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You searched for subject:( MCMC). Showing records 1 – 30 of 444 total matches.

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Texas A&M University

1. Dostert, Paul Francis. Uncertainty quantification using multiscale methods for porous media flows.

Degree: 2009, Texas A&M University

 In this dissertation we discuss numerical methods used for uncertainty quantifi- cation applications to flow in porous media. We consider stochastic flow equations that contain… (more)

Subjects/Keywords: Upscaling; MCMC

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APA (6th Edition):

Dostert, P. F. (2009). Uncertainty quantification using multiscale methods for porous media flows. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2532

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):

Dostert, Paul Francis. “Uncertainty quantification using multiscale methods for porous media flows.” 2009. Thesis, Texas A&M University. Accessed March 29, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2532.

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

MLA Handbook (7th Edition):

Dostert, Paul Francis. “Uncertainty quantification using multiscale methods for porous media flows.” 2009. Web. 29 Mar 2020.

Vancouver:

Dostert PF. Uncertainty quantification using multiscale methods for porous media flows. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2532.

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

Council of Science Editors:

Dostert PF. Uncertainty quantification using multiscale methods for porous media flows. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2532

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

2. Liu, Chang. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method.

Degree: 2009, Texas A&M University

 Currently, effective reservoir management systems play a very important part in exploiting reservoirs. Fully exploiting all the possible events for a petroleum reservoir is a… (more)

Subjects/Keywords: MCMC

…4 MCMC Method… …12 Metropolis-Hasting MCMC Algorithm… …15 Fig. 2 - Objective function vs. models of a MCMC chain in static case ..............19… …Fig. 3 - Objective function vs. models of a MCMC chain in continuous case .....23 Fig. 4… …can lead to biased optimization. MCMC Method The Markov Chain Monte Carlo (MCMC)… 

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APA (6th Edition):

Liu, C. (2009). Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2360

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

Chicago Manual of Style (16th Edition):

Liu, Chang. “Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method.” 2009. Thesis, Texas A&M University. Accessed March 29, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2360.

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

MLA Handbook (7th Edition):

Liu, Chang. “Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method.” 2009. Web. 29 Mar 2020.

Vancouver:

Liu C. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2360.

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

Council of Science Editors:

Liu C. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2360

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


University of Toronto

3. Shestopaloff, Alexander Yurievich. MCMC Methods for Non-linear State Space Models.

Degree: PhD, 2016, University of Toronto

 This thesis is concerned with developing efficient MCMC (Markov Chain Monte Carlo) techniques for non-linear, non-Gaussian state space models. These models are widely applicable in… (more)

Subjects/Keywords: MCMC; 0463

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APA (6th Edition):

Shestopaloff, A. Y. (2016). MCMC Methods for Non-linear State Space Models. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/73175

Chicago Manual of Style (16th Edition):

Shestopaloff, Alexander Yurievich. “MCMC Methods for Non-linear State Space Models.” 2016. Doctoral Dissertation, University of Toronto. Accessed March 29, 2020. http://hdl.handle.net/1807/73175.

MLA Handbook (7th Edition):

Shestopaloff, Alexander Yurievich. “MCMC Methods for Non-linear State Space Models.” 2016. Web. 29 Mar 2020.

Vancouver:

Shestopaloff AY. MCMC Methods for Non-linear State Space Models. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1807/73175.

Council of Science Editors:

Shestopaloff AY. MCMC Methods for Non-linear State Space Models. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/73175


University of Newcastle

4. Tran, Khoa T. Computational solutions for Bayesian inference in dynamical systems.

Degree: MPhil, 2016, University of Newcastle

Masters Research - Master of Philosophy (MPhil)

This thesis proposes Bayesian inference as a feasible and possibly, under some circumstances, preferable alternative to mainstream approaches… (more)

Subjects/Keywords: MCMC; Bayesian computation

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APA (6th Edition):

Tran, K. T. (2016). Computational solutions for Bayesian inference in dynamical systems. (Masters Thesis). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1322481

Chicago Manual of Style (16th Edition):

Tran, Khoa T. “Computational solutions for Bayesian inference in dynamical systems.” 2016. Masters Thesis, University of Newcastle. Accessed March 29, 2020. http://hdl.handle.net/1959.13/1322481.

MLA Handbook (7th Edition):

Tran, Khoa T. “Computational solutions for Bayesian inference in dynamical systems.” 2016. Web. 29 Mar 2020.

Vancouver:

Tran KT. Computational solutions for Bayesian inference in dynamical systems. [Internet] [Masters thesis]. University of Newcastle; 2016. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1959.13/1322481.

