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Dept: Statistics

You searched for subject:(lattice concept algorithm Jester Movielens). Showing records 1 – 30 of 57 total matches.

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UCLA

1. Zhu, Yongkai. Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets.

Degree: Statistics, 2019, UCLA

 Maximin distance Latin hypercube designs are becoming increasingly prevalent in computer experiments. As addressed by Wang,Xiao and Xu (2018), p  ×  (p-1) optimal designs, \… (more)

Subjects/Keywords: Statistics; Experimental Design; Good Lattice Point; Latin Hypercube Design; Maximin

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

APA (6th Edition):

Zhu, Y. (2019). Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/6qb6w5q6

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):

Zhu, Yongkai. “Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets.” 2019. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/6qb6w5q6.

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

MLA Handbook (7th Edition):

Zhu, Yongkai. “Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets.” 2019. Web. 25 Jun 2019.

Vancouver:

Zhu Y. Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/6qb6w5q6.

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

Council of Science Editors:

Zhu Y. Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/6qb6w5q6

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


Penn State University

2. Yang, Tao. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors.

Degree: MS, Statistics, 2014, Penn State University

 Many tagging SNP selection methods depend heavily on the estimated haplotype frequencies. One limitation of the existing tagging SNP selection algorithms is that they assume… (more)

Subjects/Keywords: tagging SNP selection; EM algorithm; genotyping errors

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APA (6th Edition):

Yang, T. (2014). An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/21780

Chicago Manual of Style (16th Edition):

Yang, Tao. “An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors.” 2014. Masters Thesis, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/21780.

MLA Handbook (7th Edition):

Yang, Tao. “An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors.” 2014. Web. 25 Jun 2019.

Vancouver:

Yang T. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/21780.

Council of Science Editors:

Yang T. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/21780


Virginia Tech

3. Bleicher, Edwin. The extension of the multiple comparisons test to lattice designs.

Degree: MS, Statistics, 1954, Virginia Tech

 In many investigations, an experimenter is interested in comparing the effects of a number of experimental treatments, such as yields of several new agriculture varieties,… (more)

Subjects/Keywords: Lattice theory; LD5655.V855 1954.B534

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APA (6th Edition):

Bleicher, E. (1954). The extension of the multiple comparisons test to lattice designs. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/45497

Chicago Manual of Style (16th Edition):

Bleicher, Edwin. “The extension of the multiple comparisons test to lattice designs.” 1954. Masters Thesis, Virginia Tech. Accessed June 25, 2019. http://hdl.handle.net/10919/45497.

MLA Handbook (7th Edition):

Bleicher, Edwin. “The extension of the multiple comparisons test to lattice designs.” 1954. Web. 25 Jun 2019.

Vancouver:

Bleicher E. The extension of the multiple comparisons test to lattice designs. [Internet] [Masters thesis]. Virginia Tech; 1954. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10919/45497.

Council of Science Editors:

Bleicher E. The extension of the multiple comparisons test to lattice designs. [Masters Thesis]. Virginia Tech; 1954. Available from: http://hdl.handle.net/10919/45497


UCLA

4. Wang, Jianyu. Modeling Objects and Parts by Compositional Relations.

Degree: Statistics, 2017, UCLA

 Modeling object is one of the core problems in computer vision. A good object model can be applied to multiple visual recognition tasks. In this… (more)

Subjects/Keywords: Computer science; Computer engineering; Compositional Model; Occlusion; Population Encoding; Semantic Part; Visual Concept

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APA (6th Edition):

Wang, J. (2017). Modeling Objects and Parts by Compositional Relations. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/6638d58q

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, Jianyu. “Modeling Objects and Parts by Compositional Relations.” 2017. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/6638d58q.

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

MLA Handbook (7th Edition):

Wang, Jianyu. “Modeling Objects and Parts by Compositional Relations.” 2017. Web. 25 Jun 2019.

Vancouver:

Wang J. Modeling Objects and Parts by Compositional Relations. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/6638d58q.

