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You searched for subject:(Bayesian Estimation). Showing records 1 – 30 of 478 total matches.

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INP Toulouse

1. Lesouple, Julien. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.

Degree: Docteur es, Informatique et Télécommunication, 2019, INP Toulouse

L’évolution des technologies électroniques (miniaturisation, diminution des coûts) a permis aux GNSS (systèmes de navigation par satellites) d’être de plus en plus accessibles et doncutilisés… (more)

Subjects/Keywords: Gnss; Navigation; Estimation parcimonieuse; Estimation bayésienne; Multitrajets; Gnss; Navigation; Sparse estimation; Bayesian estimation; Multipth

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APA (6th Edition):

Lesouple, J. (2019). Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2019INPT0020

Chicago Manual of Style (16th Edition):

Lesouple, Julien. “Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.” 2019. Doctoral Dissertation, INP Toulouse. Accessed September 20, 2020. http://www.theses.fr/2019INPT0020.

MLA Handbook (7th Edition):

Lesouple, Julien. “Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.” 2019. Web. 20 Sep 2020.

Vancouver:

Lesouple J. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. [Internet] [Doctoral dissertation]. INP Toulouse; 2019. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2019INPT0020.

Council of Science Editors:

Lesouple J. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. [Doctoral Dissertation]. INP Toulouse; 2019. Available from: http://www.theses.fr/2019INPT0020


Cornell University

2. Havlak, Francis. Probabilistic Anticipation For Autonomous Urban Robots.

Degree: PhD, Mechanical Engineering, 2015, Cornell University

 The ability to anticipate the behavior of other vehicles on the road is a key part of how humans drive safely in complex environments. This… (more)

Subjects/Keywords: Autonomous Driving; Bayesian Estimation; Machine Learning

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APA (6th Edition):

Havlak, F. (2015). Probabilistic Anticipation For Autonomous Urban Robots. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/40632

Chicago Manual of Style (16th Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots.” 2015. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/40632.

MLA Handbook (7th Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots.” 2015. Web. 20 Sep 2020.

Vancouver:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/40632.

Council of Science Editors:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40632


Vanderbilt University

3. Chen, Kan. Essays on international real business cycle models and Bayesian estimation.

Degree: PhD, Economics, 2013, Vanderbilt University

 My dissertation consists of three essays that study the properties of international business cycle, and the underline driving forces of their comovement. In the first… (more)

Subjects/Keywords: Bayesian estimation; real business cycle; international

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APA (6th Edition):

Chen, K. (2013). Essays on international real business cycle models and Bayesian estimation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12919

Chicago Manual of Style (16th Edition):

Chen, Kan. “Essays on international real business cycle models and Bayesian estimation.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed September 20, 2020. http://hdl.handle.net/1803/12919.

MLA Handbook (7th Edition):

Chen, Kan. “Essays on international real business cycle models and Bayesian estimation.” 2013. Web. 20 Sep 2020.

Vancouver:

Chen K. Essays on international real business cycle models and Bayesian estimation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1803/12919.

Council of Science Editors:

Chen K. Essays on international real business cycle models and Bayesian estimation. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/12919


University of Rochester

4. Voleti, Sudhir (1977 - ). Estimating brand equity from aggregate data.

Degree: PhD, 2009, University of Rochester

 Brands are now widely recognized as among a firm’s most valuable assets. Hence the assessment of the value or equity of brand assets has attracted… (more)

Subjects/Keywords: Brand equity; Random effects; Bayesian estimation

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APA (6th Edition):

Voleti, S. (. -. ). (2009). Estimating brand equity from aggregate data. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/7838

Chicago Manual of Style (16th Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Doctoral Dissertation, University of Rochester. Accessed September 20, 2020. http://hdl.handle.net/1802/7838.

MLA Handbook (7th Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Web. 20 Sep 2020.

Vancouver:

Voleti S(-). Estimating brand equity from aggregate data. [Internet] [Doctoral dissertation]. University of Rochester; 2009. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1802/7838.

Council of Science Editors:

Voleti S(-). Estimating brand equity from aggregate data. [Doctoral Dissertation]. University of Rochester; 2009. Available from: http://hdl.handle.net/1802/7838

5. Yildirim, Sinan. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.

Degree: PhD, 2013, University of Cambridge

 Time series models are used to characterise uncertainty in many real-world dynamical phenomena. A time series model typically contains a static variable, called parameter, which… (more)

Subjects/Keywords: Sequential Monte Carlo; Parameter estimation; Bayesian statistics

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APA (6th Edition):

Yildirim, S. (2013). Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg

Chicago Manual of Style (16th Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.” 2013. Doctoral Dissertation, University of Cambridge. Accessed September 20, 2020. http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg.

