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You searched for subject:( Bayesian statistical decision theory). Showing records 1 – 30 of 80910 total matches.

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Rutgers University

1. Robbins, Talia, 1991-. Memory and prediction in a changing environment.

Degree: MS, Psychology, 2016, Rutgers University

 This study aims to understand the effect of changes in the environment on memory and prediction. Previous work has suggested that when recalling events from… (more)

Subjects/Keywords: Memory; Decision making; Bayesian statistical decision theory

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APA (6th Edition):

Robbins, Talia, 1. (2016). Memory and prediction in a changing environment. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49323/

Chicago Manual of Style (16th Edition):

Robbins, Talia, 1991-. “Memory and prediction in a changing environment.” 2016. Masters Thesis, Rutgers University. Accessed September 15, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/49323/.

MLA Handbook (7th Edition):

Robbins, Talia, 1991-. “Memory and prediction in a changing environment.” 2016. Web. 15 Sep 2019.

Vancouver:

Robbins, Talia 1. Memory and prediction in a changing environment. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2019 Sep 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49323/.

Council of Science Editors:

Robbins, Talia 1. Memory and prediction in a changing environment. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49323/


University of North Carolina – Greensboro

2. Ames, Allison Jennifer. Bayesian model criticism: prior sensitivity of the posterior predictive checks method.

Degree: 2015, University of North Carolina – Greensboro

 Use of noninformative priors with the Posterior Predictive Checks (PPC) method requires more attention. Previous research of the PPC has treated noninformative priors as always… (more)

Subjects/Keywords: Item response theory; Bayesian statistical decision theory

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APA (6th Edition):

Ames, A. J. (2015). Bayesian model criticism: prior sensitivity of the posterior predictive checks method. (Doctoral Dissertation). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18056

Chicago Manual of Style (16th Edition):

Ames, Allison Jennifer. “Bayesian model criticism: prior sensitivity of the posterior predictive checks method.” 2015. Doctoral Dissertation, University of North Carolina – Greensboro. Accessed September 15, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18056.

MLA Handbook (7th Edition):

Ames, Allison Jennifer. “Bayesian model criticism: prior sensitivity of the posterior predictive checks method.” 2015. Web. 15 Sep 2019.

Vancouver:

Ames AJ. Bayesian model criticism: prior sensitivity of the posterior predictive checks method. [Internet] [Doctoral dissertation]. University of North Carolina – Greensboro; 2015. [cited 2019 Sep 15]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18056.

Council of Science Editors:

Ames AJ. Bayesian model criticism: prior sensitivity of the posterior predictive checks method. [Doctoral Dissertation]. University of North Carolina – Greensboro; 2015. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18056


Nelson Mandela Metropolitan University

3. Sarpong, Abeam Danso. Tolerance intervals for variance component models using a Bayesian simulation procedure.

Degree: Faculty of Science, 2013, Nelson Mandela Metropolitan University

 The estimation of variance components serves as an integral part of the evaluation of variation, and is of interest and required in a variety of… (more)

Subjects/Keywords: Bayesian statistical decision theory; Multilevel models (Statistics)

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APA (6th Edition):

Sarpong, A. D. (2013). Tolerance intervals for variance component models using a Bayesian simulation procedure. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/d1021025

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):

Sarpong, Abeam Danso. “Tolerance intervals for variance component models using a Bayesian simulation procedure.” 2013. Thesis, Nelson Mandela Metropolitan University. Accessed September 15, 2019. http://hdl.handle.net/10948/d1021025.

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

MLA Handbook (7th Edition):

Sarpong, Abeam Danso. “Tolerance intervals for variance component models using a Bayesian simulation procedure.” 2013. Web. 15 Sep 2019.

Vancouver:

Sarpong AD. Tolerance intervals for variance component models using a Bayesian simulation procedure. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2013. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10948/d1021025.

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

Council of Science Editors:

Sarpong AD. Tolerance intervals for variance component models using a Bayesian simulation procedure. [Thesis]. Nelson Mandela Metropolitan University; 2013. Available from: http://hdl.handle.net/10948/d1021025

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


Hong Kong University of Science and Technology

4. Chan, Yun Kwan. Link prediction via ranking with a multiple membership nonparametric Bayesian model.

Degree: 2012, Hong Kong University of Science and Technology

 Link prediction in complex networks has found applications in a wide range of real-world domains involving relational data. The goal is to predict some hidden… (more)

Subjects/Keywords: Bayesian statistical decision theory; Uncertainty  – Mathematical models

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APA (6th Edition):

Chan, Y. K. (2012). Link prediction via ranking with a multiple membership nonparametric Bayesian model. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1198293 ; http://repository.ust.hk/ir/bitstream/1783.1-7759/1/th_redirect.html

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):

Chan, Yun Kwan. “Link prediction via ranking with a multiple membership nonparametric Bayesian model.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed September 15, 2019. https://doi.org/10.14711/thesis-b1198293 ; http://repository.ust.hk/ir/bitstream/1783.1-7759/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Chan, Yun Kwan. “Link prediction via ranking with a multiple membership nonparametric Bayesian model.” 2012. Web. 15 Sep 2019.

