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Penn State University

1.
Wang, Hang.
Parsimonious *Model* Selection Based on Bayesian Information Criterion and a *Mixture*-based Hybrid *Model* on Image Classification.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16555hzw81

► My thesis research contains two parts of work. The first part of my work revisits a previous paper about Parsimonious Topic *Model*, and modifies the…
(more)

Subjects/Keywords: Mixture Model; Transfer Learning; CNN

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

APA (6^{th} Edition):

Wang, H. (2019). Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16555hzw81

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Wang, Hang. “Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification.” 2019. Thesis, Penn State University. Accessed October 24, 2020. https://submit-etda.libraries.psu.edu/catalog/16555hzw81.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Hang. “Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification.” 2019. Web. 24 Oct 2020.

Vancouver:

Wang H. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 24]. Available from: https://submit-etda.libraries.psu.edu/catalog/16555hzw81.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang H. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16555hzw81

Not specified: Masters Thesis or Doctoral Dissertation

Victoria University of Wellington

2. Neubauer, Philipp. Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation.

Degree: 2012, Victoria University of Wellington

URL: http://hdl.handle.net/10063/2051

► Connectivity between local populations is critical if these are to function as a metapopulation and sustain locally open sink populations. Assessing whether such connections between…
(more)

Subjects/Keywords: Otolith; Mixture model; Larval dispersal

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APA (6^{th} Edition):

Neubauer, P. (2012). Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2051

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

Neubauer, Philipp. “Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation.” 2012. Doctoral Dissertation, Victoria University of Wellington. Accessed October 24, 2020. http://hdl.handle.net/10063/2051.

MLA Handbook (7^{th} Edition):

Neubauer, Philipp. “Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation.” 2012. Web. 24 Oct 2020.

Vancouver:

Neubauer P. Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2012. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10063/2051.

Council of Science Editors:

Neubauer P. Development and Application of Otolith-Based Methods to Infer Demographic Connections in a Marine Metapopulation. [Doctoral Dissertation]. Victoria University of Wellington; 2012. Available from: http://hdl.handle.net/10063/2051

Virginia Tech

3.
Zhang, Dengfeng.
Latent Class *Model* in Transportation Study.

Degree: PhD, Statistics, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/51203

► Statistics, as a critical component in transportation research, has been widely used to analyze driver safety, travel time, traffic flow and numerous other problems. Many…
(more)

Subjects/Keywords: Transportation; Mixture model; Quantile regression

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APA (6^{th} Edition):

Zhang, D. (2015). Latent Class Model in Transportation Study. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51203

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

Zhang, Dengfeng. “Latent Class Model in Transportation Study.” 2015. Doctoral Dissertation, Virginia Tech. Accessed October 24, 2020. http://hdl.handle.net/10919/51203.

MLA Handbook (7^{th} Edition):

Zhang, Dengfeng. “Latent Class Model in Transportation Study.” 2015. Web. 24 Oct 2020.

Vancouver:

Zhang D. Latent Class Model in Transportation Study. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10919/51203.

Council of Science Editors:

Zhang D. Latent Class Model in Transportation Study. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51203

McMaster University

4.
Zhang, Xu Xuan.
Non-Gaussian *Mixture* *Model* Averaging for Clustering.

Degree: MSc, 2016, McMaster University

URL: http://hdl.handle.net/11375/20792

►

The Gaussian *mixture* *model* has been used for *model*-based clustering analysis for decades. Most *model*-based clustering analyses are based on the Gaussian *mixture* *model*. *Model*…
(more)

Subjects/Keywords: Model-based Clustering; Model Averaging; Mixture Models

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

APA (6^{th} Edition):

Zhang, X. X. (2016). Non-Gaussian Mixture Model Averaging for Clustering. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20792

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

Zhang, Xu Xuan. “Non-Gaussian Mixture Model Averaging for Clustering.” 2016. Masters Thesis, McMaster University. Accessed October 24, 2020. http://hdl.handle.net/11375/20792.

MLA Handbook (7^{th} Edition):

Zhang, Xu Xuan. “Non-Gaussian Mixture Model Averaging for Clustering.” 2016. Web. 24 Oct 2020.