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

Council of Science Editors:

Wang J. Modeling Objects and Parts by Compositional Relations. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/6638d58q

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


University of Georgia

5. Choi, Ho Suk. Prediction of peanut butter prices in the United States by tracking concept drift.

Degree: MS, Statistics, 2018, University of Georgia

 The objective of thesis is an application of model combining ensemble methods to peanut butter prices data from 2001 to 2012 in the United States.… (more)

Subjects/Keywords: Concept drift; Endogeneity control function; Ensemble method; Peanut butter price; Ridge regression

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APA (6th Edition):

Choi, H. S. (2018). Prediction of peanut butter prices in the United States by tracking concept drift. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38283

Chicago Manual of Style (16th Edition):

Choi, Ho Suk. “Prediction of peanut butter prices in the United States by tracking concept drift.” 2018. Masters Thesis, University of Georgia. Accessed June 25, 2019. http://hdl.handle.net/10724/38283.

MLA Handbook (7th Edition):

Choi, Ho Suk. “Prediction of peanut butter prices in the United States by tracking concept drift.” 2018. Web. 25 Jun 2019.

Vancouver:

Choi HS. Prediction of peanut butter prices in the United States by tracking concept drift. [Internet] [Masters thesis]. University of Georgia; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10724/38283.

Council of Science Editors:

Choi HS. Prediction of peanut butter prices in the United States by tracking concept drift. [Masters Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38283

6. Bari, Abdul. Some integer programming problems and their solution procedures; -.

Degree: Statistics, 1977, Aligarh Muslim University

Abstract available newline newline

Bibliography given

Advisors/Committee Members: Khan, S U and Ali, S M.

Subjects/Keywords: Mathematical; Integers; Algorithm; Glover; Convexity

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APA (6th Edition):

Bari, A. (1977). Some integer programming problems and their solution procedures; -. (Thesis). Aligarh Muslim University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/51761

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):

Bari, Abdul. “Some integer programming problems and their solution procedures; -.” 1977. Thesis, Aligarh Muslim University. Accessed June 25, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/51761.

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

MLA Handbook (7th Edition):

Bari, Abdul. “Some integer programming problems and their solution procedures; -.” 1977. Web. 25 Jun 2019.

Vancouver:

Bari A. Some integer programming problems and their solution procedures; -. [Internet] [Thesis]. Aligarh Muslim University; 1977. [cited 2019 Jun 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51761.

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

Council of Science Editors:

Bari A. Some integer programming problems and their solution procedures; -. [Thesis]. Aligarh Muslim University; 1977. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51761

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


Penn State University

7. Kuruppumullage Don, Prabhani. Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach.

Degree: PhD, Statistics, 2014, Penn State University

 Clustering is the task of finding useful and meaningful groups in data, in a way that members within a group are more similar to each… (more)

Subjects/Keywords: Block clustering; Composite Likelihood; EM algorithm; Mixture models

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APA (6th Edition):

Kuruppumullage Don, P. (2014). Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22368

Chicago Manual of Style (16th Edition):

Kuruppumullage Don, Prabhani. “Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach.” 2014. Doctoral Dissertation, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/22368.

MLA Handbook (7th Edition):

Kuruppumullage Don, Prabhani. “Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach.” 2014. Web. 25 Jun 2019.

Vancouver:

Kuruppumullage Don P. Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/22368.

Council of Science Editors:

Kuruppumullage Don P. Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22368


Penn State University

8. Benaglia, Tatiana A. NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS.

Degree: PhD, Statistics, 2008, Penn State University

 The main goal of this thesis is to provide a complete methodology to analyze finite multivariate mixture models. Our approach is fully nonparametric and it… (more)

Subjects/Keywords: Density Estimation; EM Algorithm; Nonparametric Mixture; Multivariate Mixture

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APA (6th Edition):

Benaglia, T. A. (2008). NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9263

Chicago Manual of Style (16th Edition):

Benaglia, Tatiana A. “NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS.” 2008. Doctoral Dissertation, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/9263.

MLA Handbook (7th Edition):

Benaglia, Tatiana A. “NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS.” 2008. Web. 25 Jun 2019.

Vancouver:

Benaglia TA. NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/9263.

Council of Science Editors:

Benaglia TA. NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/9263


Penn State University

9. Liu, Rong. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.

Degree: PhD, Statistics, 2010, Penn State University

 Questionnaires used in survey-based research are often arranged in multiple sections. Each section contains items that are closely interrelated, serving one or more themes. Even… (more)

Subjects/Keywords: factor model; EM algorithm; Markov chain Monte Carlo; incomplete data

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APA (6th Edition):

Liu, R. (2010). MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10552

Chicago Manual of Style (16th Edition):

Liu, Rong. “MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.” 2010. Doctoral Dissertation, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/10552.

