Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(stochastic parameter optimization). Showing records 1 – 13 of 13 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Virginia Tech

1. Chen, Minghan. Stochastic Modeling and Simulation of Multiscale Biochemical Systems.

Degree: PhD, Computer Science and Applications, 2019, Virginia Tech

 Modeling and simulation of biochemical networks faces numerous challenges as biochemical networks are discovered with increased complexity and unknown mechanisms. With improvement in experimental techniques,… (more)

Subjects/Keywords: Caulobacter cell cycle model; hybrid stochastic simulation algorithm; stochastic parameter optimization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, M. (2019). Stochastic Modeling and Simulation of Multiscale Biochemical Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90898

Chicago Manual of Style (16th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Doctoral Dissertation, Virginia Tech. Accessed December 11, 2019. http://hdl.handle.net/10919/90898.

MLA Handbook (7th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Web. 11 Dec 2019.

Vancouver:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10919/90898.

Council of Science Editors:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90898


Texas A&M University

2. Word, Daniel Paul. Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.

Degree: 2013, Texas A&M University

 The development of infectious disease models remains important to provide scientists with tools to better understand disease dynamics and develop more effective control strategies. In… (more)

Subjects/Keywords: Nonlinear programming; parameter estimation; stochastic programming; measles; parallel dynamic optimization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Word, D. P. (2013). Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151166

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):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Thesis, Texas A&M University. Accessed December 11, 2019. http://hdl.handle.net/1969.1/151166.

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

MLA Handbook (7th Edition):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Web. 11 Dec 2019.

Vancouver:

Word DP. Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1969.1/151166.

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

Council of Science Editors:

Word DP. Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151166

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


Georgia State University

3. Sirb, Ben. Decentralized Parameter Estimation.

Degree: PhD, Mathematics and Statistics, 2018, Georgia State University

  We develop efficient numerical methods for solving inverse problems in a decentralized setting. First we consider decentralized optimization of a known objective with known… (more)

Subjects/Keywords: Decentralized consensus optimization; delayed gradient; stochastic gradient; decentralized networks; inverse problems; parameter estimation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sirb, B. (2018). Decentralized Parameter Estimation. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/50

Chicago Manual of Style (16th Edition):

Sirb, Ben. “Decentralized Parameter Estimation.” 2018. Doctoral Dissertation, Georgia State University. Accessed December 11, 2019. https://scholarworks.gsu.edu/math_diss/50.

MLA Handbook (7th Edition):

Sirb, Ben. “Decentralized Parameter Estimation.” 2018. Web. 11 Dec 2019.

Vancouver:

Sirb B. Decentralized Parameter Estimation. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Dec 11]. Available from: https://scholarworks.gsu.edu/math_diss/50.

Council of Science Editors:

Sirb B. Decentralized Parameter Estimation. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/math_diss/50


University of Michigan

4. Steimle, Lauren. Stochastic Dynamic Optimization Under Ambiguity.

Degree: PhD, Industrial & Operations Engineering, 2019, University of Michigan

Stochastic dynamic optimization methods are powerful mathematical tools for informing sequential decision-making in environments where the outcomes of decisions are uncertain. For instance, the Markov… (more)

Subjects/Keywords: dynamic programming; Markov decision process; stochastic optimization; decomposition; parameter uncertainty; ambiguity; Industrial and Operations Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Steimle, L. (2019). Stochastic Dynamic Optimization Under Ambiguity. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149947

Chicago Manual of Style (16th Edition):

Steimle, Lauren. “Stochastic Dynamic Optimization Under Ambiguity.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 11, 2019. http://hdl.handle.net/2027.42/149947.

MLA Handbook (7th Edition):

Steimle, Lauren. “Stochastic Dynamic Optimization Under Ambiguity.” 2019. Web. 11 Dec 2019.

Vancouver:

Steimle L. Stochastic Dynamic Optimization Under Ambiguity. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2027.42/149947.

Council of Science Editors:

Steimle L. Stochastic Dynamic Optimization Under Ambiguity. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149947


University of Illinois – Urbana-Champaign

5. Chun, Junho. Reliability−based topology optimization frameworks for the design of structures subjected to random excitations.