Vancouver:

Zhang XX. Non-Gaussian Mixture Model Averaging for Clustering. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11375/20792.

Council of Science Editors:

Zhang XX. Non-Gaussian Mixture Model Averaging for Clustering. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20792

University of Illinois – Chicago

5.
Huang, Ziqian.
Segmentation of Financial and Marketing Data: *Mixture* Logit *model* and Hidden Markov * Model*.

Degree: 2012, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/9611

► Segmentation refers to the assignment of each consumer to a set of similar consumers. The formation of the sets and the assignments are done simultaneously…
(more)

Subjects/Keywords: Segmentation; Finite Mixture Model; Mixture Logit Model; Hidden Markov Model; Quantitative Marketing Model

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

APA (6^{th} Edition):

Huang, Z. (2012). Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9611

Not specified: Masters Thesis or Doctoral Dissertation

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

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Thesis, University of Illinois – Chicago. Accessed October 24, 2020. http://hdl.handle.net/10027/9611.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Web. 24 Oct 2020.

Vancouver:

Huang Z. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10027/9611.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Z. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9611

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

6.
Niu, Xiaoqing.
Homogeneity test in finite *mixture* models using
EM-test.

Degree: PhD, Department of Mathematical and Statistical Sciences, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/cpz50gw21c

► The class of finite *mixture* models is widely used in many areas, including science, humanities, medicine, engineering, among many others. Testing homogeneity is one of…
(more)

Subjects/Keywords: EM-test; multivariate mixture model; scale mixture of normal model; contaminated normal model; mixture model; homogeneity test

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

APA (6^{th} Edition):

Niu, X. (2013). Homogeneity test in finite mixture models using EM-test. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cpz50gw21c

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

Niu, Xiaoqing. “Homogeneity test in finite mixture models using EM-test.” 2013. Doctoral Dissertation, University of Alberta. Accessed October 24, 2020. https://era.library.ualberta.ca/files/cpz50gw21c.

MLA Handbook (7^{th} Edition):

Niu, Xiaoqing. “Homogeneity test in finite mixture models using EM-test.” 2013. Web. 24 Oct 2020.

Vancouver:

Niu X. Homogeneity test in finite mixture models using EM-test. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2020 Oct 24]. Available from: https://era.library.ualberta.ca/files/cpz50gw21c.

Council of Science Editors:

Niu X. Homogeneity test in finite mixture models using EM-test. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/cpz50gw21c

University of Maryland

7.
Hou, Xiaodong.
Factor *Mixture* Models with Ordered Categorical Outcomes: The Mathematical Relation to *Mixture* Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian *Model* Parameter Estimation Methods.

Degree: Measurement, Statistics and Evaluation, 2011, University of Maryland

URL: http://hdl.handle.net/1903/12334

► A factor *mixture* *model* (FMM) is a hybrid of latent class analysis and factor analysis modeling techniques. It can be used to investigate group differences…
(more)

Subjects/Keywords: Statistics; Educational tests & measurements; Estimation method; Factor mixture model; Mixture IRT

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

APA (6^{th} Edition):

Hou, X. (2011). Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12334

Not specified: Masters Thesis or Doctoral Dissertation

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

Hou, Xiaodong. “Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods.” 2011. Thesis, University of Maryland. Accessed October 24, 2020. http://hdl.handle.net/1903/12334.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hou, Xiaodong. “Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods.” 2011. Web. 24 Oct 2020.

Vancouver:

Hou X. Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods. [Internet] [Thesis]. University of Maryland; 2011. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1903/12334.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hou X. Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/12334

Not specified: Masters Thesis or Doctoral Dissertation

Temple University

8.
Zhan, Tingting.
The Generalized Linear Mixed *Model* for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data.

Degree: PhD, 2012, Temple University

URL: http://digital.library.temple.edu/u?/p245801coll10,171613

►

Statistics

We propose the generalized linear mixed *model* for finite normal mixtures (GLMFM), as well as the estimation procedures for the GLMFM *model*, which are…
(more)

Subjects/Keywords: Statistics; Biostatistics; finite mixture; mixed model; robust

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

APA (6^{th} Edition):

Zhan, T. (2012). The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,171613

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

Zhan, Tingting. “The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data.” 2012. Doctoral Dissertation, Temple University. Accessed October 24, 2020. http://digital.library.temple.edu/u?/p245801coll10,171613.

