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You searched for `+publisher:"Worcester Polytechnic Institute" +contributor:("Luca Capogna, Department Head")`

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1. Li, Nan. Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model.

Degree: MS, 2017, Worcester Polytechnic Institute

URL: etd-012217-230654 ; https://digitalcommons.wpi.edu/etd-theses/128

► We address the problem of identifying the neighborhood structure of an undirected graph, whose nodes are labeled with the elements of a multivariate normal (MVN)…
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Subjects/Keywords: Closed Form Solutions; Convex Optimization; Information Matrix; Graphical Models

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

APA (6^{th} Edition):

Li, N. (2017). Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-012217-230654 ; https://digitalcommons.wpi.edu/etd-theses/128

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):

Li, Nan. “Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model.” 2017. Thesis, Worcester Polytechnic Institute. Accessed July 10, 2020. etd-012217-230654 ; https://digitalcommons.wpi.edu/etd-theses/128.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Nan. “Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model.” 2017. Web. 10 Jul 2020.

Vancouver:

Li N. Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model. [Internet] [Thesis]. Worcester Polytechnic Institute; 2017. [cited 2020 Jul 10]. Available from: etd-012217-230654 ; https://digitalcommons.wpi.edu/etd-theses/128.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li N. Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model. [Thesis]. Worcester Polytechnic Institute; 2017. Available from: etd-012217-230654 ; https://digitalcommons.wpi.edu/etd-theses/128

Not specified: Masters Thesis or Doctoral Dissertation

2. McArthur, Gregory D. Comparative Analysis of Ledoit's Covariance Matrix and Comparative Adjustment Liability Model (CALM) Within the Markowitz Framework.

Degree: MS, 2014, Worcester Polytechnic Institute

URL: etd-050914-140237 ; https://digitalcommons.wpi.edu/etd-theses/1194

► Estimation of the covariance matrix of asset returns is a key component of portfolio optimization. Inherent in any estimation technique is the capacity to…
(more)

Subjects/Keywords: covariance matrix estimation; Ledoit's model; shrink-

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

APA (6^{th} Edition):

McArthur, G. D. (2014). Comparative Analysis of Ledoit's Covariance Matrix and Comparative Adjustment Liability Model (CALM) Within the Markowitz Framework. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-050914-140237 ; https://digitalcommons.wpi.edu/etd-theses/1194

Not specified: Masters Thesis or Doctoral Dissertation

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

McArthur, Gregory D. “Comparative Analysis of Ledoit's Covariance Matrix and Comparative Adjustment Liability Model (CALM) Within the Markowitz Framework.” 2014. Thesis, Worcester Polytechnic Institute. Accessed July 10, 2020. etd-050914-140237 ; https://digitalcommons.wpi.edu/etd-theses/1194.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

McArthur, Gregory D. “Comparative Analysis of Ledoit's Covariance Matrix and Comparative Adjustment Liability Model (CALM) Within the Markowitz Framework.” 2014. Web. 10 Jul 2020.

Vancouver:

McArthur GD. Comparative Analysis of Ledoit's Covariance Matrix and Comparative Adjustment Liability Model (CALM) Within the Markowitz Framework. [Internet] [Thesis]. Worcester Polytechnic Institute; 2014. [cited 2020 Jul 10]. Available from: etd-050914-140237 ; https://digitalcommons.wpi.edu/etd-theses/1194.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McArthur GD. Comparative Analysis of Ledoit's Covariance Matrix and Comparative Adjustment Liability Model (CALM) Within the Markowitz Framework. [Thesis]. Worcester Polytechnic Institute; 2014. Available from: etd-050914-140237 ; https://digitalcommons.wpi.edu/etd-theses/1194

Not specified: Masters Thesis or Doctoral Dissertation

3. Rosales, Elisa Renee. Predicting Patient Satisfaction With Ensemble Methods.

Degree: MS, 2015, Worcester Polytechnic Institute

URL: etd-043015-133118 ; https://digitalcommons.wpi.edu/etd-theses/595

► Health plans are constantly seeking ways to assess and improve the quality of patient experience in various ambulatory and institutional settings. Standardized surveys are…
(more)

Subjects/Keywords: patient satisfaction; random forests; bagging; ensemble methods; decision trees

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

APA (6^{th} Edition):

Rosales, E. R. (2015). Predicting Patient Satisfaction With Ensemble Methods. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-043015-133118 ; https://digitalcommons.wpi.edu/etd-theses/595

Not specified: Masters Thesis or Doctoral Dissertation

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

Rosales, Elisa Renee. “Predicting Patient Satisfaction With Ensemble Methods.” 2015. Thesis, Worcester Polytechnic Institute. Accessed July 10, 2020. etd-043015-133118 ; https://digitalcommons.wpi.edu/etd-theses/595.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rosales, Elisa Renee. “Predicting Patient Satisfaction With Ensemble Methods.” 2015. Web. 10 Jul 2020.

Vancouver:

Rosales ER. Predicting Patient Satisfaction With Ensemble Methods. [Internet] [Thesis]. Worcester Polytechnic Institute; 2015. [cited 2020 Jul 10]. Available from: etd-043015-133118 ; https://digitalcommons.wpi.edu/etd-theses/595.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rosales ER. Predicting Patient Satisfaction With Ensemble Methods. [Thesis]. Worcester Polytechnic Institute; 2015. Available from: etd-043015-133118 ; https://digitalcommons.wpi.edu/etd-theses/595

Not specified: Masters Thesis or Doctoral Dissertation

4. Kodalen, Brian G. Cometric Association Schemes.

Degree: PhD, 2019, Worcester Polytechnic Institute

URL: etd-042219-125142 ; https://digitalcommons.wpi.edu/etd-dissertations/512

► The combinatorial objects known as association schemes arise in group theory, extremal graph theory, coding theory, the design of experiments, and even quantum information…
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Subjects/Keywords: Association schemes; Commutative algebra; Graph theory

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

APA (6^{th} Edition):

Kodalen, B. G. (2019). Cometric Association Schemes. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-042219-125142 ; https://digitalcommons.wpi.edu/etd-dissertations/512

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

Kodalen, Brian G. “Cometric Association Schemes.” 2019. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed July 10, 2020. etd-042219-125142 ; https://digitalcommons.wpi.edu/etd-dissertations/512.

MLA Handbook (7^{th} Edition):

Kodalen, Brian G. “Cometric Association Schemes.” 2019. Web. 10 Jul 2020.

Vancouver:

Kodalen BG. Cometric Association Schemes. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2019. [cited 2020 Jul 10]. Available from: etd-042219-125142 ; https://digitalcommons.wpi.edu/etd-dissertations/512.

Council of Science Editors:

Kodalen BG. Cometric Association Schemes. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2019. Available from: etd-042219-125142 ; https://digitalcommons.wpi.edu/etd-dissertations/512