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You searched for subject:(Latent variables). Showing records 1 – 30 of 88 total matches.

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Hong Kong University of Science and Technology

1. Poon, Kin Man. Latent tree models : an application and an extension.

Degree: 2012, Hong Kong University of Science and Technology

Latent tree models are a class of probabilistic graphical models. These models have a tree structure, in which the internal nodes represent latent variables whereas… (more)

Subjects/Keywords: Latent structure analysis ; Latent variables

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APA (6th Edition):

Poon, K. M. (2012). Latent tree models : an application and an extension. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7736 ; https://doi.org/10.14711/thesis-b1198634 ; http://repository.ust.hk/ir/bitstream/1783.1-7736/1/th_redirect.html

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):

Poon, Kin Man. “Latent tree models : an application and an extension.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed October 25, 2020. http://repository.ust.hk/ir/Record/1783.1-7736 ; https://doi.org/10.14711/thesis-b1198634 ; http://repository.ust.hk/ir/bitstream/1783.1-7736/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Poon, Kin Man. “Latent tree models : an application and an extension.” 2012. Web. 25 Oct 2020.

Vancouver:

Poon KM. Latent tree models : an application and an extension. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2020 Oct 25]. Available from: http://repository.ust.hk/ir/Record/1783.1-7736 ; https://doi.org/10.14711/thesis-b1198634 ; http://repository.ust.hk/ir/bitstream/1783.1-7736/1/th_redirect.html.

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

Council of Science Editors:

Poon KM. Latent tree models : an application and an extension. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: http://repository.ust.hk/ir/Record/1783.1-7736 ; https://doi.org/10.14711/thesis-b1198634 ; http://repository.ust.hk/ir/bitstream/1783.1-7736/1/th_redirect.html

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

2. Iaconangelo, Charles Joseph, 1985-. Uses of classification error probabilities in the three-step approach to estimating cognitive diagnosis models.

Degree: PhD, Education, 2017, Rutgers University

Classification error probabilities (CEPs) are estimates of the amount of misclassification in the measurement model conditional on the true latent class memberships. CEPs can be… (more)

Subjects/Keywords: Latent variables; Latent structure analysis

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APA (6th Edition):

Iaconangelo, Charles Joseph, 1. (2017). Uses of classification error probabilities in the three-step approach to estimating cognitive diagnosis models. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55495/

Chicago Manual of Style (16th Edition):

Iaconangelo, Charles Joseph, 1985-. “Uses of classification error probabilities in the three-step approach to estimating cognitive diagnosis models.” 2017. Doctoral Dissertation, Rutgers University. Accessed October 25, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55495/.

MLA Handbook (7th Edition):

Iaconangelo, Charles Joseph, 1985-. “Uses of classification error probabilities in the three-step approach to estimating cognitive diagnosis models.” 2017. Web. 25 Oct 2020.

Vancouver:

Iaconangelo, Charles Joseph 1. Uses of classification error probabilities in the three-step approach to estimating cognitive diagnosis models. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Oct 25]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55495/.

Council of Science Editors:

Iaconangelo, Charles Joseph 1. Uses of classification error probabilities in the three-step approach to estimating cognitive diagnosis models. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55495/


Hong Kong University of Science and Technology

3. Liu, Tengfei. Accelerated learning of latent tree models for topic detection and multidimensional clustering.

Degree: 2015, Hong Kong University of Science and Technology

Latent tree models (LTMs) are tree-structured probabilistic graphical models where the variables at leaf nodes are observed and the variables at internal nodes are latent.… (more)

Subjects/Keywords: Latent structure analysis ; Latent variables ; Multivariate analysis

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APA (6th Edition):

Liu, T. (2015). Accelerated learning of latent tree models for topic detection and multidimensional clustering. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html

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):

Liu, Tengfei. “Accelerated learning of latent tree models for topic detection and multidimensional clustering.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed October 25, 2020. http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Liu, Tengfei. “Accelerated learning of latent tree models for topic detection and multidimensional clustering.” 2015. Web. 25 Oct 2020.

Vancouver:

Liu T. Accelerated learning of latent tree models for topic detection and multidimensional clustering. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2020 Oct 25]. Available from: http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html.

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

Council of Science Editors:

Liu T. Accelerated learning of latent tree models for topic detection and multidimensional clustering. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-74522 ; https://doi.org/10.14711/thesis-b1477729 ; http://repository.ust.hk/ir/bitstream/1783.1-74522/1/th_redirect.html

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


Columbia University

4. Mittel, Louis Buchalter. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries.

Degree: 2017, Columbia University

Latent variables are often included in a model in order to capture the diversity among subjects in a population. Sometimes the distribution of these latent(more)

Subjects/Keywords: Statistics; Latent variables; Estimation theory

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APA (6th Edition):

Mittel, L. B. (2017). Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8JW8SFB

Chicago Manual of Style (16th Edition):

Mittel, Louis Buchalter. “Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries.” 2017. Doctoral Dissertation, Columbia University. Accessed October 25, 2020. https://doi.org/10.7916/D8JW8SFB.

MLA Handbook (7th Edition):

Mittel, Louis Buchalter. “Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries.” 2017. Web. 25 Oct 2020.

