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Dept: Statistics ^{❌}

You searched for `subject:(lattice concept algorithm Jester Movielens)`

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Showing records 1 – 30 of
57 total matches.

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Dates

- 2015 – 2019 (16)
- 2010 – 2014 (25)
- 2005 – 2009 (15)

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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

URL: http://www.escholarship.org/uc/item/6qb6w5q6

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: https://etda.libraries.psu.edu/catalog/21780

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/45497

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/6638d58q

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/10724/38283

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://shodhganga.inflibnet.ac.in/handle/10603/51761

Abstract available newline newline

Bibliography given

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

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://etda.libraries.psu.edu/catalog/22368

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/9263

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/10552

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/11889

► 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…

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/0cr9523k

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

UCLA

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

Degree: Statistics, 2018, UCLA

URL: http://www.escholarship.org/uc/item/0cf772s3

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260070

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1524756256837676

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.lib.ncsu.edu/resolver/1840.16/4283

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/9798

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/22p3r8rx

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/10919/29425

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2152/68254

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2152/19996

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://www.lib.ncsu.edu/resolver/1840.16/3063

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://shodhganga.inflibnet.ac.in/handle/10603/51741

Abstract not available newline newline

Bibliography p. i-vi

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

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://etda.libraries.psu.edu/catalog/7719

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466358483

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/29924

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/64981

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202204

► 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.

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1969.1/174185

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarcommons.sc.edu/etd/2682

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10217/70684

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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