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You searched for subject:(EM algorithm). Showing records 1 – 30 of 263 total matches.

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University of Alberta

1. Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach.

Degree: MS, Department of Chemical and Materials Engineering, 2012, University of Alberta

 Limitations of measurement techniques and increasingly complex chemical process render difficulties in obtaining certain critical process variables. The hardware sensor reading may have an obvious… (more)

Subjects/Keywords: EM algorithm; Particle Filter; Soft Sensor

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

APA (6th Edition):

Deng,Jing. (2012). Modeling and Development of Soft Sensors with Particle Filtering Approach. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/k643b130g

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Deng,Jing. “Modeling and Development of Soft Sensors with Particle Filtering Approach.” 2012. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/k643b130g.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Deng,Jing. “Modeling and Development of Soft Sensors with Particle Filtering Approach.” 2012. Web. 25 Mar 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/k643b130g.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/k643b130g

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Alberta

2. Jin, Xing. Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm.

Degree: MS, Department of Chemical and Materials Engineering, 2010, University of Alberta

 Two different types of switching mechanism are considered in this thesis; one is featured with abrupt/sudden switching while the other one shows gradual changing behavior… (more)

Subjects/Keywords: Switching Systems; System Identification; EM Algorithm

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APA (6th Edition):

Jin, X. (2010). Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/7p88ch465

Chicago Manual of Style (16th Edition):

Jin, Xing. “Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm.” 2010. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/7p88ch465.

MLA Handbook (7th Edition):

Jin, Xing. “Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm.” 2010. Web. 25 Mar 2019.

Vancouver:

Jin X. Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/7p88ch465.

Council of Science Editors:

Jin X. Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/7p88ch465


Penn State University

3. 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 March 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 Mar 2019.

Vancouver:

Yang T. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Mar 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

4. Rosangela Aparecida Botinha AssumpÃÃo. InfluÃncia local em modelos geoestatÃsticos T-Student com aplicaÃÃes a dados agrÃcolas.

Degree: 2010, Universidade Estadual do Oeste do Parana

A presenÃa de observaÃÃes discrepantes torna imprÃpria a anÃlise do processo gaussiano, sendo assim, como à encontrado na literatura, esse processo deve ser substituÃdo por… (more)

Subjects/Keywords: GeoestatÃstica; Algoritmo EM; MÃxima verossimilhanÃa; Geostatistics; EM Algorithm; ENGENHARIA AGRICOLA; Maximum Likelihood

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APA (6th Edition):

AssumpÃÃo, R. A. B. (2010). InfluÃncia local em modelos geoestatÃsticos T-Student com aplicaÃÃes a dados agrÃcolas. (Thesis). Universidade Estadual do Oeste do Parana. Retrieved from http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=802

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):

AssumpÃÃo, Rosangela Aparecida Botinha. “InfluÃncia local em modelos geoestatÃsticos T-Student com aplicaÃÃes a dados agrÃcolas.” 2010. Thesis, Universidade Estadual do Oeste do Parana. Accessed March 25, 2019. http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=802.

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

MLA Handbook (7th Edition):

AssumpÃÃo, Rosangela Aparecida Botinha. “InfluÃncia local em modelos geoestatÃsticos T-Student com aplicaÃÃes a dados agrÃcolas.” 2010. Web. 25 Mar 2019.

Vancouver:

AssumpÃÃo RAB. InfluÃncia local em modelos geoestatÃsticos T-Student com aplicaÃÃes a dados agrÃcolas. [Internet] [Thesis]. Universidade Estadual do Oeste do Parana; 2010. [cited 2019 Mar 25]. Available from: http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=802.