MLA Handbook (7^{th} Edition):

Zhan, Tingting. “The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data.” 2012. Web. 24 Oct 2020.

Vancouver:

Zhan T. The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data. [Internet] [Doctoral dissertation]. Temple University; 2012. [cited 2020 Oct 24]. Available from: http://digital.library.temple.edu/u?/p245801coll10,171613.

Council of Science Editors:

Zhan T. The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data. [Doctoral Dissertation]. Temple University; 2012. Available from: http://digital.library.temple.edu/u?/p245801coll10,171613

9. Jeyakanthan V S. Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs.

Degree: Civil Engineering, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/15649

►

Periodical capacity surveys of multi-purpose reservoirs help in assessing the rate of sedimentation and reduction in the storage capacity. Hydrographic surveys are the common, conventional… (more)

Subjects/Keywords: Geology; Linear mixture model; Satellite images

Record Details Similar Records

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APA (6^{th} Edition):

S, J. V. (2014). Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/15649

Not specified: Masters Thesis or Doctoral Dissertation

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

S, Jeyakanthan V. “Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs.” 2014. Thesis, Anna University. Accessed October 24, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/15649.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

S, Jeyakanthan V. “Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs.” 2014. Web. 24 Oct 2020.

Vancouver:

S JV. Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Oct 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15649.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S JV. Studies on sub pixel classification of satellite images and spectra of landcover components for improved estimation of the capacity of reservoirs. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15649

Not specified: Masters Thesis or Doctoral Dissertation

University of Saskatchewan

10. An, Sen. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.

Degree: 2015, University of Saskatchewan

URL: http://hdl.handle.net/10388/12617

► Retinal vessel segmentation is beneficial for eye surgery and detection of diabetic retinopathy. Mathematical morphology, or top-hat reconstruction can keep desired vessel structures. Gaussian *mixture*…
(more)

Subjects/Keywords: Retinal segmentation; mathematical morphology; Gaussian mixture model

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APA (6^{th} Edition):

An, S. (2015). A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12617

Not specified: Masters Thesis or Doctoral Dissertation

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

An, Sen. “A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.” 2015. Thesis, University of Saskatchewan. Accessed October 24, 2020. http://hdl.handle.net/10388/12617.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

An, Sen. “A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.” 2015. Web. 24 Oct 2020.

Vancouver:

An S. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. [Internet] [Thesis]. University of Saskatchewan; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10388/12617.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

An S. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. [Thesis]. University of Saskatchewan; 2015. Available from: http://hdl.handle.net/10388/12617

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

11.
Wang, Ningtao.
A Block *Mixture* *Model* To Map Eqtls For Gene Clustering.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26198

► To study how genes function in a cellular and physiological process, a general procedure is to classify gene expression profiles into categories based on their…
(more)

Subjects/Keywords: block mixture model; eQTL; gene cluster

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

APA (6^{th} Edition):

Wang, N. (2015). A Block Mixture Model To Map Eqtls For Gene Clustering. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26198

Not specified: Masters Thesis or Doctoral Dissertation

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

Wang, Ningtao. “A Block Mixture Model To Map Eqtls For Gene Clustering.” 2015. Thesis, Penn State University. Accessed October 24, 2020. https://submit-etda.libraries.psu.edu/catalog/26198.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Ningtao. “A Block Mixture Model To Map Eqtls For Gene Clustering.” 2015. Web. 24 Oct 2020.