Degree: PhD, Civil Engineering, 2016, University of Illinois – Urbana-Champaign

 Structural optimization aims to provide structural designs that allow for the best performance while satisfying given design constraints. Among various applications of structural optimization, topology… (more)

Subjects/Keywords: Topology optimization; Stochastic excitation; Reliability-based design optimization; Reliability-based topology optimization; Parameter sensitivity; Discrete representation; Multiresolution; Polygonal elements; Forced vibration optimization; System reliability; Sequential compounding method; First-passage probability; Ground structure; discrete filtering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chun, J. (2016). Reliability−based topology optimization frameworks for the design of structures subjected to random excitations. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/93063

Chicago Manual of Style (16th Edition):

Chun, Junho. “Reliability−based topology optimization frameworks for the design of structures subjected to random excitations.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 11, 2019. http://hdl.handle.net/2142/93063.

MLA Handbook (7th Edition):

Chun, Junho. “Reliability−based topology optimization frameworks for the design of structures subjected to random excitations.” 2016. Web. 11 Dec 2019.

Vancouver:

Chun J. Reliability−based topology optimization frameworks for the design of structures subjected to random excitations. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2142/93063.

Council of Science Editors:

Chun J. Reliability−based topology optimization frameworks for the design of structures subjected to random excitations. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/93063


Université de Grenoble

6. Li, Zhongyang. Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane.

Degree: Docteur es, Sciences et technologie industrielles, 2013, Université de Grenoble

Cette thèse propose une nouvelle méthode pour modéliser les fonctions non linéaires de modulations d’amplitude et de fréquence de signaux multicomposantes non stationnaires de durée… (more)

Subjects/Keywords: Traitement du signal; Estimation du paramètre; Modulation nonlinéaire; Modèle temps-fréquence; Méthode de optimalisation stochastique; Surveillance; Signal processing; Parameter estimation; Nonlinear modulation; Time-frequency model; Stochastic optimization methods; Condition monitoring

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, Z. (2013). Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2013GRENT026

Chicago Manual of Style (16th Edition):

Li, Zhongyang. “Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane.” 2013. Doctoral Dissertation, Université de Grenoble. Accessed December 11, 2019. http://www.theses.fr/2013GRENT026.

MLA Handbook (7th Edition):

Li, Zhongyang. “Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane.” 2013. Web. 11 Dec 2019.

Vancouver:

Li Z. Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane. [Internet] [Doctoral dissertation]. Université de Grenoble; 2013. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2013GRENT026.

Council of Science Editors:

Li Z. Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane. [Doctoral Dissertation]. Université de Grenoble; 2013. Available from: http://www.theses.fr/2013GRENT026


Universidade do Estado do Rio de Janeiro

7. Cláudio Távora Lima. Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos.

Degree: Master, 2008, Universidade do Estado do Rio de Janeiro

Neste trabalho foi estudado o problema de estimação de parâmetros de modelos termodinâmicos (particularmente, parâmetros de interação binária de regras de mistura de equações de… (more)

Subjects/Keywords: Estimativa de parâmetro Termodinâmica; Termodinâmica modelos matemáticos; Otimização matemática; Processo estocástico; Equações de estado; Otimização estocástica; Regras de mistura ; Parameter estimation - thermodynamics; Thermodynamics - mathematical models; Mathematical optimization; Stochastic processes; Equations of state; Stochastic optimization; Mixing rules; MATEMATICA APLICADA

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lima, C. T. (2008). Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos. (Masters Thesis). Universidade do Estado do Rio de Janeiro. Retrieved from http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;

Chicago Manual of Style (16th Edition):

Lima, Cláudio Távora. “Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos.” 2008. Masters Thesis, Universidade do Estado do Rio de Janeiro. Accessed December 11, 2019. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;.

MLA Handbook (7th Edition):

Lima, Cláudio Távora. “Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos.” 2008. Web. 11 Dec 2019.

Vancouver:

Lima CT. Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos. [Internet] [Masters thesis]. Universidade do Estado do Rio de Janeiro; 2008. [cited 2019 Dec 11]. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;.