MLA Handbook (7th Edition):

Liu, Rong. “MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.” 2010. Web. 25 Jun 2019.

Vancouver:

Liu R. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/10552.

Council of Science Editors:

Liu R. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10552

10. Chen, Weihan. A gradient model for studying genotype-.

Degree: MS, Statistics, 2011, Penn State University

 The genetic architecture of how genes interact with the environemnt to determine complex phenotypes remains eclusive. We know little about the genes that underlie the… (more)

Subjects/Keywords: QTL genotypes; EM algorithm

…selection in covariance structure. Estimation and Tests. A hybrid EM-simplex algorithm was… …environments, and the parameters that model the covariance structure. The EM algorithm provides a… …platform within which the simplex algorithm is embedded to estimate . After all the parameters… 

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APA (6th Edition):

Chen, W. (2011). A gradient model for studying genotype-. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11889

Chicago Manual of Style (16th Edition):

Chen, Weihan. “A gradient model for studying genotype-.” 2011. Masters Thesis, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/11889.

MLA Handbook (7th Edition):

Chen, Weihan. “A gradient model for studying genotype-.” 2011. Web. 25 Jun 2019.

Vancouver:

Chen W. A gradient model for studying genotype-. [Internet] [Masters thesis]. Penn State University; 2011. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/11889.

Council of Science Editors:

Chen W. A gradient model for studying genotype-. [Masters Thesis]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/11889


UCLA

11. Marchetti, Yuliya. Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data.

Degree: Statistics, 2014, UCLA

 Fast accumulation of large amounts of complex data has created a needfor more sophisticated statistical methodologies to discoverinteresting patterns and better extract information from these… (more)

Subjects/Keywords: Statistics; big data; clustering; coordinate descent; MM algorithm; regularization; sparsity

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APA (6th Edition):

Marchetti, Y. (2014). Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0cr9523k

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):

Marchetti, Yuliya. “Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data.” 2014. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/0cr9523k.

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

MLA Handbook (7th Edition):

Marchetti, Yuliya. “Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data.” 2014. Web. 25 Jun 2019.

Vancouver:

Marchetti Y. Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/0cr9523k.

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

Council of Science Editors:

Marchetti Y. Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/0cr9523k

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


UCLA

12. Ding, Fan. Click Prediction with Machine Learning Tools.

Degree: Statistics, 2018, UCLA

 In this paper, we will explore multiple machine learning tools with their applications in the industry of advertisement technology. Companies like Sabio Mobile Inc. aim… (more)

Subjects/Keywords: Statistics; Advertising Technology; Logistic Regression; Machine Learning; Neural Network; Tree Algorithm

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APA (6th Edition):

Ding, F. (2018). Click Prediction with Machine Learning Tools. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0cf772s3

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

Chicago Manual of Style (16th Edition):

Ding, Fan. “Click Prediction with Machine Learning Tools.” 2018. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/0cf772s3.

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

MLA Handbook (7th Edition):

Ding, Fan. “Click Prediction with Machine Learning Tools.” 2018. Web. 25 Jun 2019.

Vancouver:

Ding F. Click Prediction with Machine Learning Tools. [Internet] [Thesis]. UCLA; 2018. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/0cf772s3.

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

Council of Science Editors:

Ding F. Click Prediction with Machine Learning Tools. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/0cf772s3

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


Uppsala University

13. Wang, Zhizheng. Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study.

Degree: Statistics, 2015, Uppsala University

  It is essential for the managers to make investment on hardware based on the utilization information of the equipment. From December 2014, a pool… (more)

Subjects/Keywords: M/M/c queue; failure rate; exponential distribution family; EM algorithm

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APA (6th Edition):

Wang, Z. (2015). Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260070

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, Zhizheng. “Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study.” 2015. Thesis, Uppsala University. Accessed June 25, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260070.

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

MLA Handbook (7th Edition):

Wang, Zhizheng. “Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study.” 2015. Web. 25 Jun 2019.

Vancouver:

Wang Z. Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study. [Internet] [Thesis]. Uppsala University; 2015. [cited 2019 Jun 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260070.