Vancouver:

Wang N. A Block Mixture Model To Map Eqtls For Gene Clustering. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 24]. Available from: https://submit-etda.libraries.psu.edu/catalog/26198.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang N. A Block Mixture Model To Map Eqtls For Gene Clustering. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26198

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

12. Li, Yue. Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space.

Degree: 2017, University of Toronto

URL: http://hdl.handle.net/1807/97186

►

How does interference impact memory? Previous work on memory for colour suggest that the similarity of distracting information can differentially alter how visual representations are… (more)

Subjects/Keywords: Interference; Mixture Model; Shape Wheel; Similarity; 0633

Record Details Similar Records

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

APA (6^{th} Edition):

Li, Y. (2017). Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/97186

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

Li, Yue. “Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space.” 2017. Masters Thesis, University of Toronto. Accessed October 24, 2020. http://hdl.handle.net/1807/97186.

MLA Handbook (7^{th} Edition):

Li, Yue. “Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space.” 2017. Web. 24 Oct 2020.

Vancouver:

Li Y. Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1807/97186.

Council of Science Editors:

Li Y. Examining the Impact of Item-Distractor Similarity Using a Validated Circular Shape Space. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/97186

Colorado State University

13. Coleman, Michael Lee. Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography.

Degree: PhD, Civil and Environmental Engineering, 2012, Colorado State University

URL: http://hdl.handle.net/10217/67424

► This dissertation consists of three parts, two of which examine methods for estimating spatial soil moisture patterns while the third investigates the reconstruction of a…
(more)

Subjects/Keywords: Pajarito; moisture; topography; estimation; mixture model

Record Details Similar Records

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

APA (6^{th} Edition):

Coleman, M. L. (2012). Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/67424

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

Coleman, Michael Lee. “Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography.” 2012. Doctoral Dissertation, Colorado State University. Accessed October 24, 2020. http://hdl.handle.net/10217/67424.

MLA Handbook (7^{th} Edition):

Coleman, Michael Lee. “Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography.” 2012. Web. 24 Oct 2020.

Vancouver:

Coleman ML. Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10217/67424.

Council of Science Editors:

Coleman ML. Estimation of catchment-scale soil moisture patterns from topography and reconstruction of a preserved ash-flow paleotopography. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/67424

University of Manchester

14.
Hossain, Shahadat.
Complete Bayesian analysis of some *mixture* time series models.

Degree: PhD, 2012, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550

► In this thesis we consider some finite *mixture* time series models in which each component is following a well-known process, e.g. AR, ARMA or ARMA-GARCH…
(more)

Subjects/Keywords: 519.5; Bayesian; Mixture Model; Time Series

Record Details Similar Records

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

APA (6^{th} Edition):

Hossain, S. (2012). Complete Bayesian analysis of some mixture time series models. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550

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

Hossain, Shahadat. “Complete Bayesian analysis of some mixture time series models.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 24, 2020. https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550.

MLA Handbook (7^{th} Edition):

Hossain, Shahadat. “Complete Bayesian analysis of some mixture time series models.” 2012. Web. 24 Oct 2020.

Vancouver:

Hossain S. Complete Bayesian analysis of some mixture time series models. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Oct 24]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550.

Council of Science Editors:

Hossain S. Complete Bayesian analysis of some mixture time series models. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/complete-bayesian-analysis-of-some-mixture-time-series-models(6746d653-e08f-4866-ace9-29586f8160f6).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566550

Uppsala University

15. Dahlqwist, Elisabeth. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.

Degree: Statistics, 2014, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

► The following study analyzes birthweight-specific neonatal health using a combination of a *mixture* *model* and logistic regression: the extended Parametric *Mixture* of Logistic Regression.…
(more)

Subjects/Keywords: Birthweight; heaping; neonatal mortality; Gaussian mixture model

Record Details Similar Records

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

APA (6^{th} Edition):

Dahlqwist, E. (2014). Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

Not specified: Masters Thesis or Doctoral Dissertation

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

Dahlqwist, Elisabeth. “Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.” 2014. Thesis, Uppsala University. Accessed October 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dahlqwist, Elisabeth. “Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.” 2014. Web. 24 Oct 2020.