Council of Science Editors:

Tran KT. Computational solutions for Bayesian inference in dynamical systems. [Masters Thesis]. University of Newcastle; 2016. Available from: http://hdl.handle.net/1959.13/1322481


Texas A&M University

5. Almohammadi, Hisham Hassan S. Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo.

Degree: PhD, Petroleum Engineering, 2018, Texas A&M University

 It is common practice to base decisions related to reservoir development and operations on reservoir models. Keeping these models updated and adequately quantifying subsurface uncertainty… (more)

Subjects/Keywords: MCMC; EnKF; DCT

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APA (6th Edition):

Almohammadi, H. H. S. (2018). Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174310

Chicago Manual of Style (16th Edition):

Almohammadi, Hisham Hassan S. “Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 29, 2020. http://hdl.handle.net/1969.1/174310.

MLA Handbook (7th Edition):

Almohammadi, Hisham Hassan S. “Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo.” 2018. Web. 29 Mar 2020.

Vancouver:

Almohammadi HHS. Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1969.1/174310.

Council of Science Editors:

Almohammadi HHS. Multi-Level Continuous Data Assimilation and Uncertainty Quantification of Reservoir Models Using Ensemble Kalman Filter and Two-Stage Markov-Chain Monte Carlo. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174310


University of Ottawa

6. Wang, Pengfei. An Approximate MCMC Method for Convex Hulls .

Degree: 2019, University of Ottawa

 Markov chain Monte Carlo (MCMC) is an extremely popular class of algorithms for computing summaries of posterior distributions. One problem for MCMC in the so-called… (more)

Subjects/Keywords: MCMC; convex hull

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APA (6th Edition):

Wang, P. (2019). An Approximate MCMC Method for Convex Hulls . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/39529

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, Pengfei. “An Approximate MCMC Method for Convex Hulls .” 2019. Thesis, University of Ottawa. Accessed March 29, 2020. http://hdl.handle.net/10393/39529.

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

MLA Handbook (7th Edition):

Wang, Pengfei. “An Approximate MCMC Method for Convex Hulls .” 2019. Web. 29 Mar 2020.

Vancouver:

Wang P. An Approximate MCMC Method for Convex Hulls . [Internet] [Thesis]. University of Ottawa; 2019. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/10393/39529.

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

Council of Science Editors:

Wang P. An Approximate MCMC Method for Convex Hulls . [Thesis]. University of Ottawa; 2019. Available from: http://hdl.handle.net/10393/39529

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


Duquesne University

7. Nelson, Bryan. Modeling the NCAA Tournament Through Bayesian Logistic Regression.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 Many rating systems exist that order the Division I teams in Men's College Basketball that compete in the NCAA Tournament, such as seeding teams on… (more)

Subjects/Keywords: Bayesian; Logistic regression; MCMC; NCAA

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APA (6th Edition):

Nelson, B. (2012). Modeling the NCAA Tournament Through Bayesian Logistic Regression. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/970

Chicago Manual of Style (16th Edition):

Nelson, Bryan. “Modeling the NCAA Tournament Through Bayesian Logistic Regression.” 2012. Masters Thesis, Duquesne University. Accessed March 29, 2020. https://dsc.duq.edu/etd/970.

MLA Handbook (7th Edition):

Nelson, Bryan. “Modeling the NCAA Tournament Through Bayesian Logistic Regression.” 2012. Web. 29 Mar 2020.

Vancouver:

Nelson B. Modeling the NCAA Tournament Through Bayesian Logistic Regression. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2020 Mar 29]. Available from: https://dsc.duq.edu/etd/970.

Council of Science Editors:

Nelson B. Modeling the NCAA Tournament Through Bayesian Logistic Regression. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/970


Penn State University

8. Braun, Keith Eric. Inversion Scheme for Predicting Petrophysical Properties in the Blake Ridge Methane Hydrates Field from 3d Seismic Survey Data.

Degree: MS, Energy and Mineral Engineering, 2016, Penn State University

 Accurately predicting petrophysical properties in a reservoir can be a very challenging process. Since most hydrocarbon reservoirs occur at extreme depths (> 5000 ft), very… (more)

Subjects/Keywords: hydrates; bayesian inversion; MCMC; petroleum

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APA (6th Edition):

Braun, K. E. (2016). Inversion Scheme for Predicting Petrophysical Properties in the Blake Ridge Methane Hydrates Field from 3d Seismic Survey Data. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/29000

Chicago Manual of Style (16th Edition):

Braun, Keith Eric. “Inversion Scheme for Predicting Petrophysical Properties in the Blake Ridge Methane Hydrates Field from 3d Seismic Survey Data.” 2016. Masters Thesis, Penn State University. Accessed March 29, 2020. https://etda.libraries.psu.edu/catalog/29000.

MLA Handbook (7th Edition):

Braun, Keith Eric. “Inversion Scheme for Predicting Petrophysical Properties in the Blake Ridge Methane Hydrates Field from 3d Seismic Survey Data.” 2016. Web. 29 Mar 2020.

