noise with Persistence and Statistics . [Internet] [Thesis]. Duke University; 2010. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/10161/2982.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang B. Separating Features from Noise with Persistence and Statistics . [Thesis]. Duke University; 2010. Available from: http://hdl.handle.net/10161/2982

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

10. Bloniarz, Adam. Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics.

Degree: Statistics, 2016, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/32f0g2w9

► Many scientific fields have been changed by rapid technological progress in data collection, storage, and processing. This has greatly expanded the role of *statistics* in…
(more)

Subjects/Keywords: Statistics; Neurosciences; Biostatistics; Causal inference; Computational Neuroscience; Distributed computation; High-dimensional statistics

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APA (6^{th} Edition):

Bloniarz, A. (2016). Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/32f0g2w9

Not specified: Masters Thesis or Doctoral Dissertation

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

Bloniarz, Adam. “Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics.” 2016. Thesis, University of California – Berkeley. Accessed August 22, 2019. http://www.escholarship.org/uc/item/32f0g2w9.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bloniarz, Adam. “Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics.” 2016. Web. 22 Aug 2019.

Vancouver:

Bloniarz A. Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2019 Aug 22]. Available from: http://www.escholarship.org/uc/item/32f0g2w9.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bloniarz A. Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/32f0g2w9

Not specified: Masters Thesis or Doctoral Dissertation

Duke University

11. Marion, Joseph. Finite Sample Bounds and Path Selection for Sequential Monte Carlo .

Degree: 2018, Duke University

URL: http://hdl.handle.net/10161/17515

► Sequential Monte Carlo (SMC) samplers have received attention as an alternative to Markov chain Monte Carlo for Bayesian inference problems due to their strong…
(more)

Subjects/Keywords: Statistics; Bayesian Statistics; Computational Completity; Finite Sample Bounds; Path Sampling; Path Selection; Sequential Monte Carlo

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APA (6^{th} Edition):

Marion, J. (2018). Finite Sample Bounds and Path Selection for Sequential Monte Carlo . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/17515

Not specified: Masters Thesis or Doctoral Dissertation

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

Marion, Joseph. “Finite Sample Bounds and Path Selection for Sequential Monte Carlo .” 2018. Thesis, Duke University. Accessed August 22, 2019. http://hdl.handle.net/10161/17515.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Marion, Joseph. “Finite Sample Bounds and Path Selection for Sequential Monte Carlo .” 2018. Web. 22 Aug 2019.

Vancouver:

Marion J. Finite Sample Bounds and Path Selection for Sequential Monte Carlo . [Internet] [Thesis]. Duke University; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/10161/17515.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marion J. Finite Sample Bounds and Path Selection for Sequential Monte Carlo . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/17515

Not specified: Masters Thesis or Doctoral Dissertation

Utah State University

12.
Apedaile, Thomas J.
* Computational* Topics in Lie Theory and Representation Theory.

Degree: MS, Mathematics and Statistics, 2014, Utah State University

URL: https://digitalcommons.usu.edu/etd/2156

► The computer algebra system Maple contains a basic set of commands for working with Lie algebras. The purpose of this thesis was to extend…
(more)

Subjects/Keywords: Computational; Theory; Lie; Representation; Theory; Applied Statistics; Physical Sciences and Mathematics; Statistics and Probability

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APA (6^{th} Edition):

Apedaile, T. J. (2014). Computational Topics in Lie Theory and Representation Theory. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/2156

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

Apedaile, Thomas J. “Computational Topics in Lie Theory and Representation Theory.” 2014. Masters Thesis, Utah State University. Accessed August 22, 2019. https://digitalcommons.usu.edu/etd/2156.

MLA Handbook (7^{th} Edition):

Apedaile, Thomas J. “Computational Topics in Lie Theory and Representation Theory.” 2014. Web. 22 Aug 2019.

Vancouver:

Apedaile TJ. Computational Topics in Lie Theory and Representation Theory. [Internet] [Masters thesis]. Utah State University; 2014. [cited 2019 Aug 22]. Available from: https://digitalcommons.usu.edu/etd/2156.

