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You searched for subject:( Nested sampling). Showing records 1 – 19 of 19 total matches.

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1. Walter, Clément. Using Poisson processes for rare event simulation : De l'utilisation des processus de Poisson pour la simulation d'événements rares.

Degree: Docteur es, Mathématiques appliquées, 2016, Sorbonne Paris Cité

Cette thèse est une contribution à la problématique de la simulation d'événements rares. A partir de l'étude des méthodes de Splitting, un nouveau cadre théorique… (more)

Subjects/Keywords: Splitting; Subset Simulation; Nested sampling; Calcul parallèle; Splitting; Subset Simulation; Nested sampling; Parallel computation

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

APA (6th Edition):

Walter, C. (2016). Using Poisson processes for rare event simulation : De l'utilisation des processus de Poisson pour la simulation d'événements rares. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2016USPCC304

Chicago Manual of Style (16th Edition):

Walter, Clément. “Using Poisson processes for rare event simulation : De l'utilisation des processus de Poisson pour la simulation d'événements rares.” 2016. Doctoral Dissertation, Sorbonne Paris Cité. Accessed October 19, 2019. http://www.theses.fr/2016USPCC304.

MLA Handbook (7th Edition):

Walter, Clément. “Using Poisson processes for rare event simulation : De l'utilisation des processus de Poisson pour la simulation d'événements rares.” 2016. Web. 19 Oct 2019.

Vancouver:

Walter C. Using Poisson processes for rare event simulation : De l'utilisation des processus de Poisson pour la simulation d'événements rares. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2016. [cited 2019 Oct 19]. Available from: http://www.theses.fr/2016USPCC304.

Council of Science Editors:

Walter C. Using Poisson processes for rare event simulation : De l'utilisation des processus de Poisson pour la simulation d'événements rares. [Doctoral Dissertation]. Sorbonne Paris Cité; 2016. Available from: http://www.theses.fr/2016USPCC304


University of Newcastle

2. Stokes, Barrie James. New prior sampling methods and equidistribution testing for nested sampling.

Degree: PhD, 2018, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Nested Sampling is a Monte Carlo-based algorithm for fitting statistical models to data in the Bayesian setting, introduced… (more)

Subjects/Keywords: nested sampling; Bayesian model fitting; likelihood-restricted prior sampling; equidistribution testing

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APA (6th Edition):

Stokes, B. J. (2018). New prior sampling methods and equidistribution testing for nested sampling. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1391811

Chicago Manual of Style (16th Edition):

Stokes, Barrie James. “New prior sampling methods and equidistribution testing for nested sampling.” 2018. Doctoral Dissertation, University of Newcastle. Accessed October 19, 2019. http://hdl.handle.net/1959.13/1391811.

MLA Handbook (7th Edition):

Stokes, Barrie James. “New prior sampling methods and equidistribution testing for nested sampling.” 2018. Web. 19 Oct 2019.

Vancouver:

Stokes BJ. New prior sampling methods and equidistribution testing for nested sampling. [Internet] [Doctoral dissertation]. University of Newcastle; 2018. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1959.13/1391811.

Council of Science Editors:

Stokes BJ. New prior sampling methods and equidistribution testing for nested sampling. [Doctoral Dissertation]. University of Newcastle; 2018. Available from: http://hdl.handle.net/1959.13/1391811


University of Cambridge

3. Griffiths, Matthew. Sampling Configurational Energy Landscapes .

Degree: 2019, University of Cambridge

 The computational analysis of high dimensional surfaces is a fundamental problem across a wide range of scientific fields, for example in the study of models… (more)

Subjects/Keywords: Alignment; RMSD; MCMC; Nested Sampling; Computational Methods; Thermodynamics; Lennard-Jones

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APA (6th Edition):

Griffiths, M. (2019). Sampling Configurational Energy Landscapes . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293644

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):

Griffiths, Matthew. “Sampling Configurational Energy Landscapes .” 2019. Thesis, University of Cambridge. Accessed October 19, 2019. https://www.repository.cam.ac.uk/handle/1810/293644.

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

MLA Handbook (7th Edition):

Griffiths, Matthew. “Sampling Configurational Energy Landscapes .” 2019. Web. 19 Oct 2019.

Vancouver:

Griffiths M. Sampling Configurational Energy Landscapes . [Internet] [Thesis]. University of Cambridge; 2019. [cited 2019 Oct 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/293644.