MLA Handbook (7th Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.” 2013. Web. 20 Sep 2020.

Vancouver:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. [Internet] [Doctoral dissertation]. University of Cambridge; 2013. [cited 2020 Sep 20]. Available from: http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg.

Council of Science Editors:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. [Doctoral Dissertation]. University of Cambridge; 2013. Available from: http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg


University of Wolverhampton

6. Yan, Jiajia. Statistical analysis on diffusion tensor estimation.

Degree: PhD, 2017, University of Wolverhampton

 Diffusion tensor imaging (DTI) is a relatively new technology of magnetic resonance imaging, which enables us to observe the insight structure of the human body… (more)

Subjects/Keywords: DTI; tensor estimation; robust; Bayesian; non-Euclidean

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APA (6th Edition):

Yan, J. (2017). Statistical analysis on diffusion tensor estimation. (Doctoral Dissertation). University of Wolverhampton. Retrieved from http://hdl.handle.net/2436/621860

Chicago Manual of Style (16th Edition):

Yan, Jiajia. “Statistical analysis on diffusion tensor estimation.” 2017. Doctoral Dissertation, University of Wolverhampton. Accessed September 20, 2020. http://hdl.handle.net/2436/621860.

MLA Handbook (7th Edition):

Yan, Jiajia. “Statistical analysis on diffusion tensor estimation.” 2017. Web. 20 Sep 2020.

Vancouver:

Yan J. Statistical analysis on diffusion tensor estimation. [Internet] [Doctoral dissertation]. University of Wolverhampton; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2436/621860.

Council of Science Editors:

Yan J. Statistical analysis on diffusion tensor estimation. [Doctoral Dissertation]. University of Wolverhampton; 2017. Available from: http://hdl.handle.net/2436/621860


University of Texas – Austin

7. Wright, April Marie. Estimating phylogenetic trees from discrete morphological data.

Degree: PhD, Ecology, Evolution and Behavior, 2015, University of Texas – Austin

 Morphological characters have a long history of use in the estimation of phylogenetic trees. Datasets consisting of morphological characters are most often analyzed using the… (more)

Subjects/Keywords: Phylogeny; Bayesian estimation; Paleontology; Morphology; Phylogenetic trees

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APA (6th Edition):

Wright, A. M. (2015). Estimating phylogenetic trees from discrete morphological data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30934

Chicago Manual of Style (16th Edition):

Wright, April Marie. “Estimating phylogenetic trees from discrete morphological data.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/30934.

MLA Handbook (7th Edition):

Wright, April Marie. “Estimating phylogenetic trees from discrete morphological data.” 2015. Web. 20 Sep 2020.

Vancouver:

Wright AM. Estimating phylogenetic trees from discrete morphological data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/30934.

Council of Science Editors:

Wright AM. Estimating phylogenetic trees from discrete morphological data. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30934


Tampere University

8. Lu, Chien. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .

Degree: 2018, Tampere University

 Entropy estimation is an important technique to summarize the uncertainty of a distribution underlying a set of samples. It ties to important research problems in… (more)

Subjects/Keywords: entropy estimation; nonparametric estimator; Bayesian inference

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APA (6th Edition):

Lu, C. (2018). An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/104066

Chicago Manual of Style (16th Edition):

Lu, Chien. “An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .” 2018. Masters Thesis, Tampere University. Accessed September 20, 2020. https://trepo.tuni.fi/handle/10024/104066.

MLA Handbook (7th Edition):

Lu, Chien. “An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .” 2018. Web. 20 Sep 2020.

Vancouver:

Lu C. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . [Internet] [Masters thesis]. Tampere University; 2018. [cited 2020 Sep 20]. Available from: https://trepo.tuni.fi/handle/10024/104066.

Council of Science Editors:

Lu C. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/104066


Baylor University

9. Falley, Brandi. Bayesian approaches for design of psychometric studies with underreporting and misclassification.

Degree: PhD, Statistical Sciences., 2013, Baylor University

 Measurement error problems in binary regression are of considerable interest among researchers, especially in epidemiological studies. Misclassification can be considered a special case of measurement… (more)

Subjects/Keywords: Misclassification.; Underreporting.; Bayesian estimation.; Psychometric studies.