Council of Science Editors:

Apedaile TJ. Computational Topics in Lie Theory and Representation Theory. [Masters Thesis]. Utah State University; 2014. Available from: https://digitalcommons.usu.edu/etd/2156

UCLA

13. Yeung, Fiona. Statistical Revealed Preference Models for Bipartite Networks.

Degree: Statistics, 2019, UCLA

URL: http://www.escholarship.org/uc/item/0fm6h8gm

► This dissertation focuses on investigating the driving factors behind the formation of connections in large two-mode networks. Assuming that network participants maximize their benefits, or…
(more)

Subjects/Keywords: Statistics; Economics; bipartite networks; computational statistics; discrete choice models; econometrics; game theory; matching theory

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APA (6^{th} Edition):

Yeung, F. (2019). Statistical Revealed Preference Models for Bipartite Networks. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0fm6h8gm

Not specified: Masters Thesis or Doctoral Dissertation

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

Yeung, Fiona. “Statistical Revealed Preference Models for Bipartite Networks.” 2019. Thesis, UCLA. Accessed August 22, 2019. http://www.escholarship.org/uc/item/0fm6h8gm.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yeung, Fiona. “Statistical Revealed Preference Models for Bipartite Networks.” 2019. Web. 22 Aug 2019.

Vancouver:

Yeung F. Statistical Revealed Preference Models for Bipartite Networks. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Aug 22]. Available from: http://www.escholarship.org/uc/item/0fm6h8gm.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yeung F. Statistical Revealed Preference Models for Bipartite Networks. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/0fm6h8gm

Not specified: Masters Thesis or Doctoral Dissertation

McMaster University

14. Blostein, Martin. An Efficient Implementation of a Robust Clustering Algorithm.

Degree: MSc, 2016, McMaster University

URL: http://hdl.handle.net/11375/20598

►

Clustering and classification are fundamental problems in statistical and machine learning, with a broad range of applications. A common approach is the Gaussian mixture model,… (more)

Subjects/Keywords: clustering; classification; statistical learning; machine learning; robust; computational statistics; mixture models

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APA (6^{th} Edition):

Blostein, M. (2016). An Efficient Implementation of a Robust Clustering Algorithm. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20598

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

Blostein, Martin. “An Efficient Implementation of a Robust Clustering Algorithm.” 2016. Masters Thesis, McMaster University. Accessed August 22, 2019. http://hdl.handle.net/11375/20598.

MLA Handbook (7^{th} Edition):

Blostein, Martin. “An Efficient Implementation of a Robust Clustering Algorithm.” 2016. Web. 22 Aug 2019.

Vancouver:

Blostein M. An Efficient Implementation of a Robust Clustering Algorithm. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/11375/20598.

Council of Science Editors:

Blostein M. An Efficient Implementation of a Robust Clustering Algorithm. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20598

Boston University

15. Deng, Xinyi. Point process modeling and estimation: advances in the analysis of dynamic neural spiking data.

Degree: PhD, Mathematics & Statistics, 2016, Boston University

URL: http://hdl.handle.net/2144/17719

► A common interest of scientists in many fields is to understand the relationship between the dynamics of a physical system and the occurrences of discrete…
(more)

Subjects/Keywords: Statistics; Computational neuroscience; Point processes; State-space models

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APA (6^{th} Edition):

Deng, X. (2016). Point process modeling and estimation: advances in the analysis of dynamic neural spiking data. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/17719

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

Deng, Xinyi. “Point process modeling and estimation: advances in the analysis of dynamic neural spiking data.” 2016. Doctoral Dissertation, Boston University. Accessed August 22, 2019. http://hdl.handle.net/2144/17719.

MLA Handbook (7^{th} Edition):

Deng, Xinyi. “Point process modeling and estimation: advances in the analysis of dynamic neural spiking data.” 2016. Web. 22 Aug 2019.

Vancouver:

Deng X. Point process modeling and estimation: advances in the analysis of dynamic neural spiking data. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2144/17719.