Vancouver:

Braun KE. Inversion Scheme for Predicting Petrophysical Properties in the Blake Ridge Methane Hydrates Field from 3d Seismic Survey Data. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2020 Mar 29]. Available from: https://etda.libraries.psu.edu/catalog/29000.

Council of Science Editors:

Braun KE. Inversion Scheme for Predicting Petrophysical Properties in the Blake Ridge Methane Hydrates Field from 3d Seismic Survey Data. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/29000


Penn State University

9. Das, Kiranmoy. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.

Degree: PhD, Statistics, 2011, Penn State University

 Genome-wide Association Studies, popularly known as GWAS, are playing a key role in understanding the genetic patterns of various traits and diseases. Despite the potential… (more)

Subjects/Keywords: Longitudinal data; functional mapping; MCMC

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APA (6th Edition):

Das, K. (2011). SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12109

Chicago Manual of Style (16th Edition):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Doctoral Dissertation, Penn State University. Accessed March 29, 2020. https://etda.libraries.psu.edu/catalog/12109.

MLA Handbook (7th Edition):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Web. 29 Mar 2020.

Vancouver:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Internet] [Doctoral dissertation]. Penn State University; 2011. [cited 2020 Mar 29]. Available from: https://etda.libraries.psu.edu/catalog/12109.

Council of Science Editors:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Doctoral Dissertation]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12109


University of New South Wales

10. Hall, Jamie. Particle Filter Methods for Nonlinear Macroeconomic Models.

Degree: Economics, 2014, University of New South Wales

 Structural models  – that is, statistical models of the macroeconomy which incorporate an underlying economic structure  – are widely used in central banking and other… (more)

Subjects/Keywords: SMC; DSGE; New Keynesian; MCMC

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APA (6th Edition):

Hall, J. (2014). Particle Filter Methods for Nonlinear Macroeconomic Models. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54107 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13096/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hall, Jamie. “Particle Filter Methods for Nonlinear Macroeconomic Models.” 2014. Doctoral Dissertation, University of New South Wales. Accessed March 29, 2020. http://handle.unsw.edu.au/1959.4/54107 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13096/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hall, Jamie. “Particle Filter Methods for Nonlinear Macroeconomic Models.” 2014. Web. 29 Mar 2020.

Vancouver:

Hall J. Particle Filter Methods for Nonlinear Macroeconomic Models. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Mar 29]. Available from: http://handle.unsw.edu.au/1959.4/54107 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13096/SOURCE02?view=true.

Council of Science Editors:

Hall J. Particle Filter Methods for Nonlinear Macroeconomic Models. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/54107 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13096/SOURCE02?view=true


University of New South Wales

11. Pullen, James. A Bayesian approach to mixture models and transdimensional Markov chains.

Degree: Economics, 2011, University of New South Wales

 A general Bayesian sampling method is developed that uses parallel chains to select betweenmodels and to average the predictive density over such models. The method… (more)

Subjects/Keywords: MCMC; Bayesian; Mixture models

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APA (6th Edition):

Pullen, J. (2011). A Bayesian approach to mixture models and transdimensional Markov chains. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51520 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10207/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pullen, James. “A Bayesian approach to mixture models and transdimensional Markov chains.” 2011. Doctoral Dissertation, University of New South Wales. Accessed March 29, 2020. http://handle.unsw.edu.au/1959.4/51520 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10207/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pullen, James. “A Bayesian approach to mixture models and transdimensional Markov chains.” 2011. Web. 29 Mar 2020.

Vancouver:

Pullen J. A Bayesian approach to mixture models and transdimensional Markov chains. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2020 Mar 29]. Available from: http://handle.unsw.edu.au/1959.4/51520 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10207/SOURCE02?view=true.

Council of Science Editors:

Pullen J. A Bayesian approach to mixture models and transdimensional Markov chains. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51520 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10207/SOURCE02?view=true


University of Waterloo

12. McBride, Kurtis. Vehicle Tracking in Occlusion and Clutter.

Degree: 2008, University of Waterloo

 Vehicle tracking in environments containing occlusion and clutter is an active research area. The problem of tracking vehicles through such environments presents a variety of… (more)

Subjects/Keywords: Tracking; MCMC

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APA (6th Edition):

McBride, K. (2008). Vehicle Tracking in Occlusion and Clutter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3468

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):

McBride, Kurtis. “Vehicle Tracking in Occlusion and Clutter.” 2008. Thesis, University of Waterloo. Accessed March 29, 2020. http://hdl.handle.net/10012/3468.

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

MLA Handbook (7th Edition):

McBride, Kurtis. “Vehicle Tracking in Occlusion and Clutter.” 2008. Web. 29 Mar 2020.