Vancouver:

Chan YK. Link prediction via ranking with a multiple membership nonparametric Bayesian model. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Sep 15]. Available from: https://doi.org/10.14711/thesis-b1198293 ; http://repository.ust.hk/ir/bitstream/1783.1-7759/1/th_redirect.html.

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

Council of Science Editors:

Chan YK. Link prediction via ranking with a multiple membership nonparametric Bayesian model. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1198293 ; http://repository.ust.hk/ir/bitstream/1783.1-7759/1/th_redirect.html

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


University of Hong Kong

5. 辜有明.; Koh, You Beng. Bayesian analysis in Markov regime-switching models.

Degree: PhD, 2012, University of Hong Kong

van Norden and Schaller (1996) develop a standard regime-switching model to study stock market crashes. In their seminal paper, they use the maximum likelihood estimation… (more)

Subjects/Keywords: Markov processes.; Bayesian statistical decision theory.

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APA (6th Edition):

辜有明.; Koh, Y. B. (2012). Bayesian analysis in Markov regime-switching models. (Doctoral Dissertation). University of Hong Kong. Retrieved from Koh, Y. B. [辜有明]. (2012). Bayesian analysis in Markov regime-switching models. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852164 ; http://dx.doi.org/10.5353/th_b4852164 ; http://hdl.handle.net/10722/179973

Chicago Manual of Style (16th Edition):

辜有明.; Koh, You Beng. “Bayesian analysis in Markov regime-switching models.” 2012. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. Koh, Y. B. [辜有明]. (2012). Bayesian analysis in Markov regime-switching models. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852164 ; http://dx.doi.org/10.5353/th_b4852164 ; http://hdl.handle.net/10722/179973.

MLA Handbook (7th Edition):

辜有明.; Koh, You Beng. “Bayesian analysis in Markov regime-switching models.” 2012. Web. 15 Sep 2019.

Vancouver:

辜有明.; Koh YB. Bayesian analysis in Markov regime-switching models. [Internet] [Doctoral dissertation]. University of Hong Kong; 2012. [cited 2019 Sep 15]. Available from: Koh, Y. B. [辜有明]. (2012). Bayesian analysis in Markov regime-switching models. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852164 ; http://dx.doi.org/10.5353/th_b4852164 ; http://hdl.handle.net/10722/179973.

Council of Science Editors:

辜有明.; Koh YB. Bayesian analysis in Markov regime-switching models. [Doctoral Dissertation]. University of Hong Kong; 2012. Available from: Koh, Y. B. [辜有明]. (2012). Bayesian analysis in Markov regime-switching models. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4852164 ; http://dx.doi.org/10.5353/th_b4852164 ; http://hdl.handle.net/10722/179973


Montana State University

6. Mashamba, Able. Bayesian optimization and uncertainty analysis of complex environmental models, with applications in watershed management.

Degree: College of Engineering, 2010, Montana State University

 This dissertation presents results of research in the development, testing and application of an automated calibration and uncertainty analysis framework for distributed environmental models based… (more)

Subjects/Keywords: Bayesian statistical decision theory.; Hydrologic models.

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APA (6th Edition):

Mashamba, A. (2010). Bayesian optimization and uncertainty analysis of complex environmental models, with applications in watershed management. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/1798

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):

Mashamba, Able. “Bayesian optimization and uncertainty analysis of complex environmental models, with applications in watershed management.” 2010. Thesis, Montana State University. Accessed September 15, 2019. https://scholarworks.montana.edu/xmlui/handle/1/1798.

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

MLA Handbook (7th Edition):

Mashamba, Able. “Bayesian optimization and uncertainty analysis of complex environmental models, with applications in watershed management.” 2010. Web. 15 Sep 2019.

Vancouver:

Mashamba A. Bayesian optimization and uncertainty analysis of complex environmental models, with applications in watershed management. [Internet] [Thesis]. Montana State University; 2010. [cited 2019 Sep 15]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/1798.