Vancouver:

Dahlqwist E. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. [Internet] [Thesis]. Uppsala University; 2014. [cited 2020 Oct 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dahlqwist E. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. [Thesis]. Uppsala University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

16. Lee, Sang Mee. Statistical methods for gene set based significance analysis.

Degree: PhD, Biostatistics, 2011, University of Minnesota

URL: http://purl.umn.edu/113175

► Gene set enrichment analysis (GSEA) is a method to identify groups of genes, which are statistically more differentially expressed than all other genes across different…
(more)

Subjects/Keywords: EM; Enrichment analysis; LRT; Mixture model; Biostatistics

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

APA (6^{th} Edition):

Lee, S. M. (2011). Statistical methods for gene set based significance analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/113175

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

Lee, Sang Mee. “Statistical methods for gene set based significance analysis.” 2011. Doctoral Dissertation, University of Minnesota. Accessed October 24, 2020. http://purl.umn.edu/113175.

MLA Handbook (7^{th} Edition):

Lee, Sang Mee. “Statistical methods for gene set based significance analysis.” 2011. Web. 24 Oct 2020.

Vancouver:

Lee SM. Statistical methods for gene set based significance analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Oct 24]. Available from: http://purl.umn.edu/113175.

Council of Science Editors:

Lee SM. Statistical methods for gene set based significance analysis. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/113175

University of New South Wales

17. Ghodrat, Maryam. Computational modelling and analysis of the flow and performance in hydrocyclones.

Degree: Materials Science & Engineering, 2014, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true

► Hydrocyclones have been widely used to separate particles by size in many industries. Their flows are complicated and involve multiple phases: liquid, gas, and particles…
(more)

Subjects/Keywords: Coal; Hydrocyclones; Mineral Processing; Multiphase mixture model

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APA (6^{th} Edition):

Ghodrat, M. (2014). Computational modelling and analysis of the flow and performance in hydrocyclones. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true

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

Ghodrat, Maryam. “Computational modelling and analysis of the flow and performance in hydrocyclones.” 2014. Doctoral Dissertation, University of New South Wales. Accessed October 24, 2020. http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Ghodrat, Maryam. “Computational modelling and analysis of the flow and performance in hydrocyclones.” 2014. Web. 24 Oct 2020.

Vancouver:

Ghodrat M. Computational modelling and analysis of the flow and performance in hydrocyclones. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Oct 24]. Available from: http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true.

Council of Science Editors:

Ghodrat M. Computational modelling and analysis of the flow and performance in hydrocyclones. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53824 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12537/SOURCE02?view=true

University of Texas – Austin

18. -0368-0657. Statistical clustering of data.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/32491

► Cluster analysis aims at segmenting objects into groups with similar members and, therefore helps to discover distribution of properties and correlations in large datasets. Data…
(more)

Subjects/Keywords: Clustering; Hierarchical; K-means; Gaussian mixture model

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APA (6^{th} Edition):

-0368-0657. (2015). Statistical clustering of data. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32491

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

Author name may be incomplete

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

-0368-0657. “Statistical clustering of data.” 2015. Masters Thesis, University of Texas – Austin. Accessed October 24, 2020. http://hdl.handle.net/2152/32491.

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

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-0368-0657. “Statistical clustering of data.” 2015. Web. 24 Oct 2020.

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

Author name may be incomplete

Vancouver:

-0368-0657. Statistical clustering of data. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/2152/32491.

Author name may be incomplete

Council of Science Editors:

-0368-0657. Statistical clustering of data. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32491

Author name may be incomplete

Rutgers University

19.
Li, Benjamin Yongbin, 1970-.
Finite *mixture* models in survival data analysis.

Degree: PhD, Statistics and Biostatistics, 2019, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/

►

In the pharmaceutical industry, cost-effectiveness analysis is an important step in the development of new health interventions. It is a method for assessing the gains… (more)

Subjects/Keywords: Finite mixture model; Patients – Mortality – Statistical methods

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APA (6^{th} Edition):

Li, Benjamin Yongbin, 1. (2019). Finite mixture models in survival data analysis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61793/

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

Li, Benjamin Yongbin, 1970-. “Finite mixture models in survival data analysis.” 2019. Doctoral Dissertation, Rutgers University. Accessed October 24, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/61793/.

MLA Handbook (7^{th} Edition):

Li, Benjamin Yongbin, 1970-. “Finite mixture models in survival data analysis.” 2019. Web. 24 Oct 2020.