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

Council of Science Editors:

AssumpÃÃo RAB. InfluÃncia local em modelos geoestatÃsticos T-Student com aplicaÃÃes a dados agrÃcolas. [Thesis]. Universidade Estadual do Oeste do Parana; 2010. Available from: http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=802

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


University of Alberta

5. Ranjan, Rishik. Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization.

Degree: MS, Department of Chemical and Materials Engineering, 2015, University of Alberta

 Availability of large amounts of industrial process data is allowing researchers to explore new data-based modelling methods. In this thesis, Gaussian process (GP) regression, a… (more)

Subjects/Keywords: SAGD; Optimization; Outliers; Robust identification; Gaussian process regression; EM algorithm

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APA (6th Edition):

Ranjan, R. (2015). Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b2773z58w

Chicago Manual of Style (16th Edition):

Ranjan, Rishik. “Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization.” 2015. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/b2773z58w.

MLA Handbook (7th Edition):

Ranjan, Rishik. “Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization.” 2015. Web. 25 Mar 2019.

Vancouver:

Ranjan R. Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/b2773z58w.

Council of Science Editors:

Ranjan R. Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/b2773z58w


University of Oulu

6. Nissilä, M. (Mauri). Iterative receivers for digital communications via variational inference and estimation.

Degree: 2008, University of Oulu

 Abstract In this thesis, iterative detection and estimation algorithms for digital communications systems in the presence of parametric uncertainty are explored and further developed. In… (more)

Subjects/Keywords: Bayesian inference and estimation; EM algorithm; frequency offset estimation; turbo receivers

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APA (6th Edition):

Nissilä, M. (. (2008). Iterative receivers for digital communications via variational inference and estimation. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514286865

Chicago Manual of Style (16th Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Doctoral Dissertation, University of Oulu. Accessed March 25, 2019. http://urn.fi/urn:isbn:9789514286865.

MLA Handbook (7th Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Web. 25 Mar 2019.

Vancouver:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Internet] [Doctoral dissertation]. University of Oulu; 2008. [cited 2019 Mar 25]. Available from: http://urn.fi/urn:isbn:9789514286865.

Council of Science Editors:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Doctoral Dissertation]. University of Oulu; 2008. Available from: http://urn.fi/urn:isbn:9789514286865


University of Guelph

7. Dang, Utkarsh. Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models .

Degree: 2014, University of Guelph

 Mixture models continue to be the dominant framework for modelling heterogeneity in data. A family of mixtures of multivariate exponential power distributions that can robustly… (more)

Subjects/Keywords: model-based clustering; mixture models; EM algorithm; competing risks

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APA (6th Edition):

Dang, U. (2014). Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8089

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):

Dang, Utkarsh. “Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models .” 2014. Thesis, University of Guelph. Accessed March 25, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8089.

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

MLA Handbook (7th Edition):

Dang, Utkarsh. “Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models .” 2014. Web. 25 Mar 2019.

Vancouver:

Dang U. Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models . [Internet] [Thesis]. University of Guelph; 2014. [cited 2019 Mar 25]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8089.

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

Council of Science Editors:

Dang U. Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models . [Thesis]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8089

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


NSYSU

8. Lin, Hung-Fu. Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm.

Degree: Master, Communications Engineering, 2010, NSYSU

 In this thesis, we consider the problem of distributed detection problem in cooperative communication networks when the channel state information (CSI) is unknown. The amplify-and-forward… (more)

Subjects/Keywords: EM Algorithm; joint detection and estimation; Amplify-and-Forward

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APA (6th Edition):

Lin, H. (2010). Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719110-174552

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):

Lin, Hung-Fu. “Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm.” 2010. Thesis, NSYSU. Accessed March 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719110-174552.

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

MLA Handbook (7th Edition):

Lin, Hung-Fu. “Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm.” 2010. Web. 25 Mar 2019.

Vancouver:

Lin H. Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Mar 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719110-174552.