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

Council of Science Editors:

Mashamba A. Bayesian optimization and uncertainty analysis of complex environmental models, with applications in watershed management. [Thesis]. Montana State University; 2010. Available from: https://scholarworks.montana.edu/xmlui/handle/1/1798

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


University of Iceland

7. Snæbjörn Helgi Emilsson 1984. Bayesískt stigskipt líkan fyrir daglegan meðalhita.

Degree: 2012, University of Iceland

 In this thesis, a Bayesian hierarchical model for daily average temperature is presented. A multivariate normal distribution is selected as the data distribution due to… (more)

Subjects/Keywords: Iðnaðarverkfræði; Líkanagerð; Hitastig; Bayesian statistical decision theory

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APA (6th Edition):

1984, S. H. E. (2012). Bayesískt stigskipt líkan fyrir daglegan meðalhita. (Thesis). University of Iceland. Retrieved from http://hdl.handle.net/1946/12062

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):

1984, Snæbjörn Helgi Emilsson. “Bayesískt stigskipt líkan fyrir daglegan meðalhita.” 2012. Thesis, University of Iceland. Accessed September 15, 2019. http://hdl.handle.net/1946/12062.

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

MLA Handbook (7th Edition):

1984, Snæbjörn Helgi Emilsson. “Bayesískt stigskipt líkan fyrir daglegan meðalhita.” 2012. Web. 15 Sep 2019.

Vancouver:

1984 SHE. Bayesískt stigskipt líkan fyrir daglegan meðalhita. [Internet] [Thesis]. University of Iceland; 2012. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1946/12062.

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

Council of Science Editors:

1984 SHE. Bayesískt stigskipt líkan fyrir daglegan meðalhita. [Thesis]. University of Iceland; 2012. Available from: http://hdl.handle.net/1946/12062

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


University of Iceland

8. Loftur Hreinsson 1988. Bayes aðferðir í hagrannsóknum og ákvörðunartöku.

Degree: 2014, University of Iceland

 Bayes aðferðafræðin nálgast líkindahugtakið með öðrum hætti en algengt er. Í þessari ritgerð athuga ég hvernig þær aðferðir virka í hagrannsóknum og við ákvörðunartöku. Þar… (more)

Subjects/Keywords: Hagfræði; Spálíkön; Aðferðafræði; Bayesian statistical decision theory

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APA (6th Edition):

1988, L. H. (2014). Bayes aðferðir í hagrannsóknum og ákvörðunartöku. (Thesis). University of Iceland. Retrieved from http://hdl.handle.net/1946/18239

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):

1988, Loftur Hreinsson. “Bayes aðferðir í hagrannsóknum og ákvörðunartöku.” 2014. Thesis, University of Iceland. Accessed September 15, 2019. http://hdl.handle.net/1946/18239.

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

MLA Handbook (7th Edition):

1988, Loftur Hreinsson. “Bayes aðferðir í hagrannsóknum og ákvörðunartöku.” 2014. Web. 15 Sep 2019.

Vancouver:

1988 LH. Bayes aðferðir í hagrannsóknum og ákvörðunartöku. [Internet] [Thesis]. University of Iceland; 2014. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1946/18239.

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

Council of Science Editors:

1988 LH. Bayes aðferðir í hagrannsóknum og ákvörðunartöku. [Thesis]. University of Iceland; 2014. Available from: http://hdl.handle.net/1946/18239

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


Massey University

9. Fitch, Anne Marie. Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.

Degree: PhD, Statistics, 2012, Massey University

 Gaussian graphical models are a useful tool for eliciting information about relationships in data with a multivariate normal distribution. In the rst part of this… (more)

Subjects/Keywords: Graphical modeling (Statistics); Bayesian statistical decision theory

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APA (6th Edition):

Fitch, A. M. (2012). Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches. (Doctoral Dissertation). Massey University. Retrieved from http://hdl.handle.net/10179/3659

Chicago Manual of Style (16th Edition):

Fitch, Anne Marie. “Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.” 2012. Doctoral Dissertation, Massey University. Accessed September 15, 2019. http://hdl.handle.net/10179/3659.

MLA Handbook (7th Edition):

Fitch, Anne Marie. “Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches.” 2012. Web. 15 Sep 2019.

Vancouver:

Fitch AM. Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches. [Internet] [Doctoral dissertation]. Massey University; 2012. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10179/3659.