Vancouver:

Mittel LB. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2020 Oct 25]. Available from: https://doi.org/10.7916/D8JW8SFB.

Council of Science Editors:

Mittel LB. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8JW8SFB


University of Alberta

5. Rollins, Curtis. Exploring Preferences for Poplar Biotechnology and Integrated Choice Latent Variable Models.

Degree: MS, Department of Resource Economics and Environmental Sociology, 2015, University of Alberta

 This thesis is divided in two papers, each focusing on a distinct issue. In the first paper (Chapter 2), public preferences for poplar biotechnology are… (more)

Subjects/Keywords: Latent Variables; Public Preference; Genomics; Choice Model

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APA (6th Edition):

Rollins, C. (2015). Exploring Preferences for Poplar Biotechnology and Integrated Choice Latent Variable Models. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/1n79h7281

Chicago Manual of Style (16th Edition):

Rollins, Curtis. “Exploring Preferences for Poplar Biotechnology and Integrated Choice Latent Variable Models.” 2015. Masters Thesis, University of Alberta. Accessed October 25, 2020. https://era.library.ualberta.ca/files/1n79h7281.

MLA Handbook (7th Edition):

Rollins, Curtis. “Exploring Preferences for Poplar Biotechnology and Integrated Choice Latent Variable Models.” 2015. Web. 25 Oct 2020.

Vancouver:

Rollins C. Exploring Preferences for Poplar Biotechnology and Integrated Choice Latent Variable Models. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2020 Oct 25]. Available from: https://era.library.ualberta.ca/files/1n79h7281.

Council of Science Editors:

Rollins C. Exploring Preferences for Poplar Biotechnology and Integrated Choice Latent Variable Models. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/1n79h7281


University of Alberta

6. Zaman, Hamid. Investigation of commuting mode choice with respect to TDM policies.

Degree: MS, Department of Civil and Environmental Engineering, 2010, University of Alberta

 Travel Demand Management (TDM) is now considered one of the most important aspects of transportation planning and operation. The prime objective of TDM is to… (more)

Subjects/Keywords: TDM; Nested logit; Mode choice; Latent variables

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APA (6th Edition):

Zaman, H. (2010). Investigation of commuting mode choice with respect to TDM policies. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/g732d971f

Chicago Manual of Style (16th Edition):

Zaman, Hamid. “Investigation of commuting mode choice with respect to TDM policies.” 2010. Masters Thesis, University of Alberta. Accessed October 25, 2020. https://era.library.ualberta.ca/files/g732d971f.

MLA Handbook (7th Edition):

Zaman, Hamid. “Investigation of commuting mode choice with respect to TDM policies.” 2010. Web. 25 Oct 2020.

Vancouver:

Zaman H. Investigation of commuting mode choice with respect to TDM policies. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2020 Oct 25]. Available from: https://era.library.ualberta.ca/files/g732d971f.

Council of Science Editors:

Zaman H. Investigation of commuting mode choice with respect to TDM policies. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/g732d971f

7. Orchard, Peter Raymond. Sparse inverse covariance estimation in Gaussian graphical models.

Degree: PhD, 2014, University of Edinburgh

 One of the fundamental tasks in science is to find explainable relationships between observed phenomena. Recent work has addressed this problem by attempting to learn… (more)

Subjects/Keywords: sparsity; Gaussian; latent variables; copula; GWishart; HMC

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APA (6th Edition):

Orchard, P. R. (2014). Sparse inverse covariance estimation in Gaussian graphical models. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/9955

Chicago Manual of Style (16th Edition):

Orchard, Peter Raymond. “Sparse inverse covariance estimation in Gaussian graphical models.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed October 25, 2020. http://hdl.handle.net/1842/9955.

MLA Handbook (7th Edition):

Orchard, Peter Raymond. “Sparse inverse covariance estimation in Gaussian graphical models.” 2014. Web. 25 Oct 2020.

Vancouver:

Orchard PR. Sparse inverse covariance estimation in Gaussian graphical models. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/1842/9955.

Council of Science Editors:

Orchard PR. Sparse inverse covariance estimation in Gaussian graphical models. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/9955


Arizona State University

8. Miocevic, Milica. Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework.

Degree: Psychology, 2017, Arizona State University

 Statistical mediation analysis has been widely used in the social sciences in order to examine the indirect effects of an independent variable on a dependent… (more)

Subjects/Keywords: Quantitative psychology; Bayesian; latent variables; mediation analysis

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APA (6th Edition):

Miocevic, M. (2017). Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/44423

Chicago Manual of Style (16th Edition):

Miocevic, Milica. “Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework.” 2017. Doctoral Dissertation, Arizona State University. Accessed October 25, 2020. http://repository.asu.edu/items/44423.

MLA Handbook (7th Edition):

Miocevic, Milica. “Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework.” 2017. Web. 25 Oct 2020.

Vancouver:

Miocevic M. Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2020 Oct 25]. Available from: http://repository.asu.edu/items/44423.