Council of Science Editors:

Deng X. Point process modeling and estimation: advances in the analysis of dynamic neural spiking data. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/17719

Cornell University

16. Nicholson, William. Tools For Modeling Sparse Vector Autoregressions .

Degree: 2016, Cornell University

URL: http://hdl.handle.net/1813/45382

Subjects/Keywords: Regularization; Time Series; Computational Statistics

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APA (6^{th} Edition):

Nicholson, W. (2016). Tools For Modeling Sparse Vector Autoregressions . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/45382

Not specified: Masters Thesis or Doctoral Dissertation

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

Nicholson, William. “Tools For Modeling Sparse Vector Autoregressions .” 2016. Thesis, Cornell University. Accessed August 22, 2019. http://hdl.handle.net/1813/45382.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nicholson, William. “Tools For Modeling Sparse Vector Autoregressions .” 2016. Web. 22 Aug 2019.

Vancouver:

Nicholson W. Tools For Modeling Sparse Vector Autoregressions . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1813/45382.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nicholson W. Tools For Modeling Sparse Vector Autoregressions . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/45382

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

17. Ravi, Sujith. Deciphering natural language.

Degree: PhD, Computer Science, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1788

► Most state-of-the-art techniques used in natural language processing (NLP) are supervised and require labeled training data. For example, statistical language translation requires huge amounts of…
(more)

Subjects/Keywords: natural language processing; machine learning; computational decipherment; artificial intelligence; statistics

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

APA (6^{th} Edition):

Ravi, S. (2011). Deciphering natural language. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1788

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

Ravi, Sujith. “Deciphering natural language.” 2011. Doctoral Dissertation, University of Southern California. Accessed August 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1788.

MLA Handbook (7^{th} Edition):

Ravi, Sujith. “Deciphering natural language.” 2011. Web. 22 Aug 2019.

Vancouver:

Ravi S. Deciphering natural language. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Aug 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1788.

Council of Science Editors:

Ravi S. Deciphering natural language. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/448537/rec/1788

University of North Texas

18. Krämer, Reiner. Algorithmic Music Analysis: a Case Study of a Prelude From David Cope’s “From Darkness, Light”.

Degree: 2015, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc801959/

► The use of algorithms in compositional practice has been in use for centuries. With the advent of computers, formalized procedures have become an important part…
(more)

Subjects/Keywords: Music theory; composition; algorithm; machine learning; computational music analysis; statistics

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

APA (6^{th} Edition):

Krämer, R. (2015). Algorithmic Music Analysis: a Case Study of a Prelude From David Cope’s “From Darkness, Light”. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc801959/

Not specified: Masters Thesis or Doctoral Dissertation

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

Krämer, Reiner. “Algorithmic Music Analysis: a Case Study of a Prelude From David Cope’s “From Darkness, Light”.” 2015. Thesis, University of North Texas. Accessed August 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc801959/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Krämer, Reiner. “Algorithmic Music Analysis: a Case Study of a Prelude From David Cope’s “From Darkness, Light”.” 2015. Web. 22 Aug 2019.

Vancouver:

Krämer R. Algorithmic Music Analysis: a Case Study of a Prelude From David Cope’s “From Darkness, Light”. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Aug 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc801959/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krämer R. Algorithmic Music Analysis: a Case Study of a Prelude From David Cope’s “From Darkness, Light”. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc801959/

Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

19. Wang, Hongyuan. Statistical Inference on Dynamical Systems.

Degree: 2016, University of Kentucky

URL: https://uknowledge.uky.edu/statistics_etds/22

► The ordinary differential equation (ODE) is one representative and popular tool in modeling dynamical systems, which are widely implemented in physics, biology, economics, chemistry and…
(more)

Subjects/Keywords: Dynamical System; ODE; Computational Statistics; EM Algorithm; Statistical Models

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

APA (6^{th} Edition):

Wang, H. (2016). Statistical Inference on Dynamical Systems. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/22

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

Wang, Hongyuan. “Statistical Inference on Dynamical Systems.” 2016. Doctoral Dissertation, University of Kentucky. Accessed August 22, 2019. https://uknowledge.uky.edu/statistics_etds/22.

MLA Handbook (7^{th} Edition):

Wang, Hongyuan. “Statistical Inference on Dynamical Systems.” 2016. Web. 22 Aug 2019.

Vancouver:

Wang H. Statistical Inference on Dynamical Systems. [Internet] [Doctoral dissertation]. University of Kentucky; 2016. [cited 2019 Aug 22]. Available from: https://uknowledge.uky.edu/statistics_etds/22.