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

Council of Science Editors:

Lin H. Joint Detection and Estimation in Cooperative Communication Systems with Correlated Channels Using EM Algorithm. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719110-174552

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


University of Alberta

9. Wu, Ouyang. <em class="hilite">EMem> Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification.

Degree: MS, Department of Chemical and Materials Engineering, 2015, University of Alberta

 In this thesis, under the EM algorithm framework, a multiple model approach is developed towards electricity price prediction, and the identification problem for errors-in-variables (EIV)… (more)

Subjects/Keywords: Pool price prediction; EM algorithm; Multiple model; Errors-in-variables

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APA (6th Edition):

Wu, O. (2015). EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/ccf95jb53m

Chicago Manual of Style (16th Edition):

Wu, Ouyang. “EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification.” 2015. Masters Thesis, University of Alberta. Accessed March 25, 2019. https://era.library.ualberta.ca/files/ccf95jb53m.

MLA Handbook (7th Edition):

Wu, Ouyang. “EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification.” 2015. Web. 25 Mar 2019.

Vancouver:

Wu O. EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Mar 25]. Available from: https://era.library.ualberta.ca/files/ccf95jb53m.

Council of Science Editors:

Wu O. EM Algorithm for Electricity Pool Price Prediction and Errors-in-variables Process Identification. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/ccf95jb53m

10. Kilpatrick, Alastair Morris. Novel stochastic and entropy-based Expectation-Maximisation algorithm for transcription factor binding site motif discovery.

Degree: PhD, 2015, University of Edinburgh

 The discovery of transcription factor binding site (TFBS) motifs remains an important and challenging problem in computational biology. This thesis presents MITSU, a novel algorithm(more)

Subjects/Keywords: 572.8; stochastic Expectation- Maximisation; stochastic EM; algorithm; motif discovery

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

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APA (6th Edition):

Kilpatrick, A. M. (2015). Novel stochastic and entropy-based Expectation-Maximisation algorithm for transcription factor binding site motif discovery. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/10489

Chicago Manual of Style (16th Edition):

Kilpatrick, Alastair Morris. “Novel stochastic and entropy-based Expectation-Maximisation algorithm for transcription factor binding site motif discovery.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed March 25, 2019. http://hdl.handle.net/1842/10489.

MLA Handbook (7th Edition):

Kilpatrick, Alastair Morris. “Novel stochastic and entropy-based Expectation-Maximisation algorithm for transcription factor binding site motif discovery.” 2015. Web. 25 Mar 2019.

Vancouver:

Kilpatrick AM. Novel stochastic and entropy-based Expectation-Maximisation algorithm for transcription factor binding site motif discovery. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1842/10489.

Council of Science Editors:

Kilpatrick AM. Novel stochastic and entropy-based Expectation-Maximisation algorithm for transcription factor binding site motif discovery. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/10489


University of Kentucky

11. Zhou, Feng. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.

Degree: 2014, University of Kentucky

 Mixture modeling has numerous applications. One particular interest is microarray data analysis. My dissertation research is focused on the Contaminated Chi-Square (CCS) Modeling and its… (more)

Subjects/Keywords: Contaminated Chi-Square Model; EM Algorithm; MLRT; Microarray; Mixture Model; Microarrays

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APA (6th Edition):

Zhou, F. (2014). Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. (Doctoral Dissertation). University of Kentucky. Retrieved from http://uknowledge.uky.edu/statistics_etds/7

Chicago Manual of Style (16th Edition):

Zhou, Feng. “Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.” 2014. Doctoral Dissertation, University of Kentucky. Accessed March 25, 2019. http://uknowledge.uky.edu/statistics_etds/7.

MLA Handbook (7th Edition):

Zhou, Feng. “Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.” 2014. Web. 25 Mar 2019.

Vancouver:

Zhou F. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. [Internet] [Doctoral dissertation]. University of Kentucky; 2014. [cited 2019 Mar 25]. Available from: http://uknowledge.uky.edu/statistics_etds/7.

Council of Science Editors:

Zhou F. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. [Doctoral Dissertation]. University of Kentucky; 2014. Available from: http://uknowledge.uky.edu/statistics_etds/7


University of Kentucky

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

Degree: 2016, University of Kentucky

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Wang, Hongyuan. “Statistical Inference on Dynamical Systems.” 2016. Doctoral Dissertation, University of Kentucky. Accessed March 25, 2019. http://uknowledge.uky.edu/statistics_etds/22.