Vancouver:

McBride K. Vehicle Tracking in Occlusion and Clutter. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/10012/3468.

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

Council of Science Editors:

McBride K. Vehicle Tracking in Occlusion and Clutter. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/3468

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


Università della Svizzera italiana

13. Passarin, Katia. A robust bayesian approach to portfolio selection.

Degree: 2004, Università della Svizzera italiana

 This thesis aims at studying the local robustness properties of Bayesian posterior summaries and deriving a robust procedure to estimate Bayesian Mean-Variance weights in a… (more)

Subjects/Keywords: MCMC methods

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APA (6th Edition):

Passarin, K. (2004). A robust bayesian approach to portfolio selection. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/5152

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):

Passarin, Katia. “A robust bayesian approach to portfolio selection.” 2004. Thesis, Università della Svizzera italiana. Accessed March 29, 2020. http://doc.rero.ch/record/5152.

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

MLA Handbook (7th Edition):

Passarin, Katia. “A robust bayesian approach to portfolio selection.” 2004. Web. 29 Mar 2020.

Vancouver:

Passarin K. A robust bayesian approach to portfolio selection. [Internet] [Thesis]. Università della Svizzera italiana; 2004. [cited 2020 Mar 29]. Available from: http://doc.rero.ch/record/5152.

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

Council of Science Editors:

Passarin K. A robust bayesian approach to portfolio selection. [Thesis]. Università della Svizzera italiana; 2004. Available from: http://doc.rero.ch/record/5152

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


University of Minnesota

14. Acosta Archila, Felipe. Markov Chain Monte Carlo for Linear Mixed Models.

Degree: PhD, Statistics, 2015, University of Minnesota

 We describe techniques to fit linear and generalized linear mixed models with different types of response variables and their respective parameter estimation. We consider the… (more)

Subjects/Keywords: glmm; linchpin; mcem; mcmc

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APA (6th Edition):

Acosta Archila, F. (2015). Markov Chain Monte Carlo for Linear Mixed Models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/178974

Chicago Manual of Style (16th Edition):

Acosta Archila, Felipe. “Markov Chain Monte Carlo for Linear Mixed Models.” 2015. Doctoral Dissertation, University of Minnesota. Accessed March 29, 2020. http://hdl.handle.net/11299/178974.

MLA Handbook (7th Edition):

Acosta Archila, Felipe. “Markov Chain Monte Carlo for Linear Mixed Models.” 2015. Web. 29 Mar 2020.

Vancouver:

Acosta Archila F. Markov Chain Monte Carlo for Linear Mixed Models. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/11299/178974.

Council of Science Editors:

Acosta Archila F. Markov Chain Monte Carlo for Linear Mixed Models. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/178974


Universidade Estadual de Campinas

15. Schultz, José Adolfo de Almeida. FGM e suas generalizações sob um ponto de vista bayesiano .

Degree: 2011, Universidade Estadual de Campinas

Resumo: O resumo poderá ser visualizado no texto completo da tese digital; Abstract: The abstract is available with the full electronic digital document Advisors/Committee Members: González-López, Verónica Andrea, 1970- (advisor), Stern, Julio Michael (committee member), Esteves, Luis Gustavo (committee member).

Subjects/Keywords: Cópulas (Estatística matemática); Inferência bayesiana; Métodos MCMC

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APA (6th Edition):

Schultz, J. A. d. A. (2011). FGM e suas generalizações sob um ponto de vista bayesiano . (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/306676

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):

Schultz, José Adolfo de Almeida. “FGM e suas generalizações sob um ponto de vista bayesiano .” 2011. Thesis, Universidade Estadual de Campinas. Accessed March 29, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306676.

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

MLA Handbook (7th Edition):

Schultz, José Adolfo de Almeida. “FGM e suas generalizações sob um ponto de vista bayesiano .” 2011. Web. 29 Mar 2020.

Vancouver:

Schultz JAdA. FGM e suas generalizações sob um ponto de vista bayesiano . [Internet] [Thesis]. Universidade Estadual de Campinas; 2011. [cited 2020 Mar 29]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/306676.

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

Council of Science Editors:

Schultz JAdA. FGM e suas generalizações sob um ponto de vista bayesiano . [Thesis]. Universidade Estadual de Campinas; 2011. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/306676

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


Texas A&M University

16. Ren, Yuan. Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems.

Degree: 2010, Texas A&M University

 This dissertation presents an algorithm to solve optimization problems with "black-box" objective functions, i.e., functions that can only be evaluated by running a computer program.… (more)

Subjects/Keywords: Heuristic Optimization; Adaptive MCMC; Data mining

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

APA (6th Edition):

Ren, Y. (2010). Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84

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):

Ren, Yuan. “Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems.” 2010. Thesis, Texas A&M University. Accessed March 29, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84.