Council of Science Editors:

Fitch AM. Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches. [Doctoral Dissertation]. Massey University; 2012. Available from: http://hdl.handle.net/10179/3659


Hong Kong University of Science and Technology

10. Wang, Hao. Bayesian deep learning for integrated intelligence : bridging the gap between perception and inference.

Degree: 2017, Hong Kong University of Science and Technology

 While perception tasks such as visual object recognition and text understanding play an important role in human intelligence, the subsequent tasks that involve inference, reasoning,… (more)

Subjects/Keywords: Machine learning; Bayesian statistical decision theory

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APA (6th Edition):

Wang, H. (2017). Bayesian deep learning for integrated intelligence : bridging the gap between perception and inference. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012554564003412 ; http://repository.ust.hk/ir/bitstream/1783.1-91073/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Wang, Hao. “Bayesian deep learning for integrated intelligence : bridging the gap between perception and inference.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed September 15, 2019. https://doi.org/10.14711/thesis-991012554564003412 ; http://repository.ust.hk/ir/bitstream/1783.1-91073/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wang, Hao. “Bayesian deep learning for integrated intelligence : bridging the gap between perception and inference.” 2017. Web. 15 Sep 2019.

Vancouver:

Wang H. Bayesian deep learning for integrated intelligence : bridging the gap between perception and inference. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2019 Sep 15]. Available from: https://doi.org/10.14711/thesis-991012554564003412 ; http://repository.ust.hk/ir/bitstream/1783.1-91073/1/th_redirect.html.

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

Council of Science Editors:

Wang H. Bayesian deep learning for integrated intelligence : bridging the gap between perception and inference. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: https://doi.org/10.14711/thesis-991012554564003412 ; http://repository.ust.hk/ir/bitstream/1783.1-91073/1/th_redirect.html

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


Columbia University

11. Khattak, Faiza Khan. Toward a Robust and Universal Crowd Labeling Framework.

Degree: 2017, Columbia University

 The advent of fast and economical computers with large electronic storage has led to a large volume of data, most of which is unlabeled. While… (more)

Subjects/Keywords: Computer science; Labels; Bayesian statistical decision theory

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APA (6th Edition):

Khattak, F. K. (2017). Toward a Robust and Universal Crowd Labeling Framework. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8Q24BJ2

Chicago Manual of Style (16th Edition):

Khattak, Faiza Khan. “Toward a Robust and Universal Crowd Labeling Framework.” 2017. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D8Q24BJ2.

MLA Handbook (7th Edition):

Khattak, Faiza Khan. “Toward a Robust and Universal Crowd Labeling Framework.” 2017. Web. 15 Sep 2019.

Vancouver:

Khattak FK. Toward a Robust and Universal Crowd Labeling Framework. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D8Q24BJ2.

Council of Science Editors:

Khattak FK. Toward a Robust and Universal Crowd Labeling Framework. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8Q24BJ2


Rutgers University

12. McGinity, Curtis, 1987-. Optimal learning via dynamic risk.

Degree: PhD, Operations Research, 2017, Rutgers University

We consider the dilemma of taking sequential action within a nebulous and costly stochastic system. In such problems, the decision-maker sequentially takes an action from… (more)

Subjects/Keywords: Bayesian statistical decision theory; Machine learning

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APA (6th Edition):

McGinity, Curtis, 1. (2017). Optimal learning via dynamic risk. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/53742/

Chicago Manual of Style (16th Edition):

McGinity, Curtis, 1987-. “Optimal learning via dynamic risk.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 15, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/53742/.

MLA Handbook (7th Edition):

McGinity, Curtis, 1987-. “Optimal learning via dynamic risk.” 2017. Web. 15 Sep 2019.

Vancouver:

McGinity, Curtis 1. Optimal learning via dynamic risk. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2019 Sep 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53742/.

Council of Science Editors:

McGinity, Curtis 1. Optimal learning via dynamic risk. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53742/


Rutgers University

13. Zhang, Xi, 1984-. Essays on risk management of financial market with Bayesian estimation.

Degree: PhD, Economics, 2017, Rutgers University

This dissertation consists of three essays on modeling financial risk under Bayesian framework. The first essay compares the performances of Maximum Likelihood Estimation (MLE), Probability-Weighted… (more)

Subjects/Keywords: Risk management; Bayesian statistical decision theory

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APA (6th Edition):

Zhang, Xi, 1. (2017). Essays on risk management of financial market with Bayesian estimation. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55789/

Chicago Manual of Style (16th Edition):

Zhang, Xi, 1984-. “Essays on risk management of financial market with Bayesian estimation.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 15, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/55789/.