Council of Science Editors:

Miocevic M. Statistical Properties of the Single Mediator Model with Latent Variables in the Bayesian Framework. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/44423


University of Missouri – Columbia

9. Shireman, Emilie, 1989-. Model selection in mixture modeling.

Degree: 2016, University of Missouri – Columbia

 In the psychological sciences, mixture modeling (also referred to as latent class or latent profile analysis) is very commonly used to find sub-populations within a… (more)

Subjects/Keywords: Latent variables; Psychology  – Research; Psychology  – Statistical methods

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APA (6th Edition):

Shireman, Emilie, 1. (2016). Model selection in mixture modeling. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/56988

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):

Shireman, Emilie, 1989-. “Model selection in mixture modeling.” 2016. Thesis, University of Missouri – Columbia. Accessed October 25, 2020. https://doi.org/10.32469/10355/56988.

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

MLA Handbook (7th Edition):

Shireman, Emilie, 1989-. “Model selection in mixture modeling.” 2016. Web. 25 Oct 2020.

Vancouver:

Shireman, Emilie 1. Model selection in mixture modeling. [Internet] [Thesis]. University of Missouri – Columbia; 2016. [cited 2020 Oct 25]. Available from: https://doi.org/10.32469/10355/56988.

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

Council of Science Editors:

Shireman, Emilie 1. Model selection in mixture modeling. [Thesis]. University of Missouri – Columbia; 2016. Available from: https://doi.org/10.32469/10355/56988

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


University of California – Riverside

10. Gray, Jacob. The Use of Discrete Latent Variables in Dyadic Data Analysis.

Degree: Psychology, 2018, University of California – Riverside

 Two topics of methodological research in the social sciences that have garnered recent attention are the topics of dyadic data analysis and the use of… (more)

Subjects/Keywords: Social psychology; Quantitative psychology; couples; dyadic data; latent class; latent variables

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APA (6th Edition):

Gray, J. (2018). The Use of Discrete Latent Variables in Dyadic Data Analysis. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/57t6k6c1

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):

Gray, Jacob. “The Use of Discrete Latent Variables in Dyadic Data Analysis.” 2018. Thesis, University of California – Riverside. Accessed October 25, 2020. http://www.escholarship.org/uc/item/57t6k6c1.

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

MLA Handbook (7th Edition):

Gray, Jacob. “The Use of Discrete Latent Variables in Dyadic Data Analysis.” 2018. Web. 25 Oct 2020.

Vancouver:

Gray J. The Use of Discrete Latent Variables in Dyadic Data Analysis. [Internet] [Thesis]. University of California – Riverside; 2018. [cited 2020 Oct 25]. Available from: http://www.escholarship.org/uc/item/57t6k6c1.

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

Council of Science Editors:

Gray J. The Use of Discrete Latent Variables in Dyadic Data Analysis. [Thesis]. University of California – Riverside; 2018. Available from: http://www.escholarship.org/uc/item/57t6k6c1

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


Columbia University

11. Liu, Xiang. Three Contributions to Latent Variable Modeling.

Degree: 2019, Columbia University

 The dissertation includes three papers that address some theoretical and technical issues of latent variable models. The first paper extends the uniformly most powerful test… (more)

Subjects/Keywords: Educational tests and measurements; Statistics; Latent structure analysis; Latent variables

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APA (6th Edition):

Liu, X. (2019). Three Contributions to Latent Variable Modeling. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8Q25H61

Chicago Manual of Style (16th Edition):

Liu, Xiang. “Three Contributions to Latent Variable Modeling.” 2019. Doctoral Dissertation, Columbia University. Accessed October 25, 2020. https://doi.org/10.7916/D8Q25H61.

MLA Handbook (7th Edition):

Liu, Xiang. “Three Contributions to Latent Variable Modeling.” 2019. Web. 25 Oct 2020.

Vancouver:

Liu X. Three Contributions to Latent Variable Modeling. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2020 Oct 25]. Available from: https://doi.org/10.7916/D8Q25H61.

Council of Science Editors:

Liu X. Three Contributions to Latent Variable Modeling. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/D8Q25H61


Brigham Young University

12. Pyper, Jordan Daniel. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.

Degree: MS, 2012, Brigham Young University

 A child's parents are the primary source of knowledge and learned behaviors for developing children, and the benefits or repercussions of certain parental practices can… (more)

Subjects/Keywords: latent variables; manifest variables; structural equation modeling; Bayesian methods; Frequentist methods; Statistics and Probability

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APA (6th Edition):

Pyper, J. D. (2012). Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd

Chicago Manual of Style (16th Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Masters Thesis, Brigham Young University. Accessed October 25, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

MLA Handbook (7th Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Web. 25 Oct 2020.