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APA (6th Edition):

Falley, B. (2013). Bayesian approaches for design of psychometric studies with underreporting and misclassification. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/8571

Chicago Manual of Style (16th Edition):

Falley, Brandi. “Bayesian approaches for design of psychometric studies with underreporting and misclassification.” 2013. Doctoral Dissertation, Baylor University. Accessed September 20, 2020. http://hdl.handle.net/2104/8571.

MLA Handbook (7th Edition):

Falley, Brandi. “Bayesian approaches for design of psychometric studies with underreporting and misclassification.” 2013. Web. 20 Sep 2020.

Vancouver:

Falley B. Bayesian approaches for design of psychometric studies with underreporting and misclassification. [Internet] [Doctoral dissertation]. Baylor University; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2104/8571.

Council of Science Editors:

Falley B. Bayesian approaches for design of psychometric studies with underreporting and misclassification. [Doctoral Dissertation]. Baylor University; 2013. Available from: http://hdl.handle.net/2104/8571


Colorado School of Mines

10. Engler, Davis. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.

Degree: MS(M.S.), Applied Mathematics and Statistics, 2019, Colorado School of Mines

 Following an earthquake it is crucial to estimate the true scope of impact in terms of fatalities and damage as quickly as possible for efficient… (more)

Subjects/Keywords: Earthquake fatality estimation; Bayesian updating; Kalman filtering

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APA (6th Edition):

Engler, D. (2019). Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173071

Chicago Manual of Style (16th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Masters Thesis, Colorado School of Mines. Accessed September 20, 2020. http://hdl.handle.net/11124/173071.

MLA Handbook (7th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Web. 20 Sep 2020.

Vancouver:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11124/173071.

Council of Science Editors:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173071


Duke University

11. PETRALIA, FRANCESCA. Structured Bayesian learning through mixture models .

Degree: 2013, Duke University

  In this thesis, we develop some Bayesian mixture density estimation for univariate and multivariate data. We start proposing a repulsive process favoring mixture components… (more)

Subjects/Keywords: Statistics; Bayesian density estimation; Bayesian Nonparametric; Mixture Models

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APA (6th Edition):

PETRALIA, F. (2013). Structured Bayesian learning through mixture models . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/8065

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):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Thesis, Duke University. Accessed September 20, 2020. http://hdl.handle.net/10161/8065.

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

MLA Handbook (7th Edition):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Web. 20 Sep 2020.

Vancouver:

PETRALIA F. Structured Bayesian learning through mixture models . [Internet] [Thesis]. Duke University; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10161/8065.

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

Council of Science Editors:

PETRALIA F. Structured Bayesian learning through mixture models . [Thesis]. Duke University; 2013. Available from: http://hdl.handle.net/10161/8065

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


University of Oulu

12. Nissilä, M. (Mauri). Iterative receivers for digital communications via variational inference and estimation.

Degree: 2008, University of Oulu

 Abstract In this thesis, iterative detection and estimation algorithms for digital communications systems in the presence of parametric uncertainty are explored and further developed. In… (more)

Subjects/Keywords: Bayesian inference and estimation; EM algorithm; frequency offset estimation; turbo receivers

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APA (6th Edition):

Nissilä, M. (. (2008). Iterative receivers for digital communications via variational inference and estimation. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514286865

Chicago Manual of Style (16th Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Doctoral Dissertation, University of Oulu. Accessed September 20, 2020. http://urn.fi/urn:isbn:9789514286865.

MLA Handbook (7th Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Web. 20 Sep 2020.

Vancouver:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Internet] [Doctoral dissertation]. University of Oulu; 2008. [cited 2020 Sep 20]. Available from: http://urn.fi/urn:isbn:9789514286865.

Council of Science Editors:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Doctoral Dissertation]. University of Oulu; 2008. Available from: http://urn.fi/urn:isbn:9789514286865


University of Georgia

13. Kim, Insuk. A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model.

Degree: 2014, University of Georgia

 Multilevel Item Response Theory (IRT) models provide an analytic approach that formally incorporates the hierarchical structure characteristic of much educational and psychological data. In this… (more)

Subjects/Keywords: Multilevel Item Response Theory; Maximum Likelihood Estimation; Bayesian Estimation

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APA (6th Edition):

Kim, I. (2014). A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23891

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):

Kim, Insuk. “A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model.” 2014. Thesis, University of Georgia. Accessed September 20, 2020. http://hdl.handle.net/10724/23891.