MLA Handbook (7th Edition):

Zhang, Xi, 1984-. “Essays on risk management of financial market with Bayesian estimation.” 2017. Web. 15 Sep 2019.

Vancouver:

Zhang, Xi 1. Essays on risk management of financial market with Bayesian estimation. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2019 Sep 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55789/.

Council of Science Editors:

Zhang, Xi 1. Essays on risk management of financial market with Bayesian estimation. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55789/


University of Ballarat

14. Barty, Simon. Statistical detection techniques to reduce confounding by association (co-medication) and confounding by indication in the Australian spontaneous reporting system.

Degree: PhD, 2005, University of Ballarat

This research is the incorporation and melding of classical and Bayesian statistical techniques into an iterative methodology aimed at reducing two major confounding issues in… (more)

Subjects/Keywords: Bayesian statistical decision theory; Statistical decision; Drugs; Australian Digital Thesis

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APA (6th Edition):

Barty, S. (2005). Statistical detection techniques to reduce confounding by association (co-medication) and confounding by indication in the Australian spontaneous reporting system. (Doctoral Dissertation). University of Ballarat. Retrieved from http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/41882 ; http://innopac.ballarat.edu.au/record=b1285471

Chicago Manual of Style (16th Edition):

Barty, Simon. “Statistical detection techniques to reduce confounding by association (co-medication) and confounding by indication in the Australian spontaneous reporting system.” 2005. Doctoral Dissertation, University of Ballarat. Accessed September 15, 2019. http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/41882 ; http://innopac.ballarat.edu.au/record=b1285471.

MLA Handbook (7th Edition):

Barty, Simon. “Statistical detection techniques to reduce confounding by association (co-medication) and confounding by indication in the Australian spontaneous reporting system.” 2005. Web. 15 Sep 2019.

Vancouver:

Barty S. Statistical detection techniques to reduce confounding by association (co-medication) and confounding by indication in the Australian spontaneous reporting system. [Internet] [Doctoral dissertation]. University of Ballarat; 2005. [cited 2019 Sep 15]. Available from: http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/41882 ; http://innopac.ballarat.edu.au/record=b1285471.

Council of Science Editors:

Barty S. Statistical detection techniques to reduce confounding by association (co-medication) and confounding by indication in the Australian spontaneous reporting system. [Doctoral Dissertation]. University of Ballarat; 2005. Available from: http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/41882 ; http://innopac.ballarat.edu.au/record=b1285471


University of Hong Kong

15. Lin, Ruitao. Bayesian adaptive methods for phase I clinical trials.

Degree: PhD, 2016, University of Hong Kong

 The primary objective of phase I dose-finding trials is to determine the maximum tolerated dose (MTD), which is typically defined as the dose with the… (more)

Subjects/Keywords: Clinical trials - Statistical methods; Bayesian statistical decision theory

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APA (6th Edition):

Lin, R. (2016). Bayesian adaptive methods for phase I clinical trials. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/235935

Chicago Manual of Style (16th Edition):

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed September 15, 2019. http://hdl.handle.net/10722/235935.

MLA Handbook (7th Edition):

Lin, Ruitao. “Bayesian adaptive methods for phase I clinical trials.” 2016. Web. 15 Sep 2019.

Vancouver:

Lin R. Bayesian adaptive methods for phase I clinical trials. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10722/235935.

Council of Science Editors:

Lin R. Bayesian adaptive methods for phase I clinical trials. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/235935


Columbia University

16. Cheng, Edward K. Selected Legal Applications for Bayesian Methods.

Degree: 2018, Columbia University

 This dissertation offers three contexts in which Bayesian methods can address tricky problems in the legal system. Chapter 1 offers a method for attacking case… (more)

Subjects/Keywords: Statistics; Law; Bayesian statistical decision theory; Law – Statistical methods

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APA (6th Edition):

Cheng, E. K. (2018). Selected Legal Applications for Bayesian Methods. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8H71Z8N

Chicago Manual of Style (16th Edition):

Cheng, Edward K. “Selected Legal Applications for Bayesian Methods.” 2018. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D8H71Z8N.

MLA Handbook (7th Edition):

Cheng, Edward K. “Selected Legal Applications for Bayesian Methods.” 2018. Web. 15 Sep 2019.

Vancouver:

Cheng EK. Selected Legal Applications for Bayesian Methods. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D8H71Z8N.