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

MLA Handbook (7th Edition):

Ren, Yuan. “Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems.” 2010. Web. 29 Mar 2020.

Vancouver:

Ren Y. Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84.

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

Council of Science Editors:

Ren Y. Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84

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


Universidade Estadual de Campinas

17. Pereira Barahona, Manuel Jesus, 1984-. Inferência bayesiana para processos assimétricos fracionários .

Degree: 2018, Universidade Estadual de Campinas

 Resumo: Neste trabalho estamos interessados em dois tipos de processos. Primeiro, em processos onde uma barreira de semipermeabilidade divide o espaço de estados, produzindo uma… (more)

Subjects/Keywords: Inferência bayesiana; Verossimilhança (Estatística); Métodos MCMC (Estatística)

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

APA (6th Edition):

Pereira Barahona, Manuel Jesus, 1. (2018). Inferência bayesiana para processos assimétricos fracionários . (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/332573

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):

Pereira Barahona, Manuel Jesus, 1984-. “Inferência bayesiana para processos assimétricos fracionários .” 2018. Thesis, Universidade Estadual de Campinas. Accessed March 29, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/332573.

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

MLA Handbook (7th Edition):

Pereira Barahona, Manuel Jesus, 1984-. “Inferência bayesiana para processos assimétricos fracionários .” 2018. Web. 29 Mar 2020.

Vancouver:

Pereira Barahona, Manuel Jesus 1. Inferência bayesiana para processos assimétricos fracionários . [Internet] [Thesis]. Universidade Estadual de Campinas; 2018. [cited 2020 Mar 29]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/332573.

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

Council of Science Editors:

Pereira Barahona, Manuel Jesus 1. Inferência bayesiana para processos assimétricos fracionários . [Thesis]. Universidade Estadual de Campinas; 2018. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/332573

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


Rochester Institute of Technology

18. Higbee, Shawn. A Bayesian approach to identfication of gaseous effluents in passive LWIR imagery.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2009, Rochester Institute of Technology

 Typically a regression approach is applied in order to identify the gaseous constituents present in a hyperspectral image, and the task of species identification amounts… (more)

Subjects/Keywords: Bayesian; Effluent; Gaseous; Identification; LWIR; MCMC

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

APA (6th Edition):

Higbee, S. (2009). A Bayesian approach to identfication of gaseous effluents in passive LWIR imagery. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2918

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):

Higbee, Shawn. “A Bayesian approach to identfication of gaseous effluents in passive LWIR imagery.” 2009. Thesis, Rochester Institute of Technology. Accessed March 29, 2020. https://scholarworks.rit.edu/theses/2918.

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

MLA Handbook (7th Edition):

Higbee, Shawn. “A Bayesian approach to identfication of gaseous effluents in passive LWIR imagery.” 2009. Web. 29 Mar 2020.

Vancouver:

Higbee S. A Bayesian approach to identfication of gaseous effluents in passive LWIR imagery. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2020 Mar 29]. Available from: https://scholarworks.rit.edu/theses/2918.

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

Council of Science Editors:

Higbee S. A Bayesian approach to identfication of gaseous effluents in passive LWIR imagery. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/2918

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


Brunel University

19. Koutsourelis, Antonios. Bayesian extreme quantile regression for hidden Markov models.

Degree: PhD, 2012, Brunel University

 The main contribution of this thesis is the introduction of Bayesian quantile regression for hidden Markov models, especially when we have to deal with extreme… (more)

Subjects/Keywords: 519.2; MCMC methods,; Statistical analysis; Parameter estimation.

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APA (6th Edition):

Koutsourelis, A. (2012). Bayesian extreme quantile regression for hidden Markov models. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945

Chicago Manual of Style (16th Edition):

Koutsourelis, Antonios. “Bayesian extreme quantile regression for hidden Markov models.” 2012. Doctoral Dissertation, Brunel University. Accessed March 29, 2020. http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945.

MLA Handbook (7th Edition):

Koutsourelis, Antonios. “Bayesian extreme quantile regression for hidden Markov models.” 2012. Web. 29 Mar 2020.

Vancouver:

Koutsourelis A. Bayesian extreme quantile regression for hidden Markov models. [Internet] [Doctoral dissertation]. Brunel University; 2012. [cited 2020 Mar 29]. Available from: http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945.

Council of Science Editors:

Koutsourelis A. Bayesian extreme quantile regression for hidden Markov models. [Doctoral Dissertation]. Brunel University; 2012. Available from: http://bura.brunel.ac.uk/handle/2438/7071 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560945


University of Sydney

20. Chen, Wilson Ye. New Advances in Dynamic Risk Models .

Degree: 2016, University of Sydney

 The central theme of the entire thesis is to explore new ways of modelling the time-varying conditional distributions of financial asset returns. Connected by this… (more)

Subjects/Keywords: Risk; Time Series; Bayesian; Volatility; MCMC; Garch

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APA (6th Edition):

Chen, W. Y. (2016). New Advances in Dynamic Risk Models . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16953

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

Chicago Manual of Style (16th Edition):

Chen, Wilson Ye. “New Advances in Dynamic Risk Models .” 2016. Thesis, University of Sydney. Accessed March 29, 2020. http://hdl.handle.net/2123/16953.