MLA Handbook (7th Edition):

Wang, Hongyuan. “Statistical Inference on Dynamical Systems.” 2016. Web. 25 Mar 2019.

Vancouver:

Wang H. Statistical Inference on Dynamical Systems. [Internet] [Doctoral dissertation]. University of Kentucky; 2016. [cited 2019 Mar 25]. Available from: http://uknowledge.uky.edu/statistics_etds/22.

Council of Science Editors:

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


Penn State University

13. 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 March 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 Mar 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 Mar 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

14. 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 March 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 Mar 2019.

Vancouver:

Benaglia TA. NONPARAMETRIC ESTIMATION IN MULTIVARIATE FINITE MIXTURE MODELS. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2019 Mar 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

15. 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 March 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 Mar 2019.

Vancouver:

Liu R. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Mar 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

16. 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 March 25, 2019. https://etda.libraries.psu.edu/catalog/11889.

MLA Handbook (7th Edition):

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

Vancouver:

Chen W. A gradient model for studying genotype-. [Internet] [Masters thesis]. Penn State University; 2011. [cited 2019 Mar 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


University of Illinois – Chicago

17. Langi, Fima Lanra Fredrik Gerarld. Analysis of Survey Data with Non-Ignorable Missing Covariates.

Degree: 2017, University of Illinois – Chicago

 Missing data are common in survey sampling, which create a spectrum of inferential problems. In this thesis, a method to analyze survey data with potentially… (more)

Subjects/Keywords: missing data; survey sampling; maximum likelihood; EM algorithm

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APA (6th Edition):

Langi, F. L. F. G. (2017). Analysis of Survey Data with Non-Ignorable Missing Covariates. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22133

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):

Langi, Fima Lanra Fredrik Gerarld. “Analysis of Survey Data with Non-Ignorable Missing Covariates.” 2017. Thesis, University of Illinois – Chicago. Accessed March 25, 2019. http://hdl.handle.net/10027/22133.

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

MLA Handbook (7th Edition):

Langi, Fima Lanra Fredrik Gerarld. “Analysis of Survey Data with Non-Ignorable Missing Covariates.” 2017. Web. 25 Mar 2019.

Vancouver:

Langi FLFG. Analysis of Survey Data with Non-Ignorable Missing Covariates. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10027/22133.

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

Council of Science Editors:

Langi FLFG. Analysis of Survey Data with Non-Ignorable Missing Covariates. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22133

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


King Abdullah University of Science and Technology

18. Meng, Rui. Growth Curve Analysis and Change-Points Detection in Extremes.

Degree: 2016, King Abdullah University of Science and Technology

 The thesis consists of two coherent projects. The first project presents the results of evaluating salinity tolerance in barley using growth curve analysis where different… (more)

Subjects/Keywords: functional data; fitting; functional data registration; ANOVA model; algorithm; EM

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APA (6th Edition):

Meng, R. (2016). Growth Curve Analysis and Change-Points Detection in Extremes. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/609833

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):

Meng, Rui. “Growth Curve Analysis and Change-Points Detection in Extremes.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed March 25, 2019. http://hdl.handle.net/10754/609833.

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

MLA Handbook (7th Edition):

Meng, Rui. “Growth Curve Analysis and Change-Points Detection in Extremes.” 2016. Web. 25 Mar 2019.

Vancouver:

Meng R. Growth Curve Analysis and Change-Points Detection in Extremes. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10754/609833.

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

Council of Science Editors:

Meng R. Growth Curve Analysis and Change-Points Detection in Extremes. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/609833

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


University of Victoria

19. Li, Hang. Parameter estimation of queueing system using mixture model and the EM algorithm.

Degree: Department of Computer Science, 2016, University of Victoria

 Parameter estimation is a long-lasting topic in queueing systems and has attracted considerable attention from both academia and industry. In this thesis, we design a… (more)

Subjects/Keywords: EM algorithm; Queueing Theory; Mixture Model; Tandem Queueing System

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APA (6th Edition):

Li, H. (2016). Parameter estimation of queueing system using mixture model and the EM algorithm. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7647

Chicago Manual of Style (16th Edition):

Li, Hang. “Parameter estimation of queueing system using mixture model and the EM algorithm.” 2016. Masters Thesis, University of Victoria. Accessed March 25, 2019. http://hdl.handle.net/1828/7647.