Council of Science Editors:

Wang H. Statistical Inference on Dynamical Systems. [Doctoral Dissertation]. University of Kentucky; 2016. Available from: https://uknowledge.uky.edu/statistics_etds/22

University of Oxford

20. Lienart, Thibaut. Inference on Markov random fields : methods and applications.

Degree: PhD, 2017, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731

► This thesis considers the problem of performing inference on undirected graphical models with continuous state spaces. These models represent conditional independence structures that can appear…
(more)

Subjects/Keywords: Machine learning; Bayesian statistics; Computational statistics; Sampling Methods; Expectation Propagation; Markov Random Fields; Bouncy Particle Sampler; Computational Bayesian Statistics; Variational Inference; Bayesian Machine Learning

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

APA (6^{th} Edition):

Lienart, T. (2017). Inference on Markov random fields : methods and applications. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731

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

Lienart, Thibaut. “Inference on Markov random fields : methods and applications.” 2017. Doctoral Dissertation, University of Oxford. Accessed August 22, 2019. http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731.

MLA Handbook (7^{th} Edition):

Lienart, Thibaut. “Inference on Markov random fields : methods and applications.” 2017. Web. 22 Aug 2019.

Vancouver:

Lienart T. Inference on Markov random fields : methods and applications. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Aug 22]. Available from: http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731.

Council of Science Editors:

Lienart T. Inference on Markov random fields : methods and applications. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731

University of Cambridge

21. Javid, Kamran. Physical modelling of galaxy clusters and Bayesian inference in astrophysics .

Degree: 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/293473

► This thesis is concerned with the modelling of galaxy clusters, applying these models to real and simulated data using Bayesian inference, and the development of…
(more)

Subjects/Keywords: Mathematical modelling; Computational Astrophysics; Computational Statistics; Bayesian inference; Applied statistics; Monte Carlo methods; Markov Chain Monte Carlo; Data analysis; Bayesian statistics; Galaxy cluster modelling

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

APA (6^{th} Edition):

Javid, K. (2019). Physical modelling of galaxy clusters and Bayesian inference in astrophysics . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293473

Not specified: Masters Thesis or Doctoral Dissertation

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

Javid, Kamran. “Physical modelling of galaxy clusters and Bayesian inference in astrophysics .” 2019. Thesis, University of Cambridge. Accessed August 22, 2019. https://www.repository.cam.ac.uk/handle/1810/293473.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Javid, Kamran. “Physical modelling of galaxy clusters and Bayesian inference in astrophysics .” 2019. Web. 22 Aug 2019.

Vancouver:

Javid K. Physical modelling of galaxy clusters and Bayesian inference in astrophysics . [Internet] [Thesis]. University of Cambridge; 2019. [cited 2019 Aug 22]. Available from: https://www.repository.cam.ac.uk/handle/1810/293473.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Javid K. Physical modelling of galaxy clusters and Bayesian inference in astrophysics . [Thesis]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293473

Not specified: Masters Thesis or Doctoral Dissertation

McMaster University

22. Deng, Wei Q. A statistical framework to detect gene-environment interactions influencing complex traits.

Degree: MSc, 2013, McMaster University

URL: http://hdl.handle.net/11375/15260

►

Advancements in human genomic technology have helped to improve our understanding of how genetic variation plays a central role in the mechanism of disease… (more)

Subjects/Keywords: genetic epidemiology; gene-environment interactions; variance heterogeneity; genetics; Applied Statistics; Bioinformatics; Biostatistics; Computational Biology; Genetics; Genomics; Statistical Methodology; Applied Statistics

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

APA (6^{th} Edition):

Deng, W. Q. (2013). A statistical framework to detect gene-environment interactions influencing complex traits. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/15260

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

Deng, Wei Q. “A statistical framework to detect gene-environment interactions influencing complex traits.” 2013. Masters Thesis, McMaster University. Accessed August 22, 2019. http://hdl.handle.net/11375/15260.

MLA Handbook (7^{th} Edition):

Deng, Wei Q. “A statistical framework to detect gene-environment interactions influencing complex traits.” 2013. Web. 22 Aug 2019.