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

Council of Science Editors:

Griffiths M. Sampling Configurational Energy Landscapes . [Thesis]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293644

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


University of Cambridge

4. Griffiths, Matthew. Sampling configurational energy landscapes.

Degree: PhD, 2019, University of Cambridge

 The computational analysis of high dimensional surfaces is a fundamental problem across a wide range of scientific fields, for example in the study of models… (more)

Subjects/Keywords: Alignment; RMSD; MCMC; Nested Sampling; Computational Methods; Thermodynamics; Lennard-Jones

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

APA (6th Edition):

Griffiths, M. (2019). Sampling configurational energy landscapes. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293644 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782831

Chicago Manual of Style (16th Edition):

Griffiths, Matthew. “Sampling configurational energy landscapes.” 2019. Doctoral Dissertation, University of Cambridge. Accessed October 19, 2019. https://www.repository.cam.ac.uk/handle/1810/293644 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782831.

MLA Handbook (7th Edition):

Griffiths, Matthew. “Sampling configurational energy landscapes.” 2019. Web. 19 Oct 2019.

Vancouver:

Griffiths M. Sampling configurational energy landscapes. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Oct 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/293644 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782831.

Council of Science Editors:

Griffiths M. Sampling configurational energy landscapes. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293644 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782831


University of Melbourne

5. TANG, ROBERT. New methods and improvements to Monte-Carlo methods for pricing derivative securities.

Degree: 2012, University of Melbourne

 This thesis presents new Monte Carlo methods for pricing financial derivative securities. Some of these new methods are entirely original ideas whilst others are improvements… (more)

Subjects/Keywords: Bermudan options; Monte-Carlo; derivatives; stratified sampling; barrier options; non-nested simulations; hedging; pathwise method; BGM; LMM; Libor Market Model; Heston

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APA (6th Edition):

TANG, R. (2012). New methods and improvements to Monte-Carlo methods for pricing derivative securities. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37624

Chicago Manual of Style (16th Edition):

TANG, ROBERT. “New methods and improvements to Monte-Carlo methods for pricing derivative securities.” 2012. Doctoral Dissertation, University of Melbourne. Accessed October 19, 2019. http://hdl.handle.net/11343/37624.

MLA Handbook (7th Edition):

TANG, ROBERT. “New methods and improvements to Monte-Carlo methods for pricing derivative securities.” 2012. Web. 19 Oct 2019.

Vancouver:

TANG R. New methods and improvements to Monte-Carlo methods for pricing derivative securities. [Internet] [Doctoral dissertation]. University of Melbourne; 2012. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/11343/37624.

Council of Science Editors:

TANG R. New methods and improvements to Monte-Carlo methods for pricing derivative securities. [Doctoral Dissertation]. University of Melbourne; 2012. Available from: http://hdl.handle.net/11343/37624


Brno University of Technology

6. Slowik, Ondřej. Optimalizace betonových konstrukcí stochastickými metodami optimalizace .

Degree: 2012, Brno University of Technology

 Práce si klade za cíl přiblížit čtenáři smysl optimalizace a její význam pro stavební praxi. Naznačuje principy některých používaných optimalizačních metod a zabývá se možností… (more)

Subjects/Keywords: Optimalizace; Simulované žíhání; Genetické algoritmy; LHS; Nested LHS; Monte Carlo; Latin Hypercube Sampling; Optimalizační metody; Nelineární řešení; Metoda konečných prvků; Optimization; Simulated Annealing; Genetic Algorithms; LHS; LHS Nested; Monte Carlo; Latin Hypercube Sampling; Optimization Methods; Nonlinear Solution; Finite Element Method

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

APA (6th Edition):

Slowik, O. (2012). Optimalizace betonových konstrukcí stochastickými metodami optimalizace . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/17001

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):

Slowik, Ondřej. “Optimalizace betonových konstrukcí stochastickými metodami optimalizace .” 2012. Thesis, Brno University of Technology. Accessed October 19, 2019. http://hdl.handle.net/11012/17001.

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

MLA Handbook (7th Edition):

Slowik, Ondřej. “Optimalizace betonových konstrukcí stochastickými metodami optimalizace .” 2012. Web. 19 Oct 2019.

Vancouver:

Slowik O. Optimalizace betonových konstrukcí stochastickými metodami optimalizace . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/11012/17001.