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

Council of Science Editors:

Wang Z. Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260070

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


Bowling Green State University

14. Haman, John T. The energy goodness-of-fit test and E-M type estimator forasymmetric Laplace distributions.

Degree: PhD, Statistics, 2018, Bowling Green State University

 Recently the asymmetric Laplace distribution and its extensions have gained attention in thestatistical literature. This may be due to its relatively simple form and its… (more)

Subjects/Keywords: Statistics; asymmetric Laplace; multivariate Laplace; EM algorithm; goodness-of-fit

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APA (6th Edition):

Haman, J. T. (2018). The energy goodness-of-fit test and E-M type estimator forasymmetric Laplace distributions. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1524756256837676

Chicago Manual of Style (16th Edition):

Haman, John T. “The energy goodness-of-fit test and E-M type estimator forasymmetric Laplace distributions.” 2018. Doctoral Dissertation, Bowling Green State University. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1524756256837676.

MLA Handbook (7th Edition):

Haman, John T. “The energy goodness-of-fit test and E-M type estimator forasymmetric Laplace distributions.” 2018. Web. 25 Jun 2019.

Vancouver:

Haman JT. The energy goodness-of-fit test and E-M type estimator forasymmetric Laplace distributions. [Internet] [Doctoral dissertation]. Bowling Green State University; 2018. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1524756256837676.

Council of Science Editors:

Haman JT. The energy goodness-of-fit test and E-M type estimator forasymmetric Laplace distributions. [Doctoral Dissertation]. Bowling Green State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1524756256837676


North Carolina State University

15. Gong, Xiaohua. Mapping Quantitative Trait Loci in Outbred Half-sib Populations.

Degree: PhD, Statistics, 2009, North Carolina State University

 Quantitative trait loci (QTL) mapping in outbred populations faces some challenges unique to the divergent genetic background and complex pedigree relationships. Motivated by a dairy… (more)

Subjects/Keywords: QTL; half-sib; variance component; mixed model; EM algorithm; haplotyping

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APA (6th Edition):

Gong, X. (2009). Mapping Quantitative Trait Loci in Outbred Half-sib Populations. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4283

Chicago Manual of Style (16th Edition):

Gong, Xiaohua. “Mapping Quantitative Trait Loci in Outbred Half-sib Populations.” 2009. Doctoral Dissertation, North Carolina State University. Accessed June 25, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4283.

MLA Handbook (7th Edition):

Gong, Xiaohua. “Mapping Quantitative Trait Loci in Outbred Half-sib Populations.” 2009. Web. 25 Jun 2019.

Vancouver:

Gong X. Mapping Quantitative Trait Loci in Outbred Half-sib Populations. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Jun 25]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4283.

Council of Science Editors:

Gong X. Mapping Quantitative Trait Loci in Outbred Half-sib Populations. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4283


Penn State University

16. Huang, Mian. NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS.

Degree: PhD, Statistics, 2009, Penn State University

 Mixture models have been popular in the literature of both statistics and social science. In this dissertation, we propose a new mixture model, namely, nonparametric… (more)

Subjects/Keywords: mixture of regression models; nonparametric regression; EM algorithm; mixture of Gaussian processes

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APA (6th Edition):

Huang, M. (2009). NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9798

Chicago Manual of Style (16th Edition):

Huang, Mian. “NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS.” 2009. Doctoral Dissertation, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/9798.

MLA Handbook (7th Edition):

Huang, Mian. “NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS.” 2009. Web. 25 Jun 2019.

Vancouver:

Huang M. NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/9798.

Council of Science Editors:

Huang M. NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9798


University of California – Berkeley

17. Gibbons, Robert Lyon. Two Statistical Methods for Clustering Medicare Claims Data into Episodes of Care.

Degree: Statistics, 2011, University of California – Berkeley

 Methods for clustering health care claims into episodes of care are important tools for data analysis in evaluating health care outcomes and methods of payment.… (more)

Subjects/Keywords: Statistics; conversation disentanglement; EM algorithm; episode of care; Medicare; NLP; Random Forests

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APA (6th Edition):

Gibbons, R. L. (2011). Two Statistical Methods for Clustering Medicare Claims Data into Episodes of Care. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/22p3r8rx

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):

Gibbons, Robert Lyon. “Two Statistical Methods for Clustering Medicare Claims Data into Episodes of Care.” 2011. Thesis, University of California – Berkeley. Accessed June 25, 2019. http://www.escholarship.org/uc/item/22p3r8rx.