Council of Science Editors:

Lima CT. Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos. [Masters Thesis]. Universidade do Estado do Rio de Janeiro; 2008. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;

8. Mourad, Aya. Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach.

Degree: Docteur es, Mathématiques, 2017, Littoral; École Doctorale des Sciences et de Technologie (Beyrouth)

Le thème de cette thèse est l'identification de paramètres tels que la conductivité hydraulique, K, pour un problème d'intrusion marine dans un aquifère isotrope et… (more)

Subjects/Keywords: Identification de paramètres; Problème d'optimisation; Systèmes non linéaire d'équations paraboliques; Méthodes des éléments finis; Analyse numérique; Approches stochastiques; Problème d'intrusion saline; Calcul scientifique; Parameter identification; Optimization problem; Nonlinear systems of parabolic equations; Finite element method; Numeric analysis; Stochastic approaches; Problem of saltwater intrusion; Scientific computation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mourad, A. (2017). Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach. (Doctoral Dissertation). Littoral; École Doctorale des Sciences et de Technologie (Beyrouth). Retrieved from http://www.theses.fr/2017DUNK0465

Chicago Manual of Style (16th Edition):

Mourad, Aya. “Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach.” 2017. Doctoral Dissertation, Littoral; École Doctorale des Sciences et de Technologie (Beyrouth). Accessed December 11, 2019. http://www.theses.fr/2017DUNK0465.

MLA Handbook (7th Edition):

Mourad, Aya. “Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach.” 2017. Web. 11 Dec 2019.

Vancouver:

Mourad A. Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach. [Internet] [Doctoral dissertation]. Littoral; École Doctorale des Sciences et de Technologie (Beyrouth); 2017. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2017DUNK0465.

Council of Science Editors:

Mourad A. Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach. [Doctoral Dissertation]. Littoral; École Doctorale des Sciences et de Technologie (Beyrouth); 2017. Available from: http://www.theses.fr/2017DUNK0465


Colorado School of Mines

9. Drumheller, Zachary W. Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery.

Degree: MS(M.S.), Mechanical Engineering, 2007, Colorado School of Mines

 Aquifers around the world show troubling signs of irreversible depletion and seawater intrusion as climate change, population growth, and urbanization lead to reduced natural recharge… (more)

Subjects/Keywords: optimal control of stochastic; simulation-based control optimization; parameter estimation; nonlinear systems with latency; managed aquifer recharge and recovery; genetic algorithm; dynamic parameter inversion; Groundwater recharge; Aquifer storage recovery; Algorithms; Stochastic systems; Simulation methods; Control theory

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Drumheller, Z. W. (2007). Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17139

Chicago Manual of Style (16th Edition):

Drumheller, Zachary W. “Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery.” 2007. Masters Thesis, Colorado School of Mines. Accessed December 11, 2019. http://hdl.handle.net/11124/17139.

MLA Handbook (7th Edition):

Drumheller, Zachary W. “Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery.” 2007. Web. 11 Dec 2019.

Vancouver:

Drumheller ZW. Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery. [Internet] [Masters thesis]. Colorado School of Mines; 2007. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11124/17139.

Council of Science Editors:

Drumheller ZW. Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery. [Masters Thesis]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17139


The Ohio State University

10. Ittiwattana, Waraporn. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.

Degree: PhD, Industrial and Systems Engineering, 2002, The Ohio State University

  This dissertation contains the first proof of convergence of a genetic algorithm in the context of stochastic optimization. The class of stochastic optimization problems… (more)

Subjects/Keywords: Genetic Algorithms; Stochastic Optimization; Monte Carlo Methods; Time Non-homogenous Markov Process; Taguchi Methods; Signal-to-Noise Ratio; Parameter Design; Multicriterion Optimization; Global Supply Chain Modeling and Optimization; Facility Location

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ittiwattana, W. (2002). A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020

Chicago Manual of Style (16th Edition):

Ittiwattana, Waraporn. “A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.” 2002. Doctoral Dissertation, The Ohio State University. Accessed December 11, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

MLA Handbook (7th Edition):

Ittiwattana, Waraporn. “A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.” 2002. Web. 11 Dec 2019.