Vancouver:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2020 Oct 25]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

Council of Science Editors:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd


Universitat Politècnica de València

13. Vidal Puig, Santiago. FAULT DIAGNOSIS TOOLS IN MULTIVARIATE STATISTICAL PROCESS AND QUALITY CONTROL .

Degree: 2016, Universitat Politècnica de València

 [EN] An accurate fault diagnosis of both, faults sensors and real process faults have become more and more important for process monitoring (minimize downtime, increase… (more)

Subjects/Keywords: Fault Diagnosis; Statistical Process Monitoring; Latent variables; FDI; MSPC; MSQC

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APA (6th Edition):

Vidal Puig, S. (2016). FAULT DIAGNOSIS TOOLS IN MULTIVARIATE STATISTICAL PROCESS AND QUALITY CONTROL . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/61292

Chicago Manual of Style (16th Edition):

Vidal Puig, Santiago. “FAULT DIAGNOSIS TOOLS IN MULTIVARIATE STATISTICAL PROCESS AND QUALITY CONTROL .” 2016. Doctoral Dissertation, Universitat Politècnica de València. Accessed October 25, 2020. http://hdl.handle.net/10251/61292.

MLA Handbook (7th Edition):

Vidal Puig, Santiago. “FAULT DIAGNOSIS TOOLS IN MULTIVARIATE STATISTICAL PROCESS AND QUALITY CONTROL .” 2016. Web. 25 Oct 2020.

Vancouver:

Vidal Puig S. FAULT DIAGNOSIS TOOLS IN MULTIVARIATE STATISTICAL PROCESS AND QUALITY CONTROL . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2016. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10251/61292.

Council of Science Editors:

Vidal Puig S. FAULT DIAGNOSIS TOOLS IN MULTIVARIATE STATISTICAL PROCESS AND QUALITY CONTROL . [Doctoral Dissertation]. Universitat Politècnica de València; 2016. Available from: http://hdl.handle.net/10251/61292


University of Guelph

14. Tang, Yang. Model-based clustering of high-dimensional binary data.

Degree: MS, Department of Mathematics and Statistics, 2013, University of Guelph

 We present a mixture of latent trait models with common slope parameters (MCLT) for high dimensional binary data, a data type for which few established… (more)

Subjects/Keywords: binary data; clustering; high dimension; latent variables; mixture models

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APA (6th Edition):

Tang, Y. (2013). Model-based clustering of high-dimensional binary data. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458

Chicago Manual of Style (16th Edition):

Tang, Yang. “Model-based clustering of high-dimensional binary data.” 2013. Masters Thesis, University of Guelph. Accessed October 25, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458.

MLA Handbook (7th Edition):

Tang, Yang. “Model-based clustering of high-dimensional binary data.” 2013. Web. 25 Oct 2020.

Vancouver:

Tang Y. Model-based clustering of high-dimensional binary data. [Internet] [Masters thesis]. University of Guelph; 2013. [cited 2020 Oct 25]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458.

Council of Science Editors:

Tang Y. Model-based clustering of high-dimensional binary data. [Masters Thesis]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458


Colorado State University

15. Schliep, Erin M. Spatial probit models for multivariate ordinal data: computational efficiency and parameter identifiability.

Degree: PhD, Statistics, 2013, Colorado State University

 The Colorado Natural Heritage Program (CNHP) at Colorado State University evaluates Colorado's rare and at-risk species and habitats and promotes conservation of biological resources. One… (more)

Subjects/Keywords: Bayesian; identifiability; latent variables; ordinal data; probit; spatial

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APA (6th Edition):

Schliep, E. M. (2013). Spatial probit models for multivariate ordinal data: computational efficiency and parameter identifiability. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80174

Chicago Manual of Style (16th Edition):

Schliep, Erin M. “Spatial probit models for multivariate ordinal data: computational efficiency and parameter identifiability.” 2013. Doctoral Dissertation, Colorado State University. Accessed October 25, 2020. http://hdl.handle.net/10217/80174.

MLA Handbook (7th Edition):

Schliep, Erin M. “Spatial probit models for multivariate ordinal data: computational efficiency and parameter identifiability.” 2013. Web. 25 Oct 2020.

Vancouver:

Schliep EM. Spatial probit models for multivariate ordinal data: computational efficiency and parameter identifiability. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10217/80174.

Council of Science Editors:

Schliep EM. Spatial probit models for multivariate ordinal data: computational efficiency and parameter identifiability. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80174


Hong Kong University of Science and Technology

16. Wang, Yi. Latent tree models for multivariate density estimation : algorithms and applications.

Degree: 2009, Hong Kong University of Science and Technology

 Multivariate density estimation is a fundamental problem in Applied Statistics and Machine Learning. Given a collection of data sampled from an unknown distribution, the task… (more)

Subjects/Keywords: Multivariate analysis ; Latent variables

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

APA (6th Edition):

Wang, Y. (2009). Latent tree models for multivariate density estimation : algorithms and applications. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-6323 ; https://doi.org/10.14711/thesis-b1070815 ; http://repository.ust.hk/ir/bitstream/1783.1-6323/1/th_redirect.html

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, Yi. “Latent tree models for multivariate density estimation : algorithms and applications.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed October 25, 2020. http://repository.ust.hk/ir/Record/1783.1-6323 ; https://doi.org/10.14711/thesis-b1070815 ; http://repository.ust.hk/ir/bitstream/1783.1-6323/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wang, Yi. “Latent tree models for multivariate density estimation : algorithms and applications.” 2009. Web. 25 Oct 2020.