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

MLA Handbook (7th Edition):

Gibbons, Robert Lyon. “Two Statistical Methods for Clustering Medicare Claims Data into Episodes of Care.” 2011. Web. 25 Jun 2019.

Vancouver:

Gibbons RL. Two Statistical Methods for Clustering Medicare Claims Data into Episodes of Care. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/22p3r8rx.

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

Council of Science Editors:

Gibbons RL. Two Statistical Methods for Clustering Medicare Claims Data into Episodes of Care. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/22p3r8rx

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


Virginia Tech

18. Wan, Wen. Semi-Parametric Techniques for Multi-Response Optimization.

Degree: PhD, Statistics, 2007, Virginia Tech

 The multi-response optimization (MRO) problem in response surface methodology (RSM) is quite common in industry and in many other areas of science. During the optimization… (more)

Subjects/Keywords: Desirability Function; Genetic Algorithm (GA); Mod

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APA (6th Edition):

Wan, W. (2007). Semi-Parametric Techniques for Multi-Response Optimization. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29425

Chicago Manual of Style (16th Edition):

Wan, Wen. “Semi-Parametric Techniques for Multi-Response Optimization.” 2007. Doctoral Dissertation, Virginia Tech. Accessed June 25, 2019. http://hdl.handle.net/10919/29425.

MLA Handbook (7th Edition):

Wan, Wen. “Semi-Parametric Techniques for Multi-Response Optimization.” 2007. Web. 25 Jun 2019.

Vancouver:

Wan W. Semi-Parametric Techniques for Multi-Response Optimization. [Internet] [Doctoral dissertation]. Virginia Tech; 2007. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10919/29425.

Council of Science Editors:

Wan W. Semi-Parametric Techniques for Multi-Response Optimization. [Doctoral Dissertation]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/29425


University of Texas – Austin

19. Yan, Bowei. Theoretical analysis for convex and non-convex clustering algorithms.

Degree: Statistics, 2018, University of Texas – Austin

 Clustering is one of the most important unsupervised learning problem in the machine learning and statistics community. Given a set of observations, the goal is… (more)

Subjects/Keywords: Clustering; Sub-gaussian; Mixture model; Community detection; EM algorithm; Semi-definite programming; Stochastic block model

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APA (6th Edition):

Yan, B. (2018). Theoretical analysis for convex and non-convex clustering algorithms. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68254

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):

Yan, Bowei. “Theoretical analysis for convex and non-convex clustering algorithms.” 2018. Thesis, University of Texas – Austin. Accessed June 25, 2019. http://hdl.handle.net/2152/68254.

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

MLA Handbook (7th Edition):

Yan, Bowei. “Theoretical analysis for convex and non-convex clustering algorithms.” 2018. Web. 25 Jun 2019.

Vancouver:

Yan B. Theoretical analysis for convex and non-convex clustering algorithms. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2152/68254.

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

Council of Science Editors:

Yan B. Theoretical analysis for convex and non-convex clustering algorithms. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68254

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

20. Freeman, James Wesley. Using EM Algorithm to identify defective parts per million on shifting production process.

Degree: Statistics, 2012, University of Texas – Austin

 The objective of this project is to determine whether utilizing an EM Algorithm to fit a Gaussian mixed model distribution model provides needed accuracy in… (more)

Subjects/Keywords: Production population shift; EM Algorithm

…experience. The paper then discusses the Expectation Maximization (EM) algorithm theory… …EM Algorithm One common technique used to identify if multiple populations exist within the… …manufacturing data set is the Expectation Maximization (EM) algorithm. The EM algorithm is… …called the complete-data likelihood (Bilmes, Pg 2). The EM algorithm first finds the… …of the EM algorithm then computes the maximum likelihood estimates of the parameters in… 

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APA (6th Edition):

Freeman, J. W. (2012). Using EM Algorithm to identify defective parts per million on shifting production process. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19996

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):

Freeman, James Wesley. “Using EM Algorithm to identify defective parts per million on shifting production process.” 2012. Thesis, University of Texas – Austin. Accessed June 25, 2019. http://hdl.handle.net/2152/19996.