Vancouver:

Li, Benjamin Yongbin 1. Finite mixture models in survival data analysis. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Oct 24]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/.

Council of Science Editors:

Li, Benjamin Yongbin 1. Finite mixture models in survival data analysis. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61793/

McMaster University

20.
Wei, Yuhong.
Extending Growth *Mixture* Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions.

Degree: PhD, 2017, McMaster University

URL: http://hdl.handle.net/11375/21987

►

Growth *mixture* models (GMMs) are used to *model* intra-individual change and inter-individual differences in change and to detect underlying group structure in longitudinal studies. Regularly,…
(more)

Subjects/Keywords: Growth Mixture Model; Model-Based Clustering; EM Algorithm; Missing Data; Finite Mixture Models

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APA (6^{th} Edition):

Wei, Y. (2017). Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/21987

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

Wei, Yuhong. “Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions.” 2017. Doctoral Dissertation, McMaster University. Accessed October 24, 2020. http://hdl.handle.net/11375/21987.

MLA Handbook (7^{th} Edition):

Wei, Yuhong. “Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions.” 2017. Web. 24 Oct 2020.

Vancouver:

Wei Y. Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11375/21987.

Council of Science Editors:

Wei Y. Extending Growth Mixture Models and Handling Missing Values via Mixtures of Non-Elliptical Distributions. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21987

Delft University of Technology

21. Seuren, Stijn (author). Real-time reference trajectory adaptation for haptic shared control during teleoperation.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646

►

Haptic Shared Control (HSC) can improve operator performance during teleoperation. HSC uses assistive forces on the master device to guide the operator's control input towards… (more)

Subjects/Keywords: Teleoperation; Haptic Shared Control; Reference adaption; Task Parameterized Gaussian Mixture Model; Incremental Gaussian Mixture Model

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APA (6^{th} Edition):

Seuren, S. (. (2018). Real-time reference trajectory adaptation for haptic shared control during teleoperation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646

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

Seuren, Stijn (author). “Real-time reference trajectory adaptation for haptic shared control during teleoperation.” 2018. Masters Thesis, Delft University of Technology. Accessed October 24, 2020. http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646.

MLA Handbook (7^{th} Edition):

Seuren, Stijn (author). “Real-time reference trajectory adaptation for haptic shared control during teleoperation.” 2018. Web. 24 Oct 2020.

Vancouver:

Seuren S(. Real-time reference trajectory adaptation for haptic shared control during teleoperation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Oct 24]. Available from: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646.

Council of Science Editors:

Seuren S(. Real-time reference trajectory adaptation for haptic shared control during teleoperation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646

University of Guelph

22.
Wei, Yuhong.
*Mixture**Model* Averaging for Clustering.

Degree: MS, Department of Mathematics and Statistics, 2012, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538

► *Model*-based clustering is based on a finite *mixture* of distributions, where each *mixture* component corresponds to a different group, cluster, subpopulation, or part thereof. Gaussian…
(more)

Subjects/Keywords: mclust; merging mixture component; mixture model; model averaging; Model selection; model-based clustering; parameter estimation; pgmm; adjusted Rand index

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

APA (6^{th} Edition):

Wei, Y. (2012). Mixture Model Averaging for Clustering. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538

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

Wei, Yuhong. “Mixture Model Averaging for Clustering.” 2012. Masters Thesis, University of Guelph. Accessed October 24, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538.

MLA Handbook (7^{th} Edition):

Wei, Yuhong. “Mixture Model Averaging for Clustering.” 2012. Web. 24 Oct 2020.

Vancouver:

Wei Y. Mixture Model Averaging for Clustering. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2020 Oct 24]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538.