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

Council of Science Editors:

Slowik O. Optimalizace betonových konstrukcí stochastickými metodami optimalizace . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/17001

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


University of Cincinnati

7. Jin, Yan. Bayesian Solution to the Analysis of Data with Values below the Limit of Detection (LOD).

Degree: PhD, Arts and Sciences : Mathematical Sciences, 2008, University of Cincinnati

 In this dissertation, Bayesian solutions have been given to the repeated measure model (chapter II), the nested random effects repeated measure model (chapter III), the… (more)

Subjects/Keywords: Mathematics; Statistics; Bayesian; Censored data; Limit of detection; LOD; Censoring; Repeated measure; Nested random effects; Mixture model; Gibbs sampling; Metropolis-Hastings algorithm; DIC

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APA (6th Edition):

Jin, Y. (2008). Bayesian Solution to the Analysis of Data with Values below the Limit of Detection (LOD). (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227293204

Chicago Manual of Style (16th Edition):

Jin, Yan. “Bayesian Solution to the Analysis of Data with Values below the Limit of Detection (LOD).” 2008. Doctoral Dissertation, University of Cincinnati. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227293204.

MLA Handbook (7th Edition):

Jin, Yan. “Bayesian Solution to the Analysis of Data with Values below the Limit of Detection (LOD).” 2008. Web. 19 Oct 2019.

Vancouver:

Jin Y. Bayesian Solution to the Analysis of Data with Values below the Limit of Detection (LOD). [Internet] [Doctoral dissertation]. University of Cincinnati; 2008. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227293204.

Council of Science Editors:

Jin Y. Bayesian Solution to the Analysis of Data with Values below the Limit of Detection (LOD). [Doctoral Dissertation]. University of Cincinnati; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227293204


University of Cambridge

8. Higson, Edward John. Bayesian methods and machine learning in astrophysics.

Degree: PhD, 2019, University of Cambridge

 This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters… (more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

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

APA (6th Edition):

Higson, E. J. (2019). Bayesian methods and machine learning in astrophysics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Chicago Manual of Style (16th Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Doctoral Dissertation, University of Cambridge. Accessed October 19, 2019. https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

MLA Handbook (7th Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Web. 19 Oct 2019.

Vancouver:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Oct 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

Council of Science Editors:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/289728 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

9. Aissaoui, Hind. Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives : Residential location choice in urban areas : recent discrete choice model with large number of alternatives.

Degree: Docteur es, Sciences économiques, 2016, Lyon

Cette thèse, portant sur le choix de localisation résidentielle des ménages, s’inscrit dans le cadre théorique de la microéconomie urbaine et de l’utilité aléatoire. Si… (more)

Subjects/Keywords: Aire urbaine de Lyon; Choix de localisation; Échantillonnage d'alternatives; Logit multinomial; Logit emboîté; Autocorrélation spatiale; Transférabilité; Lyon urban area; Location choice; Sampling of alternatives; Multinomial logit; Nested logit; Spatial autocorrelation; Transferability

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

APA (6th Edition):

Aissaoui, H. (2016). Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives : Residential location choice in urban areas : recent discrete choice model with large number of alternatives. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSE2093

Chicago Manual of Style (16th Edition):

Aissaoui, Hind. “Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives : Residential location choice in urban areas : recent discrete choice model with large number of alternatives.” 2016. Doctoral Dissertation, Lyon. Accessed October 19, 2019. http://www.theses.fr/2016LYSE2093.

MLA Handbook (7th Edition):

Aissaoui, Hind. “Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives : Residential location choice in urban areas : recent discrete choice model with large number of alternatives.” 2016. Web. 19 Oct 2019.

Vancouver:

Aissaoui H. Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives : Residential location choice in urban areas : recent discrete choice model with large number of alternatives. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2019 Oct 19]. Available from: http://www.theses.fr/2016LYSE2093.