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

MLA Handbook (7th Edition):

Freeman, James Wesley. “Using EM Algorithm to identify defective parts per million on shifting production process.” 2012. Web. 25 Jun 2019.

Vancouver:

Freeman JW. Using EM Algorithm to identify defective parts per million on shifting production process. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2152/19996.

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

Council of Science Editors:

Freeman JW. Using EM Algorithm to identify defective parts per million on shifting production process. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19996

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


North Carolina State University

21. Kyung, Minjung. Generalized Conditionally Autoregressive Models.

Degree: PhD, Statistics, 2007, North Carolina State University

 In many studies, lattice or area data are observed and spatial analysis is performed. A spatial process observed over a lattice or a set of… (more)

Subjects/Keywords: Anisotropy; Condionally autoregressive models; Spatial analysis; Maximum likelihood estimation; Lattice data; Bayesian estimation

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APA (6th Edition):

Kyung, M. (2007). Generalized Conditionally Autoregressive Models. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3063

Chicago Manual of Style (16th Edition):

Kyung, Minjung. “Generalized Conditionally Autoregressive Models.” 2007. Doctoral Dissertation, North Carolina State University. Accessed June 25, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3063.

MLA Handbook (7th Edition):

Kyung, Minjung. “Generalized Conditionally Autoregressive Models.” 2007. Web. 25 Jun 2019.

Vancouver:

Kyung M. Generalized Conditionally Autoregressive Models. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2019 Jun 25]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3063.

Council of Science Editors:

Kyung M. Generalized Conditionally Autoregressive Models. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3063

22. Naseh, Mohammad. Some developments in stochastic programming and its applications; -.

Degree: Statistics, 1995, Aligarh Muslim University

Abstract not available newline newline

Bibliography p. i-vi

Advisors/Committee Members: Khalid, Mohammad Masood.

Subjects/Keywords: Developments; Stochastic Programming; Applications; Knapsack Problem; Random Variables; Algorithm

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APA (6th Edition):

Naseh, M. (1995). Some developments in stochastic programming and its applications; -. (Thesis). Aligarh Muslim University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/51741

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):

Naseh, Mohammad. “Some developments in stochastic programming and its applications; -.” 1995. Thesis, Aligarh Muslim University. Accessed June 25, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/51741.

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

MLA Handbook (7th Edition):

Naseh, Mohammad. “Some developments in stochastic programming and its applications; -.” 1995. Web. 25 Jun 2019.

Vancouver:

Naseh M. Some developments in stochastic programming and its applications; -. [Internet] [Thesis]. Aligarh Muslim University; 1995. [cited 2019 Jun 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51741.

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

Council of Science Editors:

Naseh M. Some developments in stochastic programming and its applications; -. [Thesis]. Aligarh Muslim University; 1995. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/51741

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


Penn State University

23. Young, Derek Scott. A Study of Mixtures of Regressions.

Degree: PhD, Statistics, 2007, Penn State University

 Mixtures of regressions are a set of mixture models that include covariates in the mixture formulation. The purpose of this work is to study novel… (more)

Subjects/Keywords: bootstrap; EM algorithm; mixture models; regression; data depth

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APA (6th Edition):

Young, D. S. (2007). A Study of Mixtures of Regressions. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/7719

Chicago Manual of Style (16th Edition):

Young, Derek Scott. “A Study of Mixtures of Regressions.” 2007. Doctoral Dissertation, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/7719.

MLA Handbook (7th Edition):

Young, Derek Scott. “A Study of Mixtures of Regressions.” 2007. Web. 25 Jun 2019.

Vancouver:

Young DS. A Study of Mixtures of Regressions. [Internet] [Doctoral dissertation]. Penn State University; 2007. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/7719.