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

MLA Handbook (7th Edition):

Kim, Insuk. “A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model.” 2014. Web. 20 Sep 2020.

Vancouver:

Kim I. A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10724/23891.

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

Council of Science Editors:

Kim I. A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23891

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


Texas A&M University

14. Weisman, Ryan Michael 1984-. Nonlinear Transformations and Filtering Theory for Space Operations.

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

 Decisions for asset allocation and protection are predicated upon accurate knowledge of the current operating environment as well as correctly characterizing the evolution of the… (more)

Subjects/Keywords: filter initialization; uncertainty estimation; bayesian filtering; nonlinear estimation; space surveillance

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APA (6th Edition):

Weisman, R. M. 1. (2012). Nonlinear Transformations and Filtering Theory for Space Operations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148211

Chicago Manual of Style (16th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/148211.

MLA Handbook (7th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 20 Sep 2020.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/148211.

Council of Science Editors:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148211

15. Marques Filho, Paulo Cilas. Análise bayesiana de densidades aleatórias simples.

Degree: PhD, Estatística, 2011, University of São Paulo

Definimos, a partir de uma partição de um intervalo limitado da reta real formada por subintervalos, uma distribuição a priori sobre uma classe de densidades… (more)

Subjects/Keywords: Bayesian density estimation; Bayesian nonparametrics; Estimação bayesiana de densidade; Inferência bayesiana não paramétrica

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APA (6th Edition):

Marques Filho, P. C. (2011). Análise bayesiana de densidades aleatórias simples. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;

Chicago Manual of Style (16th Edition):

Marques Filho, Paulo Cilas. “Análise bayesiana de densidades aleatórias simples.” 2011. Doctoral Dissertation, University of São Paulo. Accessed September 20, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;.

MLA Handbook (7th Edition):

Marques Filho, Paulo Cilas. “Análise bayesiana de densidades aleatórias simples.” 2011. Web. 20 Sep 2020.

Vancouver:

Marques Filho PC. Análise bayesiana de densidades aleatórias simples. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2020 Sep 20]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;.

Council of Science Editors:

Marques Filho PC. Análise bayesiana de densidades aleatórias simples. [Doctoral Dissertation]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;


University of Edinburgh

16. Huang, Yuanhua. Structured Bayesian methods for splicing analysis in RNA-seq data.

Degree: PhD, 2018, University of Edinburgh

 In most eukaryotes, alternative splicing is an important regulatory mechanism of gene expression that results in a single gene coding for multiple protein isoforms, thus… (more)

Subjects/Keywords: alternative splicing; Bayesian methods; DICEseq; isoform quantification; Bayesian Regression for Isoform Estimation; scRNA-seq

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APA (6th Edition):

Huang, Y. (2018). Structured Bayesian methods for splicing analysis in RNA-seq data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31328

Chicago Manual of Style (16th Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/31328.

MLA Handbook (7th Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Web. 20 Sep 2020.

Vancouver:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/31328.

Council of Science Editors:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31328


Delft University of Technology

17. Zilko, A.A. (author). Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise.

Degree: 2012, Delft University of Technology

Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties… (more)

Subjects/Keywords: Ensemble Kalman Filter; Non-Parametric Bayesian Networks; Parameter Estimation; Reservoir Engineering; Reservoir Simulation; Bayesian Networks

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

APA (6th Edition):

Zilko, A. A. (. (2012). Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

Chicago Manual of Style (16th Edition):

Zilko, A A (author). “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise.” 2012. Masters Thesis, Delft University of Technology. Accessed September 20, 2020. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7th Edition):

Zilko, A A (author). “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise.” 2012. Web. 20 Sep 2020.