Council of Science Editors:

Aissaoui H. Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives : Residential location choice in urban areas : recent discrete choice model with large number of alternatives. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSE2093


University of Florida

10. He, Zhulin. Causal Inference with Complex Sampling Designs.

Degree: PhD, Biostatistics, 2012, University of Florida

 This PhD dissertation concerns causal inference with data from complex sampling designs. It consist of several aspects regarding newly developed or implemented methodologies with complex… (more)

Subjects/Keywords: Estimation methods; Estimators; Logistic regression; Maximum likelihood estimations; Maximum likelihood estimators; National health insurance; Sampling bias; Simulations; Statistics; Survey data; causal-inference  – complex-survey-data  – confounding  – instrumental-variable  – logistic-regression  – matched-pairs  – pseudolikelihood  – structural-nested-models

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

APA (6th Edition):

He, Z. (2012). Causal Inference with Complex Sampling Designs. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044538

Chicago Manual of Style (16th Edition):

He, Zhulin. “Causal Inference with Complex Sampling Designs.” 2012. Doctoral Dissertation, University of Florida. Accessed October 19, 2019. http://ufdc.ufl.edu/UFE0044538.

MLA Handbook (7th Edition):

He, Zhulin. “Causal Inference with Complex Sampling Designs.” 2012. Web. 19 Oct 2019.

Vancouver:

He Z. Causal Inference with Complex Sampling Designs. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Oct 19]. Available from: http://ufdc.ufl.edu/UFE0044538.

Council of Science Editors:

He Z. Causal Inference with Complex Sampling Designs. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044538


University of Queensland

11. Salomone, Robert. Advances in Monte Carlo methodology.

Degree: School of Mathematics & Physics, 2018, University of Queensland

Subjects/Keywords: Monte Carlo methods; Nested Sampling; Sequential Monte Carlo; Sums of lognormal random variables; Density estimation; 0104 Statistics

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APA (6th Edition):

Salomone, R. (2018). Advances in Monte Carlo methodology. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:6

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):

Salomone, Robert. “Advances in Monte Carlo methodology.” 2018. Thesis, University of Queensland. Accessed October 19, 2019. http://espace.library.uq.edu.au/view/UQ:6.

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

MLA Handbook (7th Edition):

Salomone, Robert. “Advances in Monte Carlo methodology.” 2018. Web. 19 Oct 2019.

Vancouver:

Salomone R. Advances in Monte Carlo methodology. [Internet] [Thesis]. University of Queensland; 2018. [cited 2019 Oct 19]. Available from: http://espace.library.uq.edu.au/view/UQ:6.

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

Council of Science Editors:

Salomone R. Advances in Monte Carlo methodology. [Thesis]. University of Queensland; 2018. Available from: http://espace.library.uq.edu.au/view/UQ:6

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


University of Waterloo

12. Wesolkowski, Slawomir Bogumil. Stochastic Nested Aggregation for Images and Random Fields.

Degree: 2007, University of Waterloo

 Image segmentation is a critical step in building a computer vision algorithm that is able to distinguish between separate objects in an image scene. Image… (more)

Subjects/Keywords: random fields; image segmentation; Potts model; hierarchical; nested aggregation; simulated annealing; iterated conditional modes; image patches; color; phase unwrapping; shading invariant; highlight invariant; energy model; Gibbs sampling; graduated models; nested models

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APA (6th Edition):

Wesolkowski, S. B. (2007). Stochastic Nested Aggregation for Images and Random Fields. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/2998

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):

Wesolkowski, Slawomir Bogumil. “Stochastic Nested Aggregation for Images and Random Fields.” 2007. Thesis, University of Waterloo. Accessed October 19, 2019. http://hdl.handle.net/10012/2998.

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

MLA Handbook (7th Edition):

Wesolkowski, Slawomir Bogumil. “Stochastic Nested Aggregation for Images and Random Fields.” 2007. Web. 19 Oct 2019.

Vancouver:

Wesolkowski SB. Stochastic Nested Aggregation for Images and Random Fields. [Internet] [Thesis]. University of Waterloo; 2007. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10012/2998.

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

Council of Science Editors:

Wesolkowski SB. Stochastic Nested Aggregation for Images and Random Fields. [Thesis]. University of Waterloo; 2007. Available from: http://hdl.handle.net/10012/2998

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


University of Cambridge

13. Higson, Edward John. Bayesian Methods and Machine Learning in Astrophysics .

Degree: University of Cambridge

 This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters… (more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; error analysis; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

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

APA (6th Edition):

Higson, E. J. (n.d.). Bayesian Methods and Machine Learning in Astrophysics . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Thesis, University of Cambridge. Accessed October 19, 2019. https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Higson, Edward John. “Bayesian Methods and Machine Learning in Astrophysics .” Web. 19 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Internet] [Thesis]. University of Cambridge; [cited 2019 Oct 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/289728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Higson EJ. Bayesian Methods and Machine Learning in Astrophysics . [Thesis]. University of Cambridge; Available from: https://www.repository.cam.ac.uk/handle/1810/289728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of South Africa