Council of Science Editors:

Young DS. A Study of Mixtures of Regressions. [Doctoral Dissertation]. Penn State University; 2007. Available from: https://etda.libraries.psu.edu/catalog/7719

24. Oyeniran, Oluyemi. Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems.

Degree: PhD, Statistics, 2016, Bowling Green State University

 The problem of estimating the proportion, ¿0, of the true null hypotheses in a multiple testing problem is important in cases where large scale of… (more)

Subjects/Keywords: Statistics; Multiple Comparisons; Mixture Model; EM Algorithm

…24 3.2 Graphical interpretation of a single iteration of the EM algorithm… …Lindqvist (2003)). 3 1.2 False Discovery Rate Control The concept of false… …describe the development of the concept of FDR. 1.2.1 Error Rate Control In multiple testing… …Algorithm 1.1: Simes’ procedure 1 Compute the 𝑝-values 𝑝1 , . . . , 𝑝𝑚 for each individual… …1 ≤ 𝑘 ≤ 𝑚, such that p(𝑘) ≤ 𝛼 mk . It is proved that the algorithm controls… 

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APA (6th Edition):

Oyeniran, O. (2016). Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466358483

Chicago Manual of Style (16th Edition):

Oyeniran, Oluyemi. “Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems.” 2016. Doctoral Dissertation, Bowling Green State University. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466358483.

MLA Handbook (7th Edition):

Oyeniran, Oluyemi. “Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems.” 2016. Web. 25 Jun 2019.

Vancouver:

Oyeniran O. Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems. [Internet] [Doctoral dissertation]. Bowling Green State University; 2016. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466358483.

Council of Science Editors:

Oyeniran O. Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems. [Doctoral Dissertation]. Bowling Green State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466358483


Virginia Tech

25. Chen, Younan. Bayesian hierarchical modelling of dual response surfaces.

Degree: PhD, Statistics, 2005, Virginia Tech

 Dual response surface methodology (Vining and Myers (1990)) has been successfully used as a cost-effective approach to improve the quality of products and processes since… (more)

Subjects/Keywords: dual response surfaces; Bayesian hierarchical model; genetic algorithm

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APA (6th Edition):

Chen, Y. (2005). Bayesian hierarchical modelling of dual response surfaces. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29924

Chicago Manual of Style (16th Edition):

Chen, Younan. “Bayesian hierarchical modelling of dual response surfaces.” 2005. Doctoral Dissertation, Virginia Tech. Accessed June 25, 2019. http://hdl.handle.net/10919/29924.

MLA Handbook (7th Edition):

Chen, Younan. “Bayesian hierarchical modelling of dual response surfaces.” 2005. Web. 25 Jun 2019.

Vancouver:

Chen Y. Bayesian hierarchical modelling of dual response surfaces. [Internet] [Doctoral dissertation]. Virginia Tech; 2005. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10919/29924.

Council of Science Editors:

Chen Y. Bayesian hierarchical modelling of dual response surfaces. [Doctoral Dissertation]. Virginia Tech; 2005. Available from: http://hdl.handle.net/10919/29924

26. Bedair, Khaled Farag Emam. Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.

Degree: PhD, Statistics, 2014, Virginia Tech

 In this dissertation, we are interested in studying processes which generate events repeatedly over the follow-up time of a given subject. Such processes are called… (more)

Subjects/Keywords: MCEM algorithm; cancer studies; multi-type recurrent events; multivariate frailty; semiparametric model; random effects; copula; survival analysis.

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APA (6th Edition):

Bedair, K. F. E. (2014). Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64981

Chicago Manual of Style (16th Edition):

Bedair, Khaled Farag Emam. “Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.” 2014. Doctoral Dissertation, Virginia Tech. Accessed June 25, 2019. http://hdl.handle.net/10919/64981.

MLA Handbook (7th Edition):

Bedair, Khaled Farag Emam. “Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.” 2014. Web. 25 Jun 2019.

Vancouver:

Bedair KFE. Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10919/64981.

Council of Science Editors:

Bedair KFE. Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64981

27. Sävås, Fredrik Nikolaisen. Forecast Comparison of Models Based on SARIMA and the Kalman Filter for Inflation.

Degree: Statistics, 2013, Uppsala University

  Inflation is one of the most important macroeconomic variables. It is vital that policy makers receive accurate forecasts of inflation so that they can… (more)

Subjects/Keywords: Inflation; SARIMA model; Hyndman-Khandakar algorithm; State-Space models; Kalman filter; Forecast comparison; Diebold-Mariano test.

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Sävås, F. N. (2013). Forecast Comparison of Models Based on SARIMA and the Kalman Filter for Inflation. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202204

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):

Sävås, Fredrik Nikolaisen. “Forecast Comparison of Models Based on SARIMA and the Kalman Filter for Inflation.” 2013. Thesis, Uppsala University. Accessed June 25, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202204.