MLA Handbook (7th Edition):

Li, Hang. “Parameter estimation of queueing system using mixture model and the EM algorithm.” 2016. Web. 25 Mar 2019.

Vancouver:

Li H. Parameter estimation of queueing system using mixture model and the EM algorithm. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1828/7647.

Council of Science Editors:

Li H. Parameter estimation of queueing system using mixture model and the EM algorithm. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7647


University of Sydney

20. Fitzpatrick, Matthew Anthony. Multi-regime models involving Markov chains .

Degree: 2016, University of Sydney

 In this work, we explore the theory and applications of various multi-regime models involving Markov chains. Markov chains are an elegant way to model path-dependent… (more)

Subjects/Keywords: Mixture models; Regime-switching; Change-point; MCMC; EM-Algorithm; Markov Chains

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APA (6th Edition):

Fitzpatrick, M. A. (2016). Multi-regime models involving Markov chains . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/14530

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):

Fitzpatrick, Matthew Anthony. “Multi-regime models involving Markov chains .” 2016. Thesis, University of Sydney. Accessed March 25, 2019. http://hdl.handle.net/2123/14530.

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

MLA Handbook (7th Edition):

Fitzpatrick, Matthew Anthony. “Multi-regime models involving Markov chains .” 2016. Web. 25 Mar 2019.

Vancouver:

Fitzpatrick MA. Multi-regime models involving Markov chains . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2123/14530.

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

Council of Science Editors:

Fitzpatrick MA. Multi-regime models involving Markov chains . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/14530

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


University of Toledo

21. Chowdhury, Tashnim Jabir Shovon. A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling.

Degree: MS, Electrical Engineering, 2016, University of Toledo

 Wireless sensor networks are defined as spatially distributed autonomous sensors to monitor certain physical or environmental conditions like temperature, pressure, sound, etc. and incorporate the… (more)

Subjects/Keywords: Electrical Engineering; Localization; wireless sensor networks; Gaussian mixture modeling; EM algorithm

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APA (6th Edition):

Chowdhury, T. J. S. (2016). A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602

Chicago Manual of Style (16th Edition):

Chowdhury, Tashnim Jabir Shovon. “A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling.” 2016. Masters Thesis, University of Toledo. Accessed March 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602.

MLA Handbook (7th Edition):

Chowdhury, Tashnim Jabir Shovon. “A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling.” 2016. Web. 25 Mar 2019.

Vancouver:

Chowdhury TJS. A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling. [Internet] [Masters thesis]. University of Toledo; 2016. [cited 2019 Mar 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602.

Council of Science Editors:

Chowdhury TJS. A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling. [Masters Thesis]. University of Toledo; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602

22. Xiang, Sijia. Minimum Hellinger distance estimation in a semiparametric mixture model.

Degree: MS, Department of Statistics, 2012, Kansas State University

 In this report, we introduce the minimum Hellinger distance (MHD) estimation method and review its history. We examine the use of Hellinger distance to obtain… (more)

Subjects/Keywords: Semiparametric mixture models; Minimum Hellinger distance; Semiparametric EM algorithm; Statistics (0463)

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

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APA (6th Edition):

Xiang, S. (2012). Minimum Hellinger distance estimation in a semiparametric mixture model. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/13762

Chicago Manual of Style (16th Edition):

Xiang, Sijia. “Minimum Hellinger distance estimation in a semiparametric mixture model.” 2012. Masters Thesis, Kansas State University. Accessed March 25, 2019. http://hdl.handle.net/2097/13762.