14. Ondo, Guy-Roger Abessolo. Mathematical methods for portfolio management .

Degree: 2009, University of South Africa

 Portfolio Management is the process of allocating an investor's wealth to in­ vestment opportunities over a given planning period. Not only should Portfolio Management be… (more)

Subjects/Keywords: Approximation schemes; Extreme value theory; Importance sampling; Nested decomposition; Portfolio management; Postoptimality analysis; Progressive hedging; Scenario aggregation; Stochastic programming; Stochastic Quasi-gradient; Value-at-risk

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APA (6th Edition):

Ondo, G. A. (2009). Mathematical methods for portfolio management . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/784

Chicago Manual of Style (16th Edition):

Ondo, Guy-Roger Abessolo. “Mathematical methods for portfolio management .” 2009. Masters Thesis, University of South Africa. Accessed October 19, 2019. http://hdl.handle.net/10500/784.

MLA Handbook (7th Edition):

Ondo, Guy-Roger Abessolo. “Mathematical methods for portfolio management .” 2009. Web. 19 Oct 2019.

Vancouver:

Ondo GA. Mathematical methods for portfolio management . [Internet] [Masters thesis]. University of South Africa; 2009. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10500/784.

Council of Science Editors:

Ondo GA. Mathematical methods for portfolio management . [Masters Thesis]. University of South Africa; 2009. Available from: http://hdl.handle.net/10500/784

15. Marklund, Emil. Bayesian inference in aggregated hidden Markov models.

Degree: Biology Education Centre, 2015, Uppsala University

  Single molecule experiments study the kinetics of molecular biological systems. Many such studies generate data that can be described by aggregated hidden Markov models,… (more)

Subjects/Keywords: Bayesian inference; aggregated hidden Markov models; model selection; variational Bayes; nested sampling; single molecule data; Biophysics; Biofysik; Other Computer and Information Science; Annan data- och informationsvetenskap

…level MATLAB code implementing VB, naive exact inference or nested sampling. The priors used… …convergence for the given number of observed sequences included in x . Nested sampling An… …nested sampling the prior is sampled in a more clever way than in the naive approach described… …form of more efficient sampling is needed when the data amount increases. The nested sampling… …x29;. 24 The whole point of the nested sampling algorithm is to generate many samples in… 

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

APA (6th Edition):

Marklund, E. (2015). Bayesian inference in aggregated hidden Markov models. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090

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):

Marklund, Emil. “Bayesian inference in aggregated hidden Markov models.” 2015. Thesis, Uppsala University. Accessed October 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090.

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

MLA Handbook (7th Edition):

Marklund, Emil. “Bayesian inference in aggregated hidden Markov models.” 2015. Web. 19 Oct 2019.

Vancouver:

Marklund E. Bayesian inference in aggregated hidden Markov models. [Internet] [Thesis]. Uppsala University; 2015. [cited 2019 Oct 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090.

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

Council of Science Editors:

Marklund E. Bayesian inference in aggregated hidden Markov models. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243090

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

16. Moazzen, Iman. Array Signal Processing for Beamforming and Blind Source Separation.

Degree: Dept. of Electrical and Computer Engineering, 2013, University of Victoria

 A new broadband beamformer composed of nested arrays (NAs), multi-dimensional (MD) filters, and multirate techniques is proposed for both linear and planar arrays. It is… (more)

Subjects/Keywords: Array Signal Processing; Beamforming; Blind Source Separation; Multidimensional Filters; Nested Arrays; Non-Uniform Filter Bank; Perfect Reconstruction; Space-Time Equalizer; DOA Estimation; Hexagonal Sampling Pattern; Rectangular Sampling Pattern; Co-Channel Interference; Inter-Symbol Interference

…115 5.1.1 Broadband Beamforming Using Multi-Dimensional Filers, Nested Arrays, and Multi… …47 Figure ‎ 2.22. Rectangular and hexagonal sampling pattern (unit length is d )… …sampling: (a) from the isometric view, (b) from the top view, and using… …hexagonal sampling: (c) from the isometric view, (d) from the top view… …68 Figure ‎ 3.2. Example 1 – Filter bank with {2,2} as the sampling set, designed… 

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

APA (6th Edition):

Moazzen, I. (2013). Array Signal Processing for Beamforming and Blind Source Separation. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/4580

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):

Moazzen, Iman. “Array Signal Processing for Beamforming and Blind Source Separation.” 2013. Thesis, University of Victoria. Accessed October 19, 2019. http://hdl.handle.net/1828/4580.