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

MLA Handbook (7th Edition):

Chen, Wilson Ye. “New Advances in Dynamic Risk Models .” 2016. Web. 29 Mar 2020.

Vancouver:

Chen WY. New Advances in Dynamic Risk Models . [Internet] [Thesis]. University of Sydney; 2016. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/2123/16953.

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

Council of Science Editors:

Chen WY. New Advances in Dynamic Risk Models . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16953

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


Princeton University

21. Lee, Holden. MCMC algorithms for sampling from multimodal and changing distributions .

Degree: PhD, 2019, Princeton University

 The problem of sampling from a probability distribution is a fundamental problem in Bayesian statistics and machine learning, with applications throughout the sciences. One common… (more)

Subjects/Keywords: algorithms; machine learning; Markov chain; MCMC; probability

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

APA (6th Edition):

Lee, H. (2019). MCMC algorithms for sampling from multimodal and changing distributions . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01c534fr81b

Chicago Manual of Style (16th Edition):

Lee, Holden. “MCMC algorithms for sampling from multimodal and changing distributions .” 2019. Doctoral Dissertation, Princeton University. Accessed March 29, 2020. http://arks.princeton.edu/ark:/88435/dsp01c534fr81b.

MLA Handbook (7th Edition):

Lee, Holden. “MCMC algorithms for sampling from multimodal and changing distributions .” 2019. Web. 29 Mar 2020.

Vancouver:

Lee H. MCMC algorithms for sampling from multimodal and changing distributions . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Mar 29]. Available from: http://arks.princeton.edu/ark:/88435/dsp01c534fr81b.

Council of Science Editors:

Lee H. MCMC algorithms for sampling from multimodal and changing distributions . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01c534fr81b


Australian National University

22. Mohasel Afshar, Hadi. Probabilistic Inference in Piecewise Graphical Models .

Degree: 2016, Australian National University

 In many applications of probabilistic inference the models contain piecewise densities that are differentiable except at partition boundaries. For instance, (1) some models may intrinsically… (more)

Subjects/Keywords: Piecewise; Graphical models; probabilistic inference; MCMC; sampling

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APA (6th Edition):

Mohasel Afshar, H. (2016). Probabilistic Inference in Piecewise Graphical Models . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/107386

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):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Thesis, Australian National University. Accessed March 29, 2020. http://hdl.handle.net/1885/107386.

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

MLA Handbook (7th Edition):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Web. 29 Mar 2020.

Vancouver:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Internet] [Thesis]. Australian National University; 2016. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1885/107386.

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

Council of Science Editors:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/107386

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


University of New South Wales

23. Zhu, Wanchuang. Bayesian computation of Markov random fields and its application in medical imaging.

Degree: Mathematics & Statistics, 2017, University of New South Wales

 PET imaging has been an active area of research over the recent years and has been used to facilitate disease diagnosis, for instance, in cancer/tumor… (more)

Subjects/Keywords: Conditional independence; Bayesian computation; MCMC; Imaging

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

APA (6th Edition):

Zhu, W. (2017). Bayesian computation of Markov random fields and its application in medical imaging. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57303 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43252/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zhu, Wanchuang. “Bayesian computation of Markov random fields and its application in medical imaging.” 2017. Doctoral Dissertation, University of New South Wales. Accessed March 29, 2020. http://handle.unsw.edu.au/1959.4/57303 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43252/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zhu, Wanchuang. “Bayesian computation of Markov random fields and its application in medical imaging.” 2017. Web. 29 Mar 2020.

Vancouver:

Zhu W. Bayesian computation of Markov random fields and its application in medical imaging. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Mar 29]. Available from: http://handle.unsw.edu.au/1959.4/57303 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43252/SOURCE02?view=true.

Council of Science Editors:

Zhu W. Bayesian computation of Markov random fields and its application in medical imaging. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57303 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43252/SOURCE02?view=true


Purdue University

24. Bhuiyan, Md Mansurul Alam. GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY.

Degree: PhD, Computer Science, 2016, Purdue University

 The traditional frequent pattern mining algorithms generate an exponentially large number of patterns of which a substantial portion are not much significant for many data… (more)

Subjects/Keywords: Interative Mining; MCMC Sampling; Personalized Patterns

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APA (6th Edition):

Bhuiyan, M. M. A. (2016). GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1378

Chicago Manual of Style (16th Edition):

Bhuiyan, Md Mansurul Alam. “GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY.” 2016. Doctoral Dissertation, Purdue University. Accessed March 29, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1378.