Vancouver:

Zilko AA(. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2020 Sep 20]. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

Council of Science Editors:

Zilko AA(. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

18. Roysdon, Paul F. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.

Degree: Electrical Engineering, 2017, University of California – Riverside

 Many highway vehicle applications require reliable, high precision navigation (errorless than meter level) while using low-cost consumer-grade inertial and global navigationsatellite systems (GNSS). The application… (more)

Subjects/Keywords: Robotics; Applied mathematics; Engineering; Bayesian Estimation; EKF; GPS-INS; Optimal Estimation; Outlier Detection; SLAM

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APA (6th Edition):

Roysdon, P. F. (2017). Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/70x799kr

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):

Roysdon, Paul F. “Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.” 2017. Thesis, University of California – Riverside. Accessed September 20, 2020. http://www.escholarship.org/uc/item/70x799kr.

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

MLA Handbook (7th Edition):

Roysdon, Paul F. “Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.” 2017. Web. 20 Sep 2020.

Vancouver:

Roysdon PF. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. [Internet] [Thesis]. University of California – Riverside; 2017. [cited 2020 Sep 20]. Available from: http://www.escholarship.org/uc/item/70x799kr.

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

Council of Science Editors:

Roysdon PF. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. [Thesis]. University of California – Riverside; 2017. Available from: http://www.escholarship.org/uc/item/70x799kr

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


Virginia Tech

19. Takami, Kuya. Non-Field-of-View Acoustic Target Estimation.

Degree: PhD, Mechanical Engineering, 2015, Virginia Tech

 This dissertation proposes a new framework to Non-Field-of-view (NFOV) sound source localization and tracking in indoor environments. The approach takes advantage of sound signal information… (more)

Subjects/Keywords: acoustic target estimation; non-line-of-sight localization; recursive Bayesian estimation; sensor fusion

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

APA (6th Edition):

Takami, K. (2015). Non-Field-of-View Acoustic Target Estimation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56892

Chicago Manual of Style (16th Edition):

Takami, Kuya. “Non-Field-of-View Acoustic Target Estimation.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 20, 2020. http://hdl.handle.net/10919/56892.

MLA Handbook (7th Edition):

Takami, Kuya. “Non-Field-of-View Acoustic Target Estimation.” 2015. Web. 20 Sep 2020.

Vancouver:

Takami K. Non-Field-of-View Acoustic Target Estimation. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10919/56892.

Council of Science Editors:

Takami K. Non-Field-of-View Acoustic Target Estimation. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56892


INP Toulouse

20. Albughdadi, Mohanad. Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles.

Degree: Docteur es, Signal, Image, Acoustique et Optimisation, 2016, INP Toulouse

 La parcellisation du cerveau en un certain nombre de régions hémodynamiques homogènes est toujours un défi majeur en analyse des données d’imagerie par résonance magnétique… (more)

Subjects/Keywords: IRMf; Bayésien; Variationnel; Détection; Estimation; Parcellation; FMRI; Bayesian; Variational; Detection; Estimation; Parcellation

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APA (6th Edition):

Albughdadi, M. (2016). Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2016INPT0063

Chicago Manual of Style (16th Edition):

Albughdadi, Mohanad. “Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles.” 2016. Doctoral Dissertation, INP Toulouse. Accessed September 20, 2020. http://www.theses.fr/2016INPT0063.

MLA Handbook (7th Edition):

Albughdadi, Mohanad. “Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles.” 2016. Web. 20 Sep 2020.

Vancouver:

Albughdadi M. Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles. [Internet] [Doctoral dissertation]. INP Toulouse; 2016. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2016INPT0063.

Council of Science Editors:

Albughdadi M. Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles. [Doctoral Dissertation]. INP Toulouse; 2016. Available from: http://www.theses.fr/2016INPT0063

21. Ruggiero, Giovanni Abdelnur. Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models.

Degree: Docteur es, Sciences de la planète et de l'univers, 2014, Nice

Cette thèse a développé et mis en œuvre des algorithmes itératifs d'assimilation de données pour un modèle d'océan aux équations primitives, et les a comparés… (more)

Subjects/Keywords: Assimilation de données; Estimation bayesienne; Data assimilation; Nudging; Back and forth nudging; Bayesian estimation

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

APA (6th Edition):

Ruggiero, G. A. (2014). Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2014NICE4011

Chicago Manual of Style (16th Edition):

Ruggiero, Giovanni Abdelnur. “Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models.” 2014. Doctoral Dissertation, Nice. Accessed September 20, 2020. http://www.theses.fr/2014NICE4011.

MLA Handbook (7th Edition):

Ruggiero, Giovanni Abdelnur. “Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models.” 2014. Web. 20 Sep 2020.