MLA Handbook (7th Edition):

Xiang, Sijia. “Minimum Hellinger distance estimation in a semiparametric mixture model.” 2012. Web. 25 Mar 2019.

Vancouver:

Xiang S. Minimum Hellinger distance estimation in a semiparametric mixture model. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2097/13762.

Council of Science Editors:

Xiang S. Minimum Hellinger distance estimation in a semiparametric mixture model. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13762


Uppsala University

23. 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 March 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 Mar 2019.

Vancouver:

Wang Z. Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study. [Internet] [Thesis]. Uppsala University; 2015. [cited 2019 Mar 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

24. 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 March 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 Mar 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 Mar 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


University of Waikato

25. Rohan, Maheswaran. Using Finite Mixtures to Robustify Statistical Models .

Degree: 2011, University of Waikato

 Abstract This thesis is concerned with robust estimation of the parameters of statistical models. Although robust estimation is a very good idea, it has some… (more)

Subjects/Keywords: Robust Statistics; Mixture Models; Statistical Models; EM Algorithm

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APA (6th Edition):

Rohan, M. (2011). Using Finite Mixtures to Robustify Statistical Models . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/5110

Chicago Manual of Style (16th Edition):

Rohan, Maheswaran. “Using Finite Mixtures to Robustify Statistical Models .” 2011. Doctoral Dissertation, University of Waikato. Accessed March 25, 2019. http://hdl.handle.net/10289/5110.

MLA Handbook (7th Edition):

Rohan, Maheswaran. “Using Finite Mixtures to Robustify Statistical Models .” 2011. Web. 25 Mar 2019.

Vancouver:

Rohan M. Using Finite Mixtures to Robustify Statistical Models . [Internet] [Doctoral dissertation]. University of Waikato; 2011. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10289/5110.

Council of Science Editors:

Rohan M. Using Finite Mixtures to Robustify Statistical Models . [Doctoral Dissertation]. University of Waikato; 2011. Available from: http://hdl.handle.net/10289/5110


University of KwaZulu-Natal

26. Ndlela, Thamsanqa Innocent. Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data.

Degree: 2017, University of KwaZulu-Natal

 Missing data is a very serious issue that negatively affect inferences and findings of researchers in data science and statistics. The ignorance of missing data… (more)

Subjects/Keywords: Cancer.; EM Algorithm.; Data augmentation.; Bayesian approach.; Missing data.

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APA (6th Edition):

Ndlela, T. I. (2017). Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15641

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):

Ndlela, Thamsanqa Innocent. “Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data.” 2017. Thesis, University of KwaZulu-Natal. Accessed March 25, 2019. http://hdl.handle.net/10413/15641.

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

MLA Handbook (7th Edition):

Ndlela, Thamsanqa Innocent. “Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data.” 2017. Web. 25 Mar 2019.

Vancouver:

Ndlela TI. Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10413/15641.

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

Council of Science Editors:

Ndlela TI. Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15641

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


North Carolina State University

27. 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 March 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 Mar 2019.

Vancouver:

Gong X. Mapping Quantitative Trait Loci in Outbred Half-sib Populations. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Mar 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


Virginia Tech

28. Chen, Shuo. The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models.

Degree: MS, Electrical and Computer Engineering, 2006, Virginia Tech

 With the onset of large-scale gene expression profiling, many researchers have turned their attention toward biological process modeling and system identification. The abundance of data… (more)

Subjects/Keywords: Gene Regulatory Networks; EM Algorithm

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APA (6th Edition):

Chen, S. (2006). The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36160

Chicago Manual of Style (16th Edition):

Chen, Shuo. “The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models.” 2006. Masters Thesis, Virginia Tech. Accessed March 25, 2019. http://hdl.handle.net/10919/36160.

MLA Handbook (7th Edition):

Chen, Shuo. “The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models.” 2006. Web. 25 Mar 2019.

Vancouver:

Chen S. The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10919/36160.