MLA Handbook (7th Edition):

Bhuiyan, Md Mansurul Alam. “GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY.” 2016. Web. 29 Mar 2020.

Vancouver:

Bhuiyan MMA. GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Mar 29]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1378.

Council of Science Editors:

Bhuiyan MMA. GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1378


University of Sydney

25. Contino, Christian. A Bayesian Approach to Risk Management in a World of High-Frequency Data .

Degree: 2015, University of Sydney

 A Realised Volatility GARCH model using high-frequency data is developed within a Bayesian framework for the purpose of forecasting Value at Risk and Conditional Value… (more)

Subjects/Keywords: Bayesian; GARCH; Copula; MCMC; Volatility; VaR

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

APA (6th Edition):

Contino, C. (2015). A Bayesian Approach to Risk Management in a World of High-Frequency Data . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/14728

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):

Contino, Christian. “A Bayesian Approach to Risk Management in a World of High-Frequency Data .” 2015. Thesis, University of Sydney. Accessed March 29, 2020. http://hdl.handle.net/2123/14728.

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

MLA Handbook (7th Edition):

Contino, Christian. “A Bayesian Approach to Risk Management in a World of High-Frequency Data .” 2015. Web. 29 Mar 2020.

Vancouver:

Contino C. A Bayesian Approach to Risk Management in a World of High-Frequency Data . [Internet] [Thesis]. University of Sydney; 2015. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/2123/14728.

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

Council of Science Editors:

Contino C. A Bayesian Approach to Risk Management in a World of High-Frequency Data . [Thesis]. University of Sydney; 2015. Available from: http://hdl.handle.net/2123/14728

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


Princeton University

26. Lee, Holden. MCMC algorithms for sampling from multimodal and changing distributions .

Degree: PhD, 2019, Princeton University

 The problem of sampling from a probability distribution is a fundamental problem in Bayesian statistics and machine learning, with applications throughout the sciences. One common… (more)

Subjects/Keywords: algorithms; machine learning; Markov chain; MCMC; probability

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

APA (6th Edition):

Lee, H. (2019). MCMC algorithms for sampling from multimodal and changing distributions . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01pr76f629s

Chicago Manual of Style (16th Edition):

Lee, Holden. “MCMC algorithms for sampling from multimodal and changing distributions .” 2019. Doctoral Dissertation, Princeton University. Accessed March 29, 2020. http://arks.princeton.edu/ark:/88435/dsp01pr76f629s.

MLA Handbook (7th Edition):

Lee, Holden. “MCMC algorithms for sampling from multimodal and changing distributions .” 2019. Web. 29 Mar 2020.

Vancouver:

Lee H. MCMC algorithms for sampling from multimodal and changing distributions . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Mar 29]. Available from: http://arks.princeton.edu/ark:/88435/dsp01pr76f629s.

Council of Science Editors:

Lee H. MCMC algorithms for sampling from multimodal and changing distributions . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01pr76f629s


University of Toronto

27. Yang, Chao. Ergodicity of Adaptive MCMC and its Applications.

Degree: 2009, University of Toronto

Markov chain Monte Carlo algorithms (MCMC) and Adaptive Markov chain Monte Carlo algorithms (AMCMC) are most important methods of approximately sampling from complicated probability distributions… (more)

Subjects/Keywords: Adaptive; MCMC; 0463

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APA (6th Edition):

Yang, C. (2009). Ergodicity of Adaptive MCMC and its Applications. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/17849

Chicago Manual of Style (16th Edition):

Yang, Chao. “Ergodicity of Adaptive MCMC and its Applications.” 2009. Doctoral Dissertation, University of Toronto. Accessed March 29, 2020. http://hdl.handle.net/1807/17849.

MLA Handbook (7th Edition):

Yang, Chao. “Ergodicity of Adaptive MCMC and its Applications.” 2009. Web. 29 Mar 2020.

Vancouver:

Yang C. Ergodicity of Adaptive MCMC and its Applications. [Internet] [Doctoral dissertation]. University of Toronto; 2009. [cited 2020 Mar 29]. Available from: http://hdl.handle.net/1807/17849.