Vancouver:

Deng WQ. A statistical framework to detect gene-environment interactions influencing complex traits. [Internet] [Masters thesis]. McMaster University; 2013. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/11375/15260.

Council of Science Editors:

Deng WQ. A statistical framework to detect gene-environment interactions influencing complex traits. [Masters Thesis]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/15260

Iowa State University

23. Recknor, Justin C. New methods for designing and analyzing microarray experiments for the detection of differential expression.

Degree: 2006, Iowa State University

URL: https://lib.dr.iastate.edu/rtd/3049

► This thesis is divided into three sections all pertaining to microarray experimental design and analysis. Microarrays are a tool used in biological research which enables…
(more)

Subjects/Keywords: Statistics; Bioinformatics and computational biology; Bioinformatics; Statistics and Probability

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

APA (6^{th} Edition):

Recknor, J. C. (2006). New methods for designing and analyzing microarray experiments for the detection of differential expression. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/rtd/3049

Not specified: Masters Thesis or Doctoral Dissertation

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

Recknor, Justin C. “New methods for designing and analyzing microarray experiments for the detection of differential expression.” 2006. Thesis, Iowa State University. Accessed August 22, 2019. https://lib.dr.iastate.edu/rtd/3049.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Recknor, Justin C. “New methods for designing and analyzing microarray experiments for the detection of differential expression.” 2006. Web. 22 Aug 2019.

Vancouver:

Recknor JC. New methods for designing and analyzing microarray experiments for the detection of differential expression. [Internet] [Thesis]. Iowa State University; 2006. [cited 2019 Aug 22]. Available from: https://lib.dr.iastate.edu/rtd/3049.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Recknor JC. New methods for designing and analyzing microarray experiments for the detection of differential expression. [Thesis]. Iowa State University; 2006. Available from: https://lib.dr.iastate.edu/rtd/3049

Not specified: Masters Thesis or Doctoral Dissertation

Iowa State University

24. Zhang, Zhongqi. Statistical analysis of gene expression profiles.

Degree: 2004, Iowa State University

URL: https://lib.dr.iastate.edu/rtd/1135

► Function divergence after gene duplication has been considered to be an important mechanism for the evolution of new functions. Although gene expression profiles have been…
(more)

Subjects/Keywords: Bioinformatics and computational biology; Statistics; 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):

Zhang, Z. (2004). Statistical analysis of gene expression profiles. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/rtd/1135

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Zhongqi. “Statistical analysis of gene expression profiles.” 2004. Thesis, Iowa State University. Accessed August 22, 2019. https://lib.dr.iastate.edu/rtd/1135.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Zhongqi. “Statistical analysis of gene expression profiles.” 2004. Web. 22 Aug 2019.

Vancouver:

Zhang Z. Statistical analysis of gene expression profiles. [Internet] [Thesis]. Iowa State University; 2004. [cited 2019 Aug 22]. Available from: https://lib.dr.iastate.edu/rtd/1135.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Z. Statistical analysis of gene expression profiles. [Thesis]. Iowa State University; 2004. Available from: https://lib.dr.iastate.edu/rtd/1135

Not specified: Masters Thesis or Doctoral Dissertation

KTH

25. Toft, Albin. Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online.

Degree: Mathematical Statistics, 2019, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252313

►

This thesis focuses on comparing an online parameter estimator to an offline estimator, both based on the PaRIS-algorithm, when estimating parameter values for a… (more)

Subjects/Keywords: Hidden Markov models; the PaRIS-algorithm; computational statistics; Monte Carlo simulation stochastic volatility models; Probability Theory and Statistics; Sannolikhetsteori och statistik

Record Details Similar Records

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

APA (6^{th} Edition):

Toft, A. (2019). Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252313

Not specified: Masters Thesis or Doctoral Dissertation

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

Toft, Albin. “Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online.” 2019. Thesis, KTH. Accessed August 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252313.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Toft, Albin. “Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online.” 2019. Web. 22 Aug 2019.