Vancouver:

Ruggiero GA. Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models. [Internet] [Doctoral dissertation]. Nice; 2014. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2014NICE4011.

Council of Science Editors:

Ruggiero GA. Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models. [Doctoral Dissertation]. Nice; 2014. Available from: http://www.theses.fr/2014NICE4011


Delft University of Technology

22. Chitchian, M.M. (author). Adapting Particle Filter Algorithms to the GPU Architecture.

Degree: 2011, Delft University of Technology

The particle filter is a Bayesian estimation technique based on Monte Carlo simulations. The non-parametric nature of particle filters makes them ideal for non-linear non-Gaussian… (more)

Subjects/Keywords: particle filter; bayesian estimation; CUDA; GPGPU; GPU; bayes filter; non-linear estimation; distributed particle filter; real-time estimation; parallel particle filter

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

APA (6th Edition):

Chitchian, M. M. (. (2011). Adapting Particle Filter Algorithms to the GPU Architecture. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

Chicago Manual of Style (16th Edition):

Chitchian, M M (author). “Adapting Particle Filter Algorithms to the GPU Architecture.” 2011. Masters Thesis, Delft University of Technology. Accessed September 20, 2020. http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

MLA Handbook (7th Edition):

Chitchian, M M (author). “Adapting Particle Filter Algorithms to the GPU Architecture.” 2011. Web. 20 Sep 2020.

Vancouver:

Chitchian MM(. Adapting Particle Filter Algorithms to the GPU Architecture. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Sep 20]. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

Council of Science Editors:

Chitchian MM(. Adapting Particle Filter Algorithms to the GPU Architecture. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f


University of Georgia

23. Pacifici, Jamian Krishna. Conservation and management of rare species.

Degree: 2014, University of Georgia

 Conservation and management of rare species is one of the most challenging tasks confronting natural resource managers. Species are classified as rare for several reasons:… (more)

Subjects/Keywords: Adaptive sampling; Bayesian hierarchical modeling; Design-based estimation; Detection probability; Ivory-billed woodpecker; Model-based estimation; Occupancy estimation; Rare species

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APA (6th Edition):

Pacifici, J. K. (2014). Conservation and management of rare species. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/27555

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):

Pacifici, Jamian Krishna. “Conservation and management of rare species.” 2014. Thesis, University of Georgia. Accessed September 20, 2020. http://hdl.handle.net/10724/27555.

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

MLA Handbook (7th Edition):

Pacifici, Jamian Krishna. “Conservation and management of rare species.” 2014. Web. 20 Sep 2020.

Vancouver:

Pacifici JK. Conservation and management of rare species. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10724/27555.

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

Council of Science Editors:

Pacifici JK. Conservation and management of rare species. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/27555

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


The Ohio State University

24. White, Staci A. Quantifying Model Error in Bayesian Parameter Estimation.

Degree: PhD, Statistics, 2015, The Ohio State University

 As technological power increases, statistical models are becoming increasing complex. In a Bayesian analysis, performing parametric inference typically requires exploring the posterior distribution using Markov… (more)

Subjects/Keywords: Statistics; Model Error; Bayesian Estimation; Hierarchical Model; Approximation; Kullback-Leibler; divergence

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

APA (6th Edition):

White, S. A. (2015). Quantifying Model Error in Bayesian Parameter Estimation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

Chicago Manual of Style (16th Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 20, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

MLA Handbook (7th Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Web. 20 Sep 2020.

Vancouver:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Sep 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

Council of Science Editors:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825


Carnegie Mellon University

25. Gu, Yiming. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.

Degree: 2017, Carnegie Mellon University

 Traffic state estimation (TSE) aims to estimate the time-varying traffic characteristics (such as flow rate, flow speed, flow density, and occurrence of incidents) of all… (more)

Subjects/Keywords: Bayesian; Big Data; Hadoop; Intelligent Transportation System; Traffic State Estimation; Transportation

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

APA (6th Edition):

Gu, Y. (2017). Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/800

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):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Thesis, Carnegie Mellon University. Accessed September 20, 2020. http://repository.cmu.edu/dissertations/800.

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

MLA Handbook (7th Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Web. 20 Sep 2020.

Vancouver:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Sep 20]. Available from: http://repository.cmu.edu/dissertations/800.