Council of Science Editors:

Wei Y. Mixture Model Averaging for Clustering. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3538

Brno University of Technology

23. Šolc, Radek. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/38886

► This diploma thesis deals with segmentation of blood vessel from images acquired by fundus camera. The characteristic of fundus images and current methods of segmentation…
(more)

Subjects/Keywords: segmentace; fundus; EM; statistický model; GMM; SMM; FMM; mixture model; segmentation; fundus; EM; statistical model; GMM; SMM; FMM; mixture model

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APA (6^{th} Edition):

Šolc, R. (2019). Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38886

Not specified: Masters Thesis or Doctoral Dissertation

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

Šolc, Radek. “Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.” 2019. Thesis, Brno University of Technology. Accessed October 24, 2020. http://hdl.handle.net/11012/38886.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Šolc, Radek. “Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods.” 2019. Web. 24 Oct 2020.

Vancouver:

Šolc R. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11012/38886.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šolc R. Segmentace cévního řečiště na snímcích sítnice s využitím statistických metod: Retinal blood vessel segmentation in fundus images via statistical-based methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/38886

Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

24.
Choi, Hye-Jeong.
A *model* that combines diagnostic classification assessment with *mixture* item response theory models.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/26276

► The purpose of this dissertation is to present a new psychometric *model* that combines a *Mixture* Rasch *model* with a diagnostic *model*. We refer to…
(more)

Subjects/Keywords: Local dependence; Multidimensionality; Latent class model; Mixture Rasch model; Diagnostic models; Log-linear cognitive diagnosis models; Diagnostic classification mixture Rasch model

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

APA (6^{th} Edition):

Choi, H. (2014). A model that combines diagnostic classification assessment with mixture item response theory models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26276

Not specified: Masters Thesis or Doctoral Dissertation

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

Choi, Hye-Jeong. “A model that combines diagnostic classification assessment with mixture item response theory models.” 2014. Thesis, University of Georgia. Accessed October 24, 2020. http://hdl.handle.net/10724/26276.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Choi, Hye-Jeong. “A model that combines diagnostic classification assessment with mixture item response theory models.” 2014. Web. 24 Oct 2020.

Vancouver:

Choi H. A model that combines diagnostic classification assessment with mixture item response theory models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10724/26276.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Choi H. A model that combines diagnostic classification assessment with mixture item response theory models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26276

Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

25. Li, Yan. A probabilistic approach for Wi-Fi based indoor localization.

Degree: 2019, University of Melbourne

URL: http://hdl.handle.net/11343/234278

► The Global Navigation Satellite System (GNSS) has been widely used to provide location information in outdoor environments, but it fails to provide reliable positioning indoors.…
(more)

Subjects/Keywords: WiFi localization; Hidden Markov Model; Probabilistic fingerprinting; Gaussian mixture model

Record Details Similar Records

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APA (6^{th} Edition):

Li, Y. (2019). A probabilistic approach for Wi-Fi based indoor localization. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/234278

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

Li, Yan. “A probabilistic approach for Wi-Fi based indoor localization.” 2019. Doctoral Dissertation, University of Melbourne. Accessed October 24, 2020. http://hdl.handle.net/11343/234278.

MLA Handbook (7^{th} Edition):

Li, Yan. “A probabilistic approach for Wi-Fi based indoor localization.” 2019. Web. 24 Oct 2020.

Vancouver:

Li Y. A probabilistic approach for Wi-Fi based indoor localization. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11343/234278.

Council of Science Editors:

Li Y. A probabilistic approach for Wi-Fi based indoor localization. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/234278

University of Kentucky

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

Degree: 2014, University of Kentucky

URL: https://uknowledge.uky.edu/statistics_etds/7

► *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 (6^{th} Edition):

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

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

Zhou, Feng. “Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.” 2014. Doctoral Dissertation, University of Kentucky. Accessed October 24, 2020. https://uknowledge.uky.edu/statistics_etds/7.

MLA Handbook (7^{th} Edition):

Zhou, Feng. “Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis.” 2014. Web. 24 Oct 2020.

Vancouver:

Zhou F. Contaminated Chi-square Modeling and Its Application in Microarray Data Analysis. [Internet] [Doctoral dissertation]. University of Kentucky; 2014. [cited 2020 Oct 24]. Available from: https://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: https://uknowledge.uky.edu/statistics_etds/7

University of Oklahoma

27.
Hunter, Michael.
State Space Dynamic *Mixture* Modeling: Finding People with Similar Patterns of Change.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/13885

► Increasingly, psychologists encounter data in which several individuals have been measured on multiple variables over numerous occasions. Many of the current methods for this situation…
(more)

Subjects/Keywords: Psychology, Psychometrics.; Time Series; Dynamics; State Space Model; Independent Mixture Model

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APA (6^{th} Edition):

Hunter, M. (2014). State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13885

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

Hunter, Michael. “State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed October 24, 2020. http://hdl.handle.net/11244/13885.