Council of Science Editors:

Cheng EK. Selected Legal Applications for Bayesian Methods. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8H71Z8N


Portland State University

17. Borthwick, Geoffrey Ludlow. Confirmation Bias and Related Errors.

Degree: PhD, Systems Science, 2010, Portland State University

  This study attempted to replicate and extend the study of Doherty, Mynatt, Tweney, and Schiavo (1979), which introduced what is here called the Bayesian(more)

Subjects/Keywords: Cognitive psychology; Bayesian statistical decision theory; Decision making  – Psychological aspects

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APA (6th Edition):

Borthwick, G. L. (2010). Confirmation Bias and Related Errors. (Doctoral Dissertation). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/128

Chicago Manual of Style (16th Edition):

Borthwick, Geoffrey Ludlow. “Confirmation Bias and Related Errors.” 2010. Doctoral Dissertation, Portland State University. Accessed September 15, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/128.

MLA Handbook (7th Edition):

Borthwick, Geoffrey Ludlow. “Confirmation Bias and Related Errors.” 2010. Web. 15 Sep 2019.

Vancouver:

Borthwick GL. Confirmation Bias and Related Errors. [Internet] [Doctoral dissertation]. Portland State University; 2010. [cited 2019 Sep 15]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/128.

Council of Science Editors:

Borthwick GL. Confirmation Bias and Related Errors. [Doctoral Dissertation]. Portland State University; 2010. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/128


University of Alberta

18. Qi, Fei. Bayesian approach for control loop diagnosis.

Degree: PhD, Department of Chemical and Materials Engineering, 2011, University of Alberta

 The large number of control loops in a modern industrial plant poses a serious challenge for operators and engineers to monitor these loops to maintain… (more)

Subjects/Keywords: Feedback control systems; Control theory; Bayesian statistical decision theory

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APA (6th Edition):

Qi, F. (2011). Bayesian approach for control loop diagnosis. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/nv935390c

Chicago Manual of Style (16th Edition):

Qi, Fei. “Bayesian approach for control loop diagnosis.” 2011. Doctoral Dissertation, University of Alberta. Accessed September 15, 2019. https://era.library.ualberta.ca/files/nv935390c.

MLA Handbook (7th Edition):

Qi, Fei. “Bayesian approach for control loop diagnosis.” 2011. Web. 15 Sep 2019.

Vancouver:

Qi F. Bayesian approach for control loop diagnosis. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2019 Sep 15]. Available from: https://era.library.ualberta.ca/files/nv935390c.

Council of Science Editors:

Qi F. Bayesian approach for control loop diagnosis. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/nv935390c


Hong Kong University of Science and Technology

19. Pan, Baoqian. Bayesian methods for subset selection and survival analysis.

Degree: 2010, Hong Kong University of Science and Technology

 The selection of predictors to include is a crucial problem in building a multiple regression model. The canonical regression setup in multiple regression models assumes… (more)

Subjects/Keywords: Regression analysis; Prediction theory; Bayesian statistical decision theory

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

APA (6th Edition):

Pan, B. (2010). Bayesian methods for subset selection and survival analysis. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1114572 ; http://repository.ust.hk/ir/bitstream/1783.1-7034/1/th_redirect.html

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):

Pan, Baoqian. “Bayesian methods for subset selection and survival analysis.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed September 15, 2019. https://doi.org/10.14711/thesis-b1114572 ; http://repository.ust.hk/ir/bitstream/1783.1-7034/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Pan, Baoqian. “Bayesian methods for subset selection and survival analysis.” 2010. Web. 15 Sep 2019.

Vancouver:

Pan B. Bayesian methods for subset selection and survival analysis. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Sep 15]. Available from: https://doi.org/10.14711/thesis-b1114572 ; http://repository.ust.hk/ir/bitstream/1783.1-7034/1/th_redirect.html.

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

Council of Science Editors:

Pan B. Bayesian methods for subset selection and survival analysis. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1114572 ; http://repository.ust.hk/ir/bitstream/1783.1-7034/1/th_redirect.html

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


University of Oklahoma

20. Gwin, Mary Frances. The Virtues of Bayesian Epistemology.

Degree: PhD, 2011, University of Oklahoma

 The aim of this dissertation is to address the intersection of two normative epistemologies, Bayesian confirmation theory (BCT) and virtue epistemology (VE). While both are… (more)

Subjects/Keywords: Knowledge, Theory of; Bayesian statistical decision theory; Virtue epistemology

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

APA (6th Edition):

Gwin, M. F. (2011). The Virtues of Bayesian Epistemology. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318613

Chicago Manual of Style (16th Edition):

Gwin, Mary Frances. “The Virtues of Bayesian Epistemology.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed September 15, 2019. http://hdl.handle.net/11244/318613.