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

Council of Science Editors:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/800

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


University of Alberta

26. Shao, Xinguang. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.

Degree: PhD, Department of Chemical and Materials Engineering, 2012, University of Alberta

 For chemical engineering processes, state estimation plays a key role in various applications such as process monitoring, fault detection, process optimization and model based control.… (more)

Subjects/Keywords: Bayesian State Estimation; Particle Filter; Oil Sands Extraction; Soft Sensor

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

APA (6th Edition):

Shao, X. (2012). Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/707957685

Chicago Manual of Style (16th Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Doctoral Dissertation, University of Alberta. Accessed September 20, 2020. https://era.library.ualberta.ca/files/707957685.

MLA Handbook (7th Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Web. 20 Sep 2020.

Vancouver:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2020 Sep 20]. Available from: https://era.library.ualberta.ca/files/707957685.

Council of Science Editors:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/707957685


Cornell University

27. Veilleux, Andrea. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics.

Degree: PhD, Civil and Environmental Engineering, 2011, Cornell University

 The research presented in this dissertation develops new statistical techniques for estimating regional relationships of hydrologic statistics. These techniques include extensions of the quasi-analytic Bayesian(more)

Subjects/Keywords: Bayesian GLS Regression; Leverage and Influence; Regional Skewness Estimation

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

APA (6th Edition):

Veilleux, A. (2011). Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/30607

Chicago Manual of Style (16th Edition):

Veilleux, Andrea. “Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics.” 2011. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/30607.

MLA Handbook (7th Edition):

Veilleux, Andrea. “Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics.” 2011. Web. 20 Sep 2020.

Vancouver:

Veilleux A. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/30607.

Council of Science Editors:

Veilleux A. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30607


Cornell University

28. Shafquat, Afrah. Improving GWAS phenotypes through Bayesian and machine learning approaches.

Degree: PhD, Computational Biology, 2020, Cornell University

 Large-scale genome-wide association studies (GWAS) have enabled detection of numerous candidate genetic loci that may impact human diseases, expanded our knowledge about the underlying biological… (more)

Subjects/Keywords: Bayesian; disease risk estimation; GWAS; MCMC; misclassification; phenotypes

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

APA (6th Edition):

Shafquat, A. (2020). Improving GWAS phenotypes through Bayesian and machine learning approaches. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70464

Chicago Manual of Style (16th Edition):

Shafquat, Afrah. “Improving GWAS phenotypes through Bayesian and machine learning approaches.” 2020. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/70464.

MLA Handbook (7th Edition):

Shafquat, Afrah. “Improving GWAS phenotypes through Bayesian and machine learning approaches.” 2020. Web. 20 Sep 2020.

Vancouver:

Shafquat A. Improving GWAS phenotypes through Bayesian and machine learning approaches. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/70464.

Council of Science Editors:

Shafquat A. Improving GWAS phenotypes through Bayesian and machine learning approaches. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70464


Texas A&M University

29. Katiyar, Ashish. Determination of Cancer Tissue Heterogeneity.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its… (more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

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APA (6th Edition):

Katiyar, A. (2017). Determination of Cancer Tissue Heterogeneity. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161403

Chicago Manual of Style (16th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Masters Thesis, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/161403.

MLA Handbook (7th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 20 Sep 2020.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/161403.

Council of Science Editors:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161403


Penn State University

30. Wu, Yingxian. Essays on consumers' purchase behavior for fresh fruits and vegetables.

Degree: 2016, Penn State University

 This study examines consumers’ purchase behavior for fresh fruits and vegetables (f&v) using the Nielsen Homescan data for a major metropolitan area. It contains two… (more)

Subjects/Keywords: consumer purchase behavior; fruits and vegetables; store choice; Bayesian estimation

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APA (6th Edition):

Wu, Y. (2016). Essays on consumers' purchase behavior for fresh fruits and vegetables. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13092yxw159

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):

Wu, Yingxian. “Essays on consumers' purchase behavior for fresh fruits and vegetables.” 2016. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/13092yxw159.

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

MLA Handbook (7th Edition):

Wu, Yingxian. “Essays on consumers' purchase behavior for fresh fruits and vegetables.” 2016. Web. 20 Sep 2020.

Vancouver:

Wu Y. Essays on consumers' purchase behavior for fresh fruits and vegetables. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/13092yxw159.

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

Council of Science Editors:

Wu Y. Essays on consumers' purchase behavior for fresh fruits and vegetables. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13092yxw159

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

[1] [2] [3] [4] [5] … [16]

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