MLA Handbook (7^{th} Edition):

Hunter, Michael. “State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.” 2014. Web. 24 Oct 2020.

Vancouver:

Hunter M. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/11244/13885.

Council of Science Editors:

Hunter M. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13885

Dalhousie University

28.
Zou, Liwen.
Construction of amino acid rate matrices and extensions of
the Barry and Hartigan *model* for phylogenetic inference.

Degree: PhD, Department of Mathematics & Statistics - Statistics Division, 2011, Dalhousie University

URL: http://hdl.handle.net/10222/14248

► This thesis considers two distinct topics in phylogenetic analysis. The first is construction of empirical rate matrices for amino acid models. The second topic, which…
(more)

Subjects/Keywords: NSGTR model; Edge length; Rate matrix; Nonstationary; BH mixture model; BH model; Identifiability

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APA (6^{th} Edition):

Zou, L. (2011). Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14248

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

Zou, Liwen. “Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference.” 2011. Doctoral Dissertation, Dalhousie University. Accessed October 24, 2020. http://hdl.handle.net/10222/14248.

MLA Handbook (7^{th} Edition):

Zou, Liwen. “Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference.” 2011. Web. 24 Oct 2020.

Vancouver:

Zou L. Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference. [Internet] [Doctoral dissertation]. Dalhousie University; 2011. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10222/14248.

Council of Science Editors:

Zou L. Construction of amino acid rate matrices and extensions of the Barry and Hartigan model for phylogenetic inference. [Doctoral Dissertation]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/14248

University of Georgia

29.
Lee, Sunbok.
The impact of missing data on the dichotomous *mixture* IRT models.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/28324

► A *mixture* IRT *model* introduces latent classes into the *model* and is used when researchers want to *model* the heterogeneity of a population. It is…
(more)

Subjects/Keywords: Mixture model; item response theory; spurious class, missing data

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APA (6^{th} Edition):

Lee, S. (2014). The impact of missing data on the dichotomous mixture IRT models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28324

Not specified: Masters Thesis or Doctoral Dissertation

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

Lee, Sunbok. “The impact of missing data on the dichotomous mixture IRT models.” 2014. Thesis, University of Georgia. Accessed October 24, 2020. http://hdl.handle.net/10724/28324.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Sunbok. “The impact of missing data on the dichotomous mixture IRT models.” 2014. Web. 24 Oct 2020.

Vancouver:

Lee S. The impact of missing data on the dichotomous mixture IRT models. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/10724/28324.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee S. The impact of missing data on the dichotomous mixture IRT models. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28324

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

30. Liu, Guannan. Forecasting Financial Returns: A Copula-Based Method and a Robust Test.

Degree: PhD, Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/156914

► My dissertation includes two essays studying the forecasting of financial returns. In the first essay, I study the temporal dependence structures of financial returns by…
(more)

Subjects/Keywords: Copula; Mixture copula; Model average; Nonlinear Markov models; Orthogonality test

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APA (6^{th} Edition):

Liu, G. (2016). Forecasting Financial Returns: A Copula-Based Method and a Robust Test. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156914

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

Liu, Guannan. “Forecasting Financial Returns: A Copula-Based Method and a Robust Test.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 24, 2020. http://hdl.handle.net/1969.1/156914.

MLA Handbook (7^{th} Edition):

Liu, Guannan. “Forecasting Financial Returns: A Copula-Based Method and a Robust Test.” 2016. Web. 24 Oct 2020.

Vancouver:

Liu G. Forecasting Financial Returns: A Copula-Based Method and a Robust Test. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1969.1/156914.

Council of Science Editors:

Liu G. Forecasting Financial Returns: A Copula-Based Method and a Robust Test. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156914