MLA Handbook (7th Edition):

Gwin, Mary Frances. “The Virtues of Bayesian Epistemology.” 2011. Web. 15 Sep 2019.

Vancouver:

Gwin MF. The Virtues of Bayesian Epistemology. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/11244/318613.

Council of Science Editors:

Gwin MF. The Virtues of Bayesian Epistemology. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/318613


Michigan State University

21. Chakraborty, Sayan. Estimation of statistical network and region-wise variable selection.

Degree: 2016, Michigan State University

Thesis Ph. D. Michigan State University. Statistics 2016

Network models are widely used to represent relations between actors or nodes. Recent studies of the network… (more)

Subjects/Keywords: Graph theory; System analysis; Bayesian statistical decision theory; Statistics

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APA (6th Edition):

Chakraborty, S. (2016). Estimation of statistical network and region-wise variable selection. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:4249

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):

Chakraborty, Sayan. “Estimation of statistical network and region-wise variable selection.” 2016. Thesis, Michigan State University. Accessed September 15, 2019. http://etd.lib.msu.edu/islandora/object/etd:4249.

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

MLA Handbook (7th Edition):

Chakraborty, Sayan. “Estimation of statistical network and region-wise variable selection.” 2016. Web. 15 Sep 2019.

Vancouver:

Chakraborty S. Estimation of statistical network and region-wise variable selection. [Internet] [Thesis]. Michigan State University; 2016. [cited 2019 Sep 15]. Available from: http://etd.lib.msu.edu/islandora/object/etd:4249.

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

Council of Science Editors:

Chakraborty S. Estimation of statistical network and region-wise variable selection. [Thesis]. Michigan State University; 2016. Available from: http://etd.lib.msu.edu/islandora/object/etd:4249

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


University of British Columbia

22. Luo, Wuben. A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications .

Degree: 1988, University of British Columbia

 The Bayesian theory has long been the predominate method in dealing with uncertainties in civil engineering practice including water resources engineering. However, it imposes unnecessary… (more)

Subjects/Keywords: Bayesian statistical decision theory; Statistical decision

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APA (6th Edition):

Luo, W. (1988). A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/28500

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):

Luo, Wuben. “A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications .” 1988. Thesis, University of British Columbia. Accessed September 15, 2019. http://hdl.handle.net/2429/28500.

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

MLA Handbook (7th Edition):

Luo, Wuben. “A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications .” 1988. Web. 15 Sep 2019.

Vancouver:

Luo W. A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications . [Internet] [Thesis]. University of British Columbia; 1988. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/2429/28500.

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

Council of Science Editors:

Luo W. A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications . [Thesis]. University of British Columbia; 1988. Available from: http://hdl.handle.net/2429/28500

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


Michigan State University

23. Karunamuni, Rohana Jith. Empirical bayes with sequential components.

Degree: PhD, Department of Statistics and Probability, 1985, Michigan State University

Subjects/Keywords: Bayesian statistical decision theory; Statistical decision

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

APA (6th Edition):

Karunamuni, R. J. (1985). Empirical bayes with sequential components. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:18388

Chicago Manual of Style (16th Edition):

Karunamuni, Rohana Jith. “Empirical bayes with sequential components.” 1985. Doctoral Dissertation, Michigan State University. Accessed September 15, 2019. http://etd.lib.msu.edu/islandora/object/etd:18388.

MLA Handbook (7th Edition):

Karunamuni, Rohana Jith. “Empirical bayes with sequential components.” 1985. Web. 15 Sep 2019.

Vancouver:

Karunamuni RJ. Empirical bayes with sequential components. [Internet] [Doctoral dissertation]. Michigan State University; 1985. [cited 2019 Sep 15]. Available from: http://etd.lib.msu.edu/islandora/object/etd:18388.

Council of Science Editors:

Karunamuni RJ. Empirical bayes with sequential components. [Doctoral Dissertation]. Michigan State University; 1985. Available from: http://etd.lib.msu.edu/islandora/object/etd:18388


Michigan State University

24. Tsao, How Jan. On the risk performance of Bayes empirical Bayes procedures in the finite state component case.

Degree: PhD, Department of Statistics and Probability, 1980, Michigan State University

Subjects/Keywords: Bayesian statistical decision theory; Statistical decision

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

APA (6th Edition):

Tsao, H. J. (1980). On the risk performance of Bayes empirical Bayes procedures in the finite state component case. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:19059

Chicago Manual of Style (16th Edition):

Tsao, How Jan. “On the risk performance of Bayes empirical Bayes procedures in the finite state component case.” 1980. Doctoral Dissertation, Michigan State University. Accessed September 15, 2019. http://etd.lib.msu.edu/islandora/object/etd:19059.