Vancouver:

Ittiwattana W. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. [Internet] [Doctoral dissertation]. The Ohio State University; 2002. [cited 2019 Dec 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

Council of Science Editors:

Ittiwattana W. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. [Doctoral Dissertation]. The Ohio State University; 2002. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020

11. Zheng, Zhi. Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders.

Degree: PhD, 0439, 2013, University of Illinois – Urbana-Champaign

 In this thesis we study the effect of stochastic perturbations on moving boundary value PDE's with Stefan boundary conditions, or Stefan problems, and show the… (more)

Subjects/Keywords: stochastic partial differential equations (PDEs); moving boundaries; market limit orders; parameter estimation; Maximum-Likelihood Estimator (MLE); Mean-Square Errors (MSE); Akaike information criterion (AIC); investment optimization; dynamic optimization

…Investment Optimization via Limit Orders… …In this thesis we study the effect of stochastic perturbations on such type of problems… …number of stochastic equations of such kind. We also obtain the space and time regularities of… …defined normed space. Moreover, based on the nature of the stochastic version of the problem, we… …equations, derive parameter estimation schemes using maximum likelihood and least mean-square… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zheng, Z. (2013). Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42335

Chicago Manual of Style (16th Edition):

Zheng, Zhi. “Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 11, 2019. http://hdl.handle.net/2142/42335.

MLA Handbook (7th Edition):

Zheng, Zhi. “Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders.” 2013. Web. 11 Dec 2019.

Vancouver:

Zheng Z. Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2142/42335.

Council of Science Editors:

Zheng Z. Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42335

12. Shang, Shen. Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties.

Degree: PhD, Civil Engineering, 2012, University of Akron

  In the field of computational mechanics, there has been a very challenging problem, which is the characterization of heterogeneous media with randomly distributed material… (more)

Subjects/Keywords: Civil Engineering; Engineering; Experiments; Materials Science; Mathematics; stochastic material characterization, random heterogeneous media characterization, material uncertainty, stochastic finite element method, optimization, Karhunen&8211; Lo&232; ve expansion, probabilistic analysis, inverse analysis, parameter estimation, S

parameter estimation methods applies optimization techniques in order to minimize cost functions… …III. SELF OPTIMIZATION INVERSE IDENTIFICATION METHOD ..................... 30 3.1 Self… …Formulation of Objective Function .................................. 39 3.2 Optimization Algorithm… …43 IV. A GENERAL PLATFORM FOR STOCHASTIC FINITE ELEMENT SIMULATION… …Formulation of Stochastic Finite Element .................................. 59 4.4 Implementation… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shang, S. (2012). Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058

Chicago Manual of Style (16th Edition):

Shang, Shen. “Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties.” 2012. Doctoral Dissertation, University of Akron. Accessed December 11, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058.

MLA Handbook (7th Edition):

Shang, Shen. “Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties.” 2012. Web. 11 Dec 2019.

Vancouver:

Shang S. Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties. [Internet] [Doctoral dissertation]. University of Akron; 2012. [cited 2019 Dec 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058.

Council of Science Editors:

Shang S. Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties. [Doctoral Dissertation]. University of Akron; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058

13. Zhang, Junjie. Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach.

Degree: PhD, Earth & Space Science, 2015, York University

 Characterizing and monitoring forests are of great scientific and managerial interests, such as understanding the global carbon circle, biodiversity conservation and management of natural resources.… (more)

Subjects/Keywords: Remote sensing; Forestry; Computer engineering; LiDAR; Airborne laser scanning; Forestry; Single tree detection; Individual tree detection; Canopy height model; CHM; Hole-filling; Forest plot simulation; Coniferous forest; Point processes; Marked point processes; Probabilistic model; Stochastic model; Local maxima filtering; Marker-controlled watershed segmentation; Parameter estimation; Maximum likelihood; Logistic regression model; Expectation-Maximization; EM; Energy minimization; Markov Chain Monte Carlo; MCMC; Reversible Jump Markov Chain Monte Carlo; RJMCMC; Prior-guided Markov Chain Monte Carlo; PGMCMC; Simulated annealing; Optimization

…100 CHAPTER 6 Parameter Estimation and Model Optimization… …125 Table 6.9. Three optimization parameter settings for SA to test the performances of MCMC… …probabilistic model for single tree detection, and 4) parameter estimation and model optimization… …Parameter estimation and model optimization In Chapter 6, we have a further investigation of… …parameter estimation and optimization methods of the proposed model. In the previous chapter, we… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, J. (2015). Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/30123

Chicago Manual of Style (16th Edition):

Zhang, Junjie. “Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach.” 2015. Doctoral Dissertation, York University. Accessed December 11, 2019. http://hdl.handle.net/10315/30123.

MLA Handbook (7th Edition):

Zhang, Junjie. “Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach.” 2015. Web. 11 Dec 2019.

Vancouver:

Zhang J. Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10315/30123.

Council of Science Editors:

Zhang J. Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/30123

.