Council of Science Editors:

Chen S. The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/36160

29. Renata Santana Fonseca. Modelos de sobrevivência com fração de cura e omissão nas covariáveis.

Degree: 2009, Universidade Federal do Rio Grande do Norte

Neste trabalho estudamos o modelo de sobreviv^encia com fração de cura proposto por Yakovlev et al. (1993) que possui uma estrutura de riscos competitivos. Covariáveis… (more)

Subjects/Keywords: MATEMATICA APLICADA; Análise de sobrevivência; Fração de cura; Variáveis omissas; Algoritmo EM; Survival analysis; Rate cure; Missing data; EM algorithm

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APA (6th Edition):

Fonseca, R. S. (2009). Modelos de sobrevivência com fração de cura e omissão nas covariáveis. (Thesis). Universidade Federal do Rio Grande do Norte. Retrieved from http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=2432

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):

Fonseca, Renata Santana. “Modelos de sobrevivência com fração de cura e omissão nas covariáveis.” 2009. Thesis, Universidade Federal do Rio Grande do Norte. Accessed March 25, 2019. http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=2432.

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

MLA Handbook (7th Edition):

Fonseca, Renata Santana. “Modelos de sobrevivência com fração de cura e omissão nas covariáveis.” 2009. Web. 25 Mar 2019.

Vancouver:

Fonseca RS. Modelos de sobrevivência com fração de cura e omissão nas covariáveis. [Internet] [Thesis]. Universidade Federal do Rio Grande do Norte; 2009. [cited 2019 Mar 25]. Available from: http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=2432.

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

Council of Science Editors:

Fonseca RS. Modelos de sobrevivência com fração de cura e omissão nas covariáveis. [Thesis]. Universidade Federal do Rio Grande do Norte; 2009. Available from: http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=2432

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

30. Courbariaux, Marie. Contributions statistiques aux prévisions hydrométéorologiques par méthodes d’ensemble : Statistical contributions to hydrometeorological forecasting from ensemble methods.

Degree: Docteur es, Statistiques appliquées, 2017, Paris Saclay

Dans cette thèse, nous nous intéressons à la représentation et à la prise en compte des incertitudes dans les systèmes de prévision hydrologique probabilistes à… (more)

Subjects/Keywords: Prévisions d'ensemble; Hydrométéorologie; Post-Traitement statistique; Algorithme EM; Prévisions probabilistes; Ensemble forecasts; Hydrometeorology; Statistical post-processing; EM algorithm; Probabilistic forecasts; 551.57

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APA (6th Edition):

Courbariaux, M. (2017). Contributions statistiques aux prévisions hydrométéorologiques par méthodes d’ensemble : Statistical contributions to hydrometeorological forecasting from ensemble methods. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2017SACLA003

Chicago Manual of Style (16th Edition):

Courbariaux, Marie. “Contributions statistiques aux prévisions hydrométéorologiques par méthodes d’ensemble : Statistical contributions to hydrometeorological forecasting from ensemble methods.” 2017. Doctoral Dissertation, Paris Saclay. Accessed March 25, 2019. http://www.theses.fr/2017SACLA003.

MLA Handbook (7th Edition):

Courbariaux, Marie. “Contributions statistiques aux prévisions hydrométéorologiques par méthodes d’ensemble : Statistical contributions to hydrometeorological forecasting from ensemble methods.” 2017. Web. 25 Mar 2019.

Vancouver:

Courbariaux M. Contributions statistiques aux prévisions hydrométéorologiques par méthodes d’ensemble : Statistical contributions to hydrometeorological forecasting from ensemble methods. [Internet] [Doctoral dissertation]. Paris Saclay; 2017. [cited 2019 Mar 25]. Available from: http://www.theses.fr/2017SACLA003.

Council of Science Editors:

Courbariaux M. Contributions statistiques aux prévisions hydrométéorologiques par méthodes d’ensemble : Statistical contributions to hydrometeorological forecasting from ensemble methods. [Doctoral Dissertation]. Paris Saclay; 2017. Available from: http://www.theses.fr/2017SACLA003

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