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You searched for subject:(quasi random sequence). Showing records 1 – 4 of 4 total matches.

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George Mason University

1. Wang, Xun. A Three-Factor Mortgage Default Option Pricing Model with Applications to the Loan Modifications .

Degree: 2011, George Mason University

 The classic contingent-claims pricing model views the borrower’s right to default on a mortgage as a put option. By defaulting on a mortgage the borrower… (more)

Subjects/Keywords: Mortgage Default Option; Three-Factor Pricing Model; Net Transaction Cost Model; Loan Modifications; Quasi Random Sequence; Least Squares Monte Carlo Method

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

APA (6th Edition):

Wang, X. (2011). A Three-Factor Mortgage Default Option Pricing Model with Applications to the Loan Modifications . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6587

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, Xun. “A Three-Factor Mortgage Default Option Pricing Model with Applications to the Loan Modifications .” 2011. Thesis, George Mason University. Accessed September 20, 2020. http://hdl.handle.net/1920/6587.

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

MLA Handbook (7th Edition):

Wang, Xun. “A Three-Factor Mortgage Default Option Pricing Model with Applications to the Loan Modifications .” 2011. Web. 20 Sep 2020.

Vancouver:

Wang X. A Three-Factor Mortgage Default Option Pricing Model with Applications to the Loan Modifications . [Internet] [Thesis]. George Mason University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1920/6587.

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

Council of Science Editors:

Wang X. A Three-Factor Mortgage Default Option Pricing Model with Applications to the Loan Modifications . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6587

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


Louisiana State University

2. Zeng, Tong. Essays on the Random Parameters Logit Model.

Degree: PhD, Economics, 2011, Louisiana State University

 This research uses quasi-Monte Carlo sampling experiments to examine the properties of pretest and positive-part Stein-like estimators in the random parameters logit (RPL) model based… (more)

Subjects/Keywords: Wald test; likelihood ratio test; Lagrange Multiplier test; positive-part Stein-like estimator; pretest estimator; Halton sequence; quasi-random numbers; random parameters logit model; maximum simulated likelihood

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

APA (6th Edition):

Zeng, T. (2011). Essays on the Random Parameters Logit Model. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-11022011-221513 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1584

Chicago Manual of Style (16th Edition):

Zeng, Tong. “Essays on the Random Parameters Logit Model.” 2011. Doctoral Dissertation, Louisiana State University. Accessed September 20, 2020. etd-11022011-221513 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1584.

MLA Handbook (7th Edition):

Zeng, Tong. “Essays on the Random Parameters Logit Model.” 2011. Web. 20 Sep 2020.

Vancouver:

Zeng T. Essays on the Random Parameters Logit Model. [Internet] [Doctoral dissertation]. Louisiana State University; 2011. [cited 2020 Sep 20]. Available from: etd-11022011-221513 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1584.

Council of Science Editors:

Zeng T. Essays on the Random Parameters Logit Model. [Doctoral Dissertation]. Louisiana State University; 2011. Available from: etd-11022011-221513 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1584

3. ZHANG ZHEN. A uniformly sampled genetic algorithm with gradient search for system identification.

Degree: 2009, National University of Singapore

Subjects/Keywords: Structural health monitoring; genetic algorithm; quasi-random sequence; gradient search; substructural identification

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

APA (6th Edition):

ZHEN, Z. (2009). A uniformly sampled genetic algorithm with gradient search for system identification. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16409

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):

ZHEN, ZHANG. “A uniformly sampled genetic algorithm with gradient search for system identification.” 2009. Thesis, National University of Singapore. Accessed September 20, 2020. http://scholarbank.nus.edu.sg/handle/10635/16409.

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

MLA Handbook (7th Edition):

ZHEN, ZHANG. “A uniformly sampled genetic algorithm with gradient search for system identification.” 2009. Web. 20 Sep 2020.

Vancouver:

ZHEN Z. A uniformly sampled genetic algorithm with gradient search for system identification. [Internet] [Thesis]. National University of Singapore; 2009. [cited 2020 Sep 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16409.

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

Council of Science Editors:

ZHEN Z. A uniformly sampled genetic algorithm with gradient search for system identification. [Thesis]. National University of Singapore; 2009. Available from: http://scholarbank.nus.edu.sg/handle/10635/16409

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


University of Vienna

4. Kastner, Klaus. Stochastic primal-dual forward-backward-forward algorithm with applications in machine learning.

Degree: 2018, University of Vienna

Wir präsentieren ein stochastisches Primal-duales Vorwärts-Rückwärts-Vorwärts Verfahren zum Lösen des monotonen Inklusions-Problems, welches maximal- monotone Operatoren, lineare Zusammensetzungen paralleler Summen von maximal- monotonen Operatoren und… (more)

Subjects/Keywords: 31.46 Funktionalanalysis; 31.47 Operatortheorie; 31.70 Wahrscheinlichkeitsrechnung; 31.76 Numerische Mathematik; 31.80 Angewandte Mathematik; 31.40 Analysis: Allgemeines; 54.72 Künstliche Intelligenz; Zufallsvariablen / stochastische quasi-Fejér monotone Folge / stochastischer Algorithmus / maximal-monotone Operatoren / Resolvente / konvexes Optimierungsproblem / Subdifferential / Kernel-basiertes maschinelles Lernen / Support Vector Maschine / numerische Experimente; arbitrary sampling / block-coordinate algorithm / random variables / stochastic algorithm / stochastic Fejer-monotone sequence / maximally monotone operator / resolvent / convex optimization / subdifferential / kernel-based machine learning / support vector machine / numerical experiments

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

APA (6th Edition):

Kastner, K. (2018). Stochastic primal-dual forward-backward-forward algorithm with applications in machine learning. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/53897/

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):

Kastner, Klaus. “Stochastic primal-dual forward-backward-forward algorithm with applications in machine learning.” 2018. Thesis, University of Vienna. Accessed September 20, 2020. http://othes.univie.ac.at/53897/.

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

MLA Handbook (7th Edition):

Kastner, Klaus. “Stochastic primal-dual forward-backward-forward algorithm with applications in machine learning.” 2018. Web. 20 Sep 2020.

Vancouver:

Kastner K. Stochastic primal-dual forward-backward-forward algorithm with applications in machine learning. [Internet] [Thesis]. University of Vienna; 2018. [cited 2020 Sep 20]. Available from: http://othes.univie.ac.at/53897/.

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

Council of Science Editors:

Kastner K. Stochastic primal-dual forward-backward-forward algorithm with applications in machine learning. [Thesis]. University of Vienna; 2018. Available from: http://othes.univie.ac.at/53897/

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

.