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You searched for subject:(computational statistics). Showing records 1 – 30 of 151 total matches.

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

Degree: 2009, Technische Universität Dortmund

 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 (6th 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 (16th 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 (7th 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

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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


Rice University

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

Degree: PhD, Engineering, 2018, Rice University

 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 (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th 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

  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 (6th Edition):

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

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

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

MLA Handbook (7th 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.

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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

  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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

  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 (6th 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 (16th 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 (7th 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

 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 (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

Subjects/Keywords: Regularization; Time Series; Computational Statistics

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APA (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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/

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):

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/.

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

MLA Handbook (7th 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/.

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

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


University of Kentucky

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

Degree: 2016, University of Kentucky

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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


Iowa State University

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

Degree: 2004, Iowa State University

 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

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APA (6th Edition):

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

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

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

MLA Handbook (7th 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.

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

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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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

APA (6th 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 (16th 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 (7th 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

 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

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APA (6th Edition):

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

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):

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.

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

MLA Handbook (7th 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.

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

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


University of Groningen

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

Degree: 2011, University of Groningen

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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


Iowa State University

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

Degree: 2013, Iowa State University

 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

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APA (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

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