Vancouver:

Wang Y. Latent tree models for multivariate density estimation : algorithms and applications. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2020 Oct 25]. Available from: http://repository.ust.hk/ir/Record/1783.1-6323 ; https://doi.org/10.14711/thesis-b1070815 ; http://repository.ust.hk/ir/bitstream/1783.1-6323/1/th_redirect.html.

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

Council of Science Editors:

Wang Y. Latent tree models for multivariate density estimation : algorithms and applications. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: http://repository.ust.hk/ir/Record/1783.1-6323 ; https://doi.org/10.14711/thesis-b1070815 ; http://repository.ust.hk/ir/bitstream/1783.1-6323/1/th_redirect.html

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


University of Melbourne

17. de Araujo, Luis Fernando Silva Castro. Dimensional constructs and methods for their treatment in psychiatry research.

Degree: 2018, University of Melbourne

 Psychiatry has lagged behind other fields within the cognitive sciences regarding the analysis of dimensional constructs. This has surely improved recently by diagnostic classifications’ organisation… (more)

Subjects/Keywords: psychiatry; latent variables; structural equation model; philosophy of psychiatry

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

APA (6th Edition):

de Araujo, L. F. S. C. (2018). Dimensional constructs and methods for their treatment in psychiatry research. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/211685

Chicago Manual of Style (16th Edition):

de Araujo, Luis Fernando Silva Castro. “Dimensional constructs and methods for their treatment in psychiatry research.” 2018. Doctoral Dissertation, University of Melbourne. Accessed October 25, 2020. http://hdl.handle.net/11343/211685.

MLA Handbook (7th Edition):

de Araujo, Luis Fernando Silva Castro. “Dimensional constructs and methods for their treatment in psychiatry research.” 2018. Web. 25 Oct 2020.

Vancouver:

de Araujo LFSC. Dimensional constructs and methods for their treatment in psychiatry research. [Internet] [Doctoral dissertation]. University of Melbourne; 2018. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/11343/211685.

Council of Science Editors:

de Araujo LFSC. Dimensional constructs and methods for their treatment in psychiatry research. [Doctoral Dissertation]. University of Melbourne; 2018. Available from: http://hdl.handle.net/11343/211685


University of Waterloo

18. Fang, Yizhou. Computationally Efficient Multi-Asset Stochastic Volatility Modeling.

Degree: 2018, University of Waterloo

 Stochastic volatility (SV) models are popular in financial modeling, because they capture the inherent uncertainty of the asset volatility. Since assets are observed to co-move… (more)

Subjects/Keywords: Bayesian Inference; Stochastic Volatility; Latent Variables; Multiple Assets

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

APA (6th Edition):

Fang, Y. (2018). Computationally Efficient Multi-Asset Stochastic Volatility Modeling. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13663

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):

Fang, Yizhou. “Computationally Efficient Multi-Asset Stochastic Volatility Modeling.” 2018. Thesis, University of Waterloo. Accessed October 25, 2020. http://hdl.handle.net/10012/13663.

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

MLA Handbook (7th Edition):

Fang, Yizhou. “Computationally Efficient Multi-Asset Stochastic Volatility Modeling.” 2018. Web. 25 Oct 2020.

Vancouver:

Fang Y. Computationally Efficient Multi-Asset Stochastic Volatility Modeling. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10012/13663.

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

Council of Science Editors:

Fang Y. Computationally Efficient Multi-Asset Stochastic Volatility Modeling. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13663

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


Princeton University

19. Cabreros, Irineo C. Latent Variable Modeling and Causal Inference in Population-Structured Genetics .

Degree: PhD, 2020, Princeton University

 Nonrandomly mating populations, referred to as structured populations, are commonly encountered in genetic studies. A common characteristic of structured populations is that separate subpopulations differ… (more)

Subjects/Keywords: Causal Inference; Latent Variables; Population Genetics; Population Structure; Statistical Genetics; Statistics

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APA (6th Edition):

Cabreros, I. C. (2020). Latent Variable Modeling and Causal Inference in Population-Structured Genetics . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01x920g081v

Chicago Manual of Style (16th Edition):

Cabreros, Irineo C. “Latent Variable Modeling and Causal Inference in Population-Structured Genetics .” 2020. Doctoral Dissertation, Princeton University. Accessed October 25, 2020. http://arks.princeton.edu/ark:/88435/dsp01x920g081v.

MLA Handbook (7th Edition):

Cabreros, Irineo C. “Latent Variable Modeling and Causal Inference in Population-Structured Genetics .” 2020. Web. 25 Oct 2020.

Vancouver:

Cabreros IC. Latent Variable Modeling and Causal Inference in Population-Structured Genetics . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2020 Oct 25]. Available from: http://arks.princeton.edu/ark:/88435/dsp01x920g081v.