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

MLA Handbook (7th Edition):

Moazzen, Iman. “Array Signal Processing for Beamforming and Blind Source Separation.” 2013. Web. 19 Oct 2019.

Vancouver:

Moazzen I. Array Signal Processing for Beamforming and Blind Source Separation. [Internet] [Thesis]. University of Victoria; 2013. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1828/4580.

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

Council of Science Editors:

Moazzen I. Array Signal Processing for Beamforming and Blind Source Separation. [Thesis]. University of Victoria; 2013. Available from: http://hdl.handle.net/1828/4580

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


Université de Montréal

17. Martel, Marie-Josée. L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant .

Degree: 2009, Université de Montréal

Subjects/Keywords: Épidémiologie; Epidemiology; Banque de données administratives du Québec; Administrative health databases from Quebec; Questionnaire; Questionnaire; Cohorte; Cohort; Cas-témoins imbriqué dans une cohorte; Nested case-control study; Deux niveaux d'échantillonnage; Two-stage sampling; Déterminants; Determinants; Incidence; Incidence; Asthme; Asthma; Grossesse; Pregnancy; Enfant; Child

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

APA (6th Edition):

Martel, M. (2009). L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/6655

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):

Martel, Marie-Josée. “L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant .” 2009. Thesis, Université de Montréal. Accessed October 19, 2019. http://hdl.handle.net/1866/6655.

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

MLA Handbook (7th Edition):

Martel, Marie-Josée. “L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant .” 2009. Web. 19 Oct 2019.

Vancouver:

Martel M. L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant . [Internet] [Thesis]. Université de Montréal; 2009. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1866/6655.

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

Council of Science Editors:

Martel M. L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant . [Thesis]. Université de Montréal; 2009. Available from: http://hdl.handle.net/1866/6655

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


University of Cambridge

18. Hee, Sonke. Computational Bayesian techniques applied to cosmology.

Degree: PhD, 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

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

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549

Chicago Manual of Style (16th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Doctoral Dissertation, University of Cambridge. Accessed October 19, 2019. https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology.” 2018. Web. 19 Oct 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Oct 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549.

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744549


University of Cambridge

19. Hee, Sonke. Computational Bayesian techniques applied to cosmology .

Degree: 2018, University of Cambridge

 This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well… (more)

Subjects/Keywords: Bayesian inference; Cosmology; Dark Energy; LCDM; Quintessence; Statistics; Gravitational waves; Tests of GR; Computational acceleration; Nested Sampling; General Relativity; Multinest; PolyChord; Product Space MCMC; Model selection; Posterior odds; Posterior Odds Ratio; Bayes factors; Parameter estimation; Equation of state; Phantom Dark Energy; Microwave background radiation; CMB; Supernovae; Baryonic Acoustic Oscillations; Data constraints; Kullback Leibler Divergence; KL divergence; LIGO; Constraining power; Lyman alpha forest; Bayesian; Bayes theorem; Probability; Efficiency; Concordance model; Parameter reconstruction; Marginal Likelihood; Kerr waveform; Free-form reconstruction; w(z); w=-1; Cosmological constant; Model comparison; Evidence; CosmoMC; CAMB; Hyper-likelihood; Model averaging; Planck

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hee, S. (2018). Computational Bayesian techniques applied to cosmology . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/273346

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):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Thesis, University of Cambridge. Accessed October 19, 2019. https://www.repository.cam.ac.uk/handle/1810/273346.

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

MLA Handbook (7th Edition):

Hee, Sonke. “Computational Bayesian techniques applied to cosmology .” 2018. Web. 19 Oct 2019.

Vancouver:

Hee S. Computational Bayesian techniques applied to cosmology . [Internet] [Thesis]. University of Cambridge; 2018. [cited 2019 Oct 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/273346.

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

Council of Science Editors:

Hee S. Computational Bayesian techniques applied to cosmology . [Thesis]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/273346

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

.