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

MLA Handbook (7th Edition):

Sävås, Fredrik Nikolaisen. “Forecast Comparison of Models Based on SARIMA and the Kalman Filter for Inflation.” 2013. Web. 25 Jun 2019.

Vancouver:

Sävås FN. Forecast Comparison of Models Based on SARIMA and the Kalman Filter for Inflation. [Internet] [Thesis]. Uppsala University; 2013. [cited 2019 Jun 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202204.

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

Council of Science Editors:

Sävås FN. Forecast Comparison of Models Based on SARIMA and the Kalman Filter for Inflation. [Thesis]. Uppsala University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202204

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


Texas A&M University

28. Kim, Jinsu. A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.

Degree: PhD, Statistics, 2014, Texas A&M University

 Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their compute-intensive nature, which… (more)

Subjects/Keywords: Bayesian analysis; Big data; Markov chain Monte Carlo; Metropolis Hastings algorithm; Parallel computing; Bootstrap; Sub-sampling

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APA (6th Edition):

Kim, J. (2014). A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174185

Chicago Manual of Style (16th Edition):

Kim, Jinsu. “A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.” 2014. Doctoral Dissertation, Texas A&M University. Accessed June 25, 2019. http://hdl.handle.net/1969.1/174185.

MLA Handbook (7th Edition):

Kim, Jinsu. “A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.” 2014. Web. 25 Jun 2019.

Vancouver:

Kim J. A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1969.1/174185.

Council of Science Editors:

Kim J. A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/174185


University of South Carolina

29. Yang, Na. Modeling Mixed Unfolding/Monotone Dichotomous Item Exams.

Degree: PhD, Statistics, 2013, University of South Carolina

  Item response theory (IRT) is widely applied to analyze educational and psychological assessments. Readily available IRT implementations allow for two common types of models:… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Bayes modal estimation algorithm; monotone models used for dominance scales; unfolding models

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APA (6th Edition):

Yang, N. (2013). Modeling Mixed Unfolding/Monotone Dichotomous Item Exams. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2682

Chicago Manual of Style (16th Edition):

Yang, Na. “Modeling Mixed Unfolding/Monotone Dichotomous Item Exams.” 2013. Doctoral Dissertation, University of South Carolina. Accessed June 25, 2019. https://scholarcommons.sc.edu/etd/2682.

MLA Handbook (7th Edition):

Yang, Na. “Modeling Mixed Unfolding/Monotone Dichotomous Item Exams.” 2013. Web. 25 Jun 2019.

Vancouver:

Yang N. Modeling Mixed Unfolding/Monotone Dichotomous Item Exams. [Internet] [Doctoral dissertation]. University of South Carolina; 2013. [cited 2019 Jun 25]. Available from: https://scholarcommons.sc.edu/etd/2682.

Council of Science Editors:

Yang N. Modeling Mixed Unfolding/Monotone Dichotomous Item Exams. [Doctoral Dissertation]. University of South Carolina; 2013. Available from: https://scholarcommons.sc.edu/etd/2682


Colorado State University

30. Dornan, Grant J. Habitat estimation through synthesis of species presence/absence information and environmental covariate data.

Degree: MS(M.S.), Statistics, 2007, Colorado State University

 This paper investigates the statistical model developed by Foster, et al. (2011) to estimate marine habitat maps based on environmental covariate data and species presence/absence… (more)

Subjects/Keywords: absence; estimation; Gauss-Seidel algorithm; habitat; presence; species

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APA (6th Edition):

Dornan, G. J. (2007). Habitat estimation through synthesis of species presence/absence information and environmental covariate data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/70684

Chicago Manual of Style (16th Edition):

Dornan, Grant J. “Habitat estimation through synthesis of species presence/absence information and environmental covariate data.” 2007. Masters Thesis, Colorado State University. Accessed June 25, 2019. http://hdl.handle.net/10217/70684.

MLA Handbook (7th Edition):

Dornan, Grant J. “Habitat estimation through synthesis of species presence/absence information and environmental covariate data.” 2007. Web. 25 Jun 2019.

Vancouver:

Dornan GJ. Habitat estimation through synthesis of species presence/absence information and environmental covariate data. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10217/70684.

Council of Science Editors:

Dornan GJ. Habitat estimation through synthesis of species presence/absence information and environmental covariate data. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/70684

[1] [2]

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