Council of Science Editors:

Yang C. Ergodicity of Adaptive MCMC and its Applications. [Doctoral Dissertation]. University of Toronto; 2009. Available from: http://hdl.handle.net/1807/17849

28. Thiersch, Monica Fabiana Bento Moreira. Abordagem bayesiana dos modelos de regressão hipsométricos não lineares utilizados em biometria florestal.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2011, University of São Paulo

Neste trabalho está sendo proposto uma abordagem bayesiana para resolver o problema de inferência com restrição nos parâmetros para os modelos de Petterson, Prodan, Stofel… (more)

Subjects/Keywords: Bayesian approach; Hypsometric models; MCMC; MCMC; Método bayesiano; Modelos hipsométricos; Nonlinear regressian; Regressão não linear

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

APA (6th Edition):

Thiersch, M. F. B. M. (2011). Abordagem bayesiana dos modelos de regressão hipsométricos não lineares utilizados em biometria florestal. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052011-152309/ ;

Chicago Manual of Style (16th Edition):

Thiersch, Monica Fabiana Bento Moreira. “Abordagem bayesiana dos modelos de regressão hipsométricos não lineares utilizados em biometria florestal.” 2011. Doctoral Dissertation, University of São Paulo. Accessed March 29, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052011-152309/ ;.

MLA Handbook (7th Edition):

Thiersch, Monica Fabiana Bento Moreira. “Abordagem bayesiana dos modelos de regressão hipsométricos não lineares utilizados em biometria florestal.” 2011. Web. 29 Mar 2020.

Vancouver:

Thiersch MFBM. Abordagem bayesiana dos modelos de regressão hipsométricos não lineares utilizados em biometria florestal. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2020 Mar 29]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052011-152309/ ;.

Council of Science Editors:

Thiersch MFBM. Abordagem bayesiana dos modelos de regressão hipsométricos não lineares utilizados em biometria florestal. [Doctoral Dissertation]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052011-152309/ ;

29. Manoel, Paulo Martins Barbosa Fortes. Impacto de saltos no comportamento de preços de commodities.

Degree: Mestrado, Teoria Econômica, 2012, University of São Paulo

Neste trabalho analisa-se a relevância de saltos no apreçamento de derivativos de commodities através da comparação de dois modelos. O primeiro leva em consideração um… (more)

Subjects/Keywords: Bolsa de mercadorias; Derivatives; Derivativos; Finanças; Finance; MCMC methods; Métodos MCMC; Oil; Petróleo; Stock exchange

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

APA (6th Edition):

Manoel, P. M. B. F. (2012). Impacto de saltos no comportamento de preços de commodities. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/12/12138/tde-30012013-181933/ ;

Chicago Manual of Style (16th Edition):

Manoel, Paulo Martins Barbosa Fortes. “Impacto de saltos no comportamento de preços de commodities.” 2012. Masters Thesis, University of São Paulo. Accessed March 29, 2020. http://www.teses.usp.br/teses/disponiveis/12/12138/tde-30012013-181933/ ;.

MLA Handbook (7th Edition):

Manoel, Paulo Martins Barbosa Fortes. “Impacto de saltos no comportamento de preços de commodities.” 2012. Web. 29 Mar 2020.

Vancouver:

Manoel PMBF. Impacto de saltos no comportamento de preços de commodities. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2020 Mar 29]. Available from: http://www.teses.usp.br/teses/disponiveis/12/12138/tde-30012013-181933/ ;.

Council of Science Editors:

Manoel PMBF. Impacto de saltos no comportamento de preços de commodities. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/12/12138/tde-30012013-181933/ ;


Universidade Federal de Viçosa

30. Vinícius Ribeiro Faria. Inferência bayesiana de modelos mistos em genética quantitativa de espécies vegetais.

Degree: 2012, Universidade Federal de Viçosa

Predição de valores genéticos e componentes de variância via Inferência Bayesiana ainda são raras no melhoramento de culturas anuais. Desse modo, os objetivos deste trabalho… (more)

Subjects/Keywords: GENETICA E MELHORAMENTO FLORESTAL; MCMC; JAGS; Amostrador Gibbs; MCMC; JAGS; Gibbs sampler

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

APA (6th Edition):

Faria, V. R. (2012). Inferência bayesiana de modelos mistos em genética quantitativa de espécies vegetais. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4479

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):

Faria, Vinícius Ribeiro. “Inferência bayesiana de modelos mistos em genética quantitativa de espécies vegetais.” 2012. Thesis, Universidade Federal de Viçosa. Accessed March 29, 2020. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4479.

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

MLA Handbook (7th Edition):

Faria, Vinícius Ribeiro. “Inferência bayesiana de modelos mistos em genética quantitativa de espécies vegetais.” 2012. Web. 29 Mar 2020.

Vancouver:

Faria VR. Inferência bayesiana de modelos mistos em genética quantitativa de espécies vegetais. [Internet] [Thesis]. Universidade Federal de Viçosa; 2012. [cited 2020 Mar 29]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4479.

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

Council of Science Editors:

Faria VR. Inferência bayesiana de modelos mistos em genética quantitativa de espécies vegetais. [Thesis]. Universidade Federal de Viçosa; 2012. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4479

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

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