Council of Science Editors:

Cabreros IC. Latent Variable Modeling and Causal Inference in Population-Structured Genetics . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01x920g081v


Hong Kong University of Science and Technology

20. Chen, Tao. Search-based learning of latent tree models.

Degree: 2009, Hong Kong University of Science and Technology

 A latent variable model is a statistical model that relates a set of observed variables (aka manifest variables) to a set of unobserved variables (aka… (more)

Subjects/Keywords: Latent structure analysis ; Latent variables ; Search theory ; Algorithms

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

APA (6th Edition):

Chen, T. (2009). Search-based learning of latent tree models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5953 ; https://doi.org/10.14711/thesis-b1041208 ; http://repository.ust.hk/ir/bitstream/1783.1-5953/1/th_redirect.html

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):

Chen, Tao. “Search-based learning of latent tree models.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed October 25, 2020. http://repository.ust.hk/ir/Record/1783.1-5953 ; https://doi.org/10.14711/thesis-b1041208 ; http://repository.ust.hk/ir/bitstream/1783.1-5953/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Chen, Tao. “Search-based learning of latent tree models.” 2009. Web. 25 Oct 2020.

Vancouver:

Chen T. Search-based learning of latent tree models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2020 Oct 25]. Available from: http://repository.ust.hk/ir/Record/1783.1-5953 ; https://doi.org/10.14711/thesis-b1041208 ; http://repository.ust.hk/ir/bitstream/1783.1-5953/1/th_redirect.html.

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

Council of Science Editors:

Chen T. Search-based learning of latent tree models. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: http://repository.ust.hk/ir/Record/1783.1-5953 ; https://doi.org/10.14711/thesis-b1041208 ; http://repository.ust.hk/ir/bitstream/1783.1-5953/1/th_redirect.html

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


University of South Carolina

21. Liang, Yawei. Cluster Analysis of Mixed-Mode Data.

Degree: PhD, Statistics, 2019, University of South Carolina

  In the modern world, data have become increasingly more complex and often contain different types of features. Two very common types of features are… (more)

Subjects/Keywords: Statistics and Probability; continuous variables; discrete variables; Clustering mixed-mode data; latent realization method; finite mixture model

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

APA (6th Edition):

Liang, Y. (2019). Cluster Analysis of Mixed-Mode Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5305

Chicago Manual of Style (16th Edition):

Liang, Yawei. “Cluster Analysis of Mixed-Mode Data.” 2019. Doctoral Dissertation, University of South Carolina. Accessed October 25, 2020. https://scholarcommons.sc.edu/etd/5305.

MLA Handbook (7th Edition):

Liang, Yawei. “Cluster Analysis of Mixed-Mode Data.” 2019. Web. 25 Oct 2020.

Vancouver:

Liang Y. Cluster Analysis of Mixed-Mode Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2019. [cited 2020 Oct 25]. Available from: https://scholarcommons.sc.edu/etd/5305.

Council of Science Editors:

Liang Y. Cluster Analysis of Mixed-Mode Data. [Doctoral Dissertation]. University of South Carolina; 2019. Available from: https://scholarcommons.sc.edu/etd/5305


University of California – Berkeley

22. Petrov, Slav Orlinov. Coarse-to-Fine Natural Language Processing.

Degree: Computer Science, 2009, University of California – Berkeley

 State-of-the-art natural language processing models are anything but compact. Syntactic parsers have huge grammars, machine translation systems have huge transfer tables, and so on across… (more)

Subjects/Keywords: Computer Science; Artificial Intelligence; Latent Variables; Machine Learning; Machine Translation; Natural Language Processing; Parsing; Speech

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

APA (6th Edition):

Petrov, S. O. (2009). Coarse-to-Fine Natural Language Processing. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/8kp924f2

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):

Petrov, Slav Orlinov. “Coarse-to-Fine Natural Language Processing.” 2009. Thesis, University of California – Berkeley. Accessed October 25, 2020. http://www.escholarship.org/uc/item/8kp924f2.

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

MLA Handbook (7th Edition):

Petrov, Slav Orlinov. “Coarse-to-Fine Natural Language Processing.” 2009. Web. 25 Oct 2020.

Vancouver:

Petrov SO. Coarse-to-Fine Natural Language Processing. [Internet] [Thesis]. University of California – Berkeley; 2009. [cited 2020 Oct 25]. Available from: http://www.escholarship.org/uc/item/8kp924f2.

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

Council of Science Editors:

Petrov SO. Coarse-to-Fine Natural Language Processing. [Thesis]. University of California – Berkeley; 2009. Available from: http://www.escholarship.org/uc/item/8kp924f2

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


Universidade Estadual de Campinas

23. Costa, Denise Reis, 1985-. Estimação robusta em modelos de variáveis latentes para dados censurados: Robust estimation in latent variable models for censored data.

Degree: 2013, Universidade Estadual de Campinas

 Abstract: Latent variable models are broadly used by psychometrists, econometrists and social science researchers to model variables that cannnot be directly measured, known as constructs… (more)

Subjects/Keywords: Variáveis latentes; Estimativa de parâmetro; Métodos estatísticos robustos; Latent variables; Parameter estimation; Robust statistical methods

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

APA (6th Edition):

Costa, Denise Reis, 1. (2013). Estimação robusta em modelos de variáveis latentes para dados censurados: Robust estimation in latent variable models for censored data. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/306683

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):

Costa, Denise Reis, 1985-. “Estimação robusta em modelos de variáveis latentes para dados censurados: Robust estimation in latent variable models for censored data.” 2013. Thesis, Universidade Estadual de Campinas. Accessed October 25, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306683.