Vancouver:

Toft A. Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online. [Internet] [Thesis]. KTH; 2019. [cited 2019 Aug 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252313.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Toft A. Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252313

Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

26.
Weyenberg, Grady S.
* STATISTICS* IN THE BILLERA-HOLMES-VOGTMANN TREESPACE.

Degree: 2015, University of Kentucky

URL: https://uknowledge.uky.edu/statistics_etds/12

► This dissertation is an effort to adapt two classical non-parametric statistical techniques, kernel density estimation (KDE) and principal components analysis (PCA), to the Billera-Holmes-Vogtmann (BHV)…
(more)

Subjects/Keywords: Phylogenetic trees; Non-parametric statistics; Outlier Detection; Kernel Density Estimation; Principal Components Analysis; Applied Statistics; Computational Biology; Statistical Methodology

Record Details Similar Records

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

APA (6^{th} Edition):

Weyenberg, G. S. (2015). STATISTICS IN THE BILLERA-HOLMES-VOGTMANN TREESPACE. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/12

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

Weyenberg, Grady S. “STATISTICS IN THE BILLERA-HOLMES-VOGTMANN TREESPACE.” 2015. Doctoral Dissertation, University of Kentucky. Accessed August 22, 2019. https://uknowledge.uky.edu/statistics_etds/12.

MLA Handbook (7^{th} Edition):

Weyenberg, Grady S. “STATISTICS IN THE BILLERA-HOLMES-VOGTMANN TREESPACE.” 2015. Web. 22 Aug 2019.

Vancouver:

Weyenberg GS. STATISTICS IN THE BILLERA-HOLMES-VOGTMANN TREESPACE. [Internet] [Doctoral dissertation]. University of Kentucky; 2015. [cited 2019 Aug 22]. Available from: https://uknowledge.uky.edu/statistics_etds/12.

Council of Science Editors:

Weyenberg GS. STATISTICS IN THE BILLERA-HOLMES-VOGTMANN TREESPACE. [Doctoral Dissertation]. University of Kentucky; 2015. Available from: https://uknowledge.uky.edu/statistics_etds/12

27. Bernholt, Thorsten. Effiziente Algorithmen und Komplexität in der robusten Statistik.

Degree: 2006, Technische Universität Dortmund

URL: http://hdl.handle.net/2003/23027

► Ein Ausgangspunkt der robusten Statistik ist, dass der Least-Squares-Schätzer zwar einfach zu berechnen ist, aber Probleme mit Ausreißern hat. Es genügt, dass ein Punkt des…
(more)

Subjects/Keywords: Algorithmen; Algorithmische Geometrie; algorithms; computational geometry; outlier; Robuste Statistik; robust statistics; time series; Zeitreihen; 004

Record Details Similar Records

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

APA (6^{th} Edition):

Bernholt, T. (2006). Effiziente Algorithmen und Komplexität in der robusten Statistik. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/23027

Not specified: Masters Thesis or Doctoral Dissertation

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

Bernholt, Thorsten. “Effiziente Algorithmen und Komplexität in der robusten Statistik.” 2006. Thesis, Technische Universität Dortmund. Accessed August 22, 2019. http://hdl.handle.net/2003/23027.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bernholt, Thorsten. “Effiziente Algorithmen und Komplexität in der robusten Statistik.” 2006. Web. 22 Aug 2019.

Vancouver:

Bernholt T. Effiziente Algorithmen und Komplexität in der robusten Statistik. [Internet] [Thesis]. Technische Universität Dortmund; 2006. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2003/23027.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bernholt T. Effiziente Algorithmen und Komplexität in der robusten Statistik. [Thesis]. Technische Universität Dortmund; 2006. Available from: http://hdl.handle.net/2003/23027

Not specified: Masters Thesis or Doctoral Dissertation

University of Groningen

28. Brink, Axel Arjan. Robust and applicable handwriting biometrics.

Degree: 2011, University of Groningen

URL: http://hdl.handle.net/11370/be2c84e9-144f-4c82-b84e-04629bc0601b

► Handschrift bevat kenmerken die kunnen verraden wie de schrijver is, Dat komt van pas wanneer de politie wil achterhalen wie de schrijver is van bijvoorbeeld…
(more)

Subjects/Keywords: Proefschriften (vorm); Patroonherkenning; Computational $statistics; Verificatie; Grafologie; Handschrift; Robuustheid; Biometrie; patroonherkenning, beeldverwerking; biomathematica