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

MLA Handbook (7th Edition):

Costa, Denise Reis, 1985-. “Estimação robusta em modelos de variáveis latentes para dados censurados: Robust estimation in latent variable models for censored data.” 2013. Web. 25 Oct 2020.

Vancouver:

Costa, Denise Reis 1. Estimação robusta em modelos de variáveis latentes para dados censurados: Robust estimation in latent variable models for censored data. [Internet] [Thesis]. Universidade Estadual de Campinas; 2013. [cited 2020 Oct 25]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/306683.

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

Council of Science Editors:

Costa, Denise Reis 1. Estimação robusta em modelos de variáveis latentes para dados censurados: Robust estimation in latent variable models for censored data. [Thesis]. Universidade Estadual de Campinas; 2013. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/306683

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


Columbia University

24. Fang, Guanhua. Latent Variable Models in Measurement: Theory and Application.

Degree: 2020, Columbia University

Latent variable models play an important role in educational and psychological measurement, where items are presented to individuals, resulting in item response data. Such data… (more)

Subjects/Keywords: Statistics; Latent variables; Mathematical models; Psychometrics – Mathematical models; Educational tests and measurements

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

APA (6th Edition):

Fang, G. (2020). Latent Variable Models in Measurement: Theory and Application. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-gghx-v227

Chicago Manual of Style (16th Edition):

Fang, Guanhua. “Latent Variable Models in Measurement: Theory and Application.” 2020. Doctoral Dissertation, Columbia University. Accessed October 25, 2020. https://doi.org/10.7916/d8-gghx-v227.

MLA Handbook (7th Edition):

Fang, Guanhua. “Latent Variable Models in Measurement: Theory and Application.” 2020. Web. 25 Oct 2020.

Vancouver:

Fang G. Latent Variable Models in Measurement: Theory and Application. [Internet] [Doctoral dissertation]. Columbia University; 2020. [cited 2020 Oct 25]. Available from: https://doi.org/10.7916/d8-gghx-v227.

Council of Science Editors:

Fang G. Latent Variable Models in Measurement: Theory and Application. [Doctoral Dissertation]. Columbia University; 2020. Available from: https://doi.org/10.7916/d8-gghx-v227


Columbia University

25. Han, Zhuangzhuang. Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement.

Degree: 2019, Columbia University

 This dissertation encompasses three studies on issues of model-data fit methods for latent variable models implemented in modern educational measurement. The first study proposes a… (more)

Subjects/Keywords: Educational tests and measurements; Latent variables; Statistics; Educational tests and measurements – Mathematical models

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

APA (6th Edition):

Han, Z. (2019). Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-b6wk-6339

Chicago Manual of Style (16th Edition):

Han, Zhuangzhuang. “Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement.” 2019. Doctoral Dissertation, Columbia University. Accessed October 25, 2020. https://doi.org/10.7916/d8-b6wk-6339.

MLA Handbook (7th Edition):

Han, Zhuangzhuang. “Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement.” 2019. Web. 25 Oct 2020.

Vancouver:

Han Z. Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2020 Oct 25]. Available from: https://doi.org/10.7916/d8-b6wk-6339.

Council of Science Editors:

Han Z. Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-b6wk-6339


University of Washington

26. Beam, Colin Stuart. Models of human causal learning: review, synthesis, generalization. (A long argument for a short rule).

Degree: PhD, 2017, University of Washington

 This dissertation is composed of three major components. The first reviews models of causal learning with special emphasis given to Bayesian approaches. The second component… (more)

Subjects/Keywords: Bayesian models; causal learning; heuristics; latent variables; levels of analysis; Cognitive psychology; Psychology

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

APA (6th Edition):

Beam, C. S. (2017). Models of human causal learning: review, synthesis, generalization. (A long argument for a short rule). (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/38679

Chicago Manual of Style (16th Edition):

Beam, Colin Stuart. “Models of human causal learning: review, synthesis, generalization. (A long argument for a short rule).” 2017. Doctoral Dissertation, University of Washington. Accessed October 25, 2020. http://hdl.handle.net/1773/38679.

MLA Handbook (7th Edition):

Beam, Colin Stuart. “Models of human causal learning: review, synthesis, generalization. (A long argument for a short rule).” 2017. Web. 25 Oct 2020.

Vancouver:

Beam CS. Models of human causal learning: review, synthesis, generalization. (A long argument for a short rule). [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/1773/38679.

Council of Science Editors:

Beam CS. Models of human causal learning: review, synthesis, generalization. (A long argument for a short rule). [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/38679


New Jersey Institute of Technology

27. Aalderks, Daniel Richard. Using latent semantic analysis to detect non-cognitive variables of academic performance.

Degree: MSin Professional and Technical Communication - (M.S.), Humanities, 2014, New Jersey Institute of Technology

  This thesis explores the possibilities of using latent semantic analysis to detect evidence of intrapersonal personality variables in post-secondary student essays. Determining student achievement… (more)

Subjects/Keywords: Latent semantic analysis; Student achievement; Non-cognitive variables; Technical and Professional Writing

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APA (6th Edition):

Aalderks, D. R. (2014). Using latent semantic analysis to detect non-cognitive variables of academic performance. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/181

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):

Aalderks, Daniel Richard. “Using latent semantic analysis to detect non-cognitive variables of academic performance.” 2014. Thesis, New Jersey Institute of Technology. Accessed October 25, 2020. https://digitalcommons.njit.edu/theses/181.

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

MLA Handbook (7th Edition):

Aalderks, Daniel Richard. “Using latent semantic analysis to detect non-cognitive variables of academic performance.” 2014. Web. 25 Oct 2020.

Vancouver:

Aalderks DR. Using latent semantic analysis to detect non-cognitive variables of academic performance. [Internet] [Thesis]. New Jersey Institute of Technology; 2014. [cited 2020 Oct 25]. Available from: https://digitalcommons.njit.edu/theses/181.

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

Council of Science Editors:

Aalderks DR. Using latent semantic analysis to detect non-cognitive variables of academic performance. [Thesis]. New Jersey Institute of Technology; 2014. Available from: https://digitalcommons.njit.edu/theses/181

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


Duquesne University

28. Maldonado, Hernan. Bayesian Regression Inference Using a Normal Mixture Model.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 In this thesis we develop a two component mixture model to perform a Bayesian regression. We implement our model computationally using the Gibbs sampler algorithm… (more)

Subjects/Keywords: Bayesian regression; Gibbs sampler; Label switching problem; Latent variables; Mixture models; Two component

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

APA (6th Edition):

Maldonado, H. (2012). Bayesian Regression Inference Using a Normal Mixture Model. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/859

Chicago Manual of Style (16th Edition):

Maldonado, Hernan. “Bayesian Regression Inference Using a Normal Mixture Model.” 2012. Masters Thesis, Duquesne University. Accessed October 25, 2020. https://dsc.duq.edu/etd/859.

MLA Handbook (7th Edition):

Maldonado, Hernan. “Bayesian Regression Inference Using a Normal Mixture Model.” 2012. Web. 25 Oct 2020.

Vancouver:

Maldonado H. Bayesian Regression Inference Using a Normal Mixture Model. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2020 Oct 25]. Available from: https://dsc.duq.edu/etd/859.

Council of Science Editors:

Maldonado H. Bayesian Regression Inference Using a Normal Mixture Model. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/859


University of Missouri – Columbia

29. Su, Ihui. Passage-related local item dependence and spurious latent classes in the mixture Rasch model : a simulation study.

Degree: 2013, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Mixture Rasch models, which are often used to investigate response strategy difference, differential item functioning,… (more)

Subjects/Keywords: Educational statistics; Mixtures  – Statistical methods; Latent variables; Rasch models; Educational tests and measurements

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

APA (6th Edition):

Su, I. (2013). Passage-related local item dependence and spurious latent classes in the mixture Rasch model : a simulation study. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/43138

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):

Su, Ihui. “Passage-related local item dependence and spurious latent classes in the mixture Rasch model : a simulation study.” 2013. Thesis, University of Missouri – Columbia. Accessed October 25, 2020. https://doi.org/10.32469/10355/43138.

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

MLA Handbook (7th Edition):

Su, Ihui. “Passage-related local item dependence and spurious latent classes in the mixture Rasch model : a simulation study.” 2013. Web. 25 Oct 2020.

Vancouver:

Su I. Passage-related local item dependence and spurious latent classes in the mixture Rasch model : a simulation study. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Oct 25]. Available from: https://doi.org/10.32469/10355/43138.

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

Council of Science Editors:

Su I. Passage-related local item dependence and spurious latent classes in the mixture Rasch model : a simulation study. [Thesis]. University of Missouri – Columbia; 2013. Available from: https://doi.org/10.32469/10355/43138

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


University of North Texas

30. Granado, Elvalicia A. Comparing Three Effect Sizes for Latent Class Analysis.

Degree: 2015, University of North Texas

 Traditional latent class analysis (LCA) considers entropy R2 as the only measure of effect size. However, entropy may not always be reliable, a low boundary… (more)

Subjects/Keywords: latent class analysis; effect size; entropy R2; I-index; Cohen’s d; classification accuracy; Monte Carlo study; Latent structure analysis.; Latent variables.; Effect sizes (Statistics); Error analysis (Mathematics)

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APA (6th Edition):

Granado, E. A. (2015). Comparing Three Effect Sizes for Latent Class Analysis. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc822835/

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):

Granado, Elvalicia A. “Comparing Three Effect Sizes for Latent Class Analysis.” 2015. Thesis, University of North Texas. Accessed October 25, 2020. https://digital.library.unt.edu/ark:/67531/metadc822835/.

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

MLA Handbook (7th Edition):

Granado, Elvalicia A. “Comparing Three Effect Sizes for Latent Class Analysis.” 2015. Web. 25 Oct 2020.

Vancouver:

Granado EA. Comparing Three Effect Sizes for Latent Class Analysis. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Oct 25]. Available from: https://digital.library.unt.edu/ark:/67531/metadc822835/.

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

Council of Science Editors:

Granado EA. Comparing Three Effect Sizes for Latent Class Analysis. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc822835/

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

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