Record Details Similar Records

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

APA (6^{th} Edition):

Brink, A. A. (2011). Robust and applicable handwriting biometrics. (Doctoral Dissertation). University of Groningen. Retrieved from http://hdl.handle.net/11370/be2c84e9-144f-4c82-b84e-04629bc0601b

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

Brink, Axel Arjan. “Robust and applicable handwriting biometrics.” 2011. Doctoral Dissertation, University of Groningen. Accessed August 22, 2019. http://hdl.handle.net/11370/be2c84e9-144f-4c82-b84e-04629bc0601b.

MLA Handbook (7^{th} Edition):

Brink, Axel Arjan. “Robust and applicable handwriting biometrics.” 2011. Web. 22 Aug 2019.

Vancouver:

Brink AA. Robust and applicable handwriting biometrics. [Internet] [Doctoral dissertation]. University of Groningen; 2011. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/11370/be2c84e9-144f-4c82-b84e-04629bc0601b.

Council of Science Editors:

Brink AA. Robust and applicable handwriting biometrics. [Doctoral Dissertation]. University of Groningen; 2011. Available from: http://hdl.handle.net/11370/be2c84e9-144f-4c82-b84e-04629bc0601b

National University of Ireland – Galway

29.
Hegarty, Fintan.
* Computational* Homology of Cubical and Permutahedral Complexes.

Degree: 2013, National University of Ireland – Galway

URL: http://hdl.handle.net/10379/3927

► Homology is the study of connectivity and "holes" in spaces. The aim of this thesis is to introduce and develop a theory of permutahedral complexes…
(more)

Subjects/Keywords: Permutahedron; Computational homology; Homotopy retractions; Tessellated spaces; Mathematics, Statistics, and Applied Mathematics

Record Details Similar Records

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

APA (6^{th} Edition):

Hegarty, F. (2013). Computational Homology of Cubical and Permutahedral Complexes. (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/3927

Not specified: Masters Thesis or Doctoral Dissertation

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

Hegarty, Fintan. “Computational Homology of Cubical and Permutahedral Complexes.” 2013. Thesis, National University of Ireland – Galway. Accessed August 22, 2019. http://hdl.handle.net/10379/3927.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hegarty, Fintan. “Computational Homology of Cubical and Permutahedral Complexes.” 2013. Web. 22 Aug 2019.

Vancouver:

Hegarty F. Computational Homology of Cubical and Permutahedral Complexes. [Internet] [Thesis]. National University of Ireland – Galway; 2013. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/10379/3927.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hegarty F. Computational Homology of Cubical and Permutahedral Complexes. [Thesis]. National University of Ireland – Galway; 2013. Available from: http://hdl.handle.net/10379/3927

Not specified: Masters Thesis or Doctoral Dissertation

Iowa State University

30. Vendettuoli, Marie C. Workflow tools for biological applications.

Degree: 2013, Iowa State University

URL: https://lib.dr.iastate.edu/etd/13302

► When identifying best practices for multistep processes involving data analysis, it is fre- quently the case that the data scientist is asked to wear many…
(more)

Subjects/Keywords: computational biology; graphics; human computer interaction; interactive visualization; R; Bioinformatics; Computer Sciences; 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):

Vendettuoli, M. C. (2013). Workflow tools for biological applications. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13302

Not specified: Masters Thesis or Doctoral Dissertation

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

Vendettuoli, Marie C. “Workflow tools for biological applications.” 2013. Thesis, Iowa State University. Accessed August 22, 2019. https://lib.dr.iastate.edu/etd/13302.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Vendettuoli, Marie C. “Workflow tools for biological applications.” 2013. Web. 22 Aug 2019.

Vancouver:

Vendettuoli MC. Workflow tools for biological applications. [Internet] [Thesis]. Iowa State University; 2013. [cited 2019 Aug 22]. Available from: https://lib.dr.iastate.edu/etd/13302.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vendettuoli MC. Workflow tools for biological applications. [Thesis]. Iowa State University; 2013. Available from: https://lib.dr.iastate.edu/etd/13302

Not specified: Masters Thesis or Doctoral Dissertation