MLA Handbook (7th Edition):

Tsao, How Jan. “On the risk performance of Bayes empirical Bayes procedures in the finite state component case.” 1980. Web. 15 Sep 2019.

Vancouver:

Tsao HJ. On the risk performance of Bayes empirical Bayes procedures in the finite state component case. [Internet] [Doctoral dissertation]. Michigan State University; 1980. [cited 2019 Sep 15]. Available from: http://etd.lib.msu.edu/islandora/object/etd:19059.

Council of Science Editors:

Tsao HJ. On the risk performance of Bayes empirical Bayes procedures in the finite state component case. [Doctoral Dissertation]. Michigan State University; 1980. Available from: http://etd.lib.msu.edu/islandora/object/etd:19059


Rhodes University

25. Eldud Omer, Ahmed Abdelkarim. Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier.

Degree: MS, Faculty of Science, Statistics, 2016, Rhodes University

 The secondary structure of proteins is predicted using various binary classifiers. The data are adopted from the RS126 database. The original data consists of protein… (more)

Subjects/Keywords: Bayesian statistical decision theory; Logistic regression analysis; Biostatistics; Proteins  – Structure

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

APA (6th Edition):

Eldud Omer, A. A. (2016). Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier. (Masters Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1019985

Chicago Manual of Style (16th Edition):

Eldud Omer, Ahmed Abdelkarim. “Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier.” 2016. Masters Thesis, Rhodes University. Accessed September 15, 2019. http://hdl.handle.net/10962/d1019985.

MLA Handbook (7th Edition):

Eldud Omer, Ahmed Abdelkarim. “Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier.” 2016. Web. 15 Sep 2019.

Vancouver:

Eldud Omer AA. Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier. [Internet] [Masters thesis]. Rhodes University; 2016. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10962/d1019985.

Council of Science Editors:

Eldud Omer AA. Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier. [Masters Thesis]. Rhodes University; 2016. Available from: http://hdl.handle.net/10962/d1019985


Oregon State University

26. Borujerdi, Mohammad. Optimal inference with local expressions.

Degree: PhD, Computer Science, 1999, Oregon State University

 Probabilistic inference using Bayesian networks is now a well-established approach for reasoning under uncertainty. Among many e ciency-driven tech- niques which have been developed, the… (more)

Subjects/Keywords: Bayesian statistical decision theory

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APA (6th Edition):

Borujerdi, M. (1999). Optimal inference with local expressions. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/10221

Chicago Manual of Style (16th Edition):

Borujerdi, Mohammad. “Optimal inference with local expressions.” 1999. Doctoral Dissertation, Oregon State University. Accessed September 15, 2019. http://hdl.handle.net/1957/10221.

MLA Handbook (7th Edition):

Borujerdi, Mohammad. “Optimal inference with local expressions.” 1999. Web. 15 Sep 2019.

Vancouver:

Borujerdi M. Optimal inference with local expressions. [Internet] [Doctoral dissertation]. Oregon State University; 1999. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1957/10221.

Council of Science Editors:

Borujerdi M. Optimal inference with local expressions. [Doctoral Dissertation]. Oregon State University; 1999. Available from: http://hdl.handle.net/1957/10221


Oregon State University

27. Shih, John I. Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach.

Degree: PhD, Statistics, 1981, Oregon State University

Subjects/Keywords: Bayesian statistical decision theory

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

APA (6th Edition):

Shih, J. I. (1981). Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/42026

Chicago Manual of Style (16th Edition):

Shih, John I. “Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach.” 1981. Doctoral Dissertation, Oregon State University. Accessed September 15, 2019. http://hdl.handle.net/1957/42026.

MLA Handbook (7th Edition):

Shih, John I. “Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach.” 1981. Web. 15 Sep 2019.

Vancouver:

Shih JI. Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach. [Internet] [Doctoral dissertation]. Oregon State University; 1981. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1957/42026.

Council of Science Editors:

Shih JI. Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach. [Doctoral Dissertation]. Oregon State University; 1981. Available from: http://hdl.handle.net/1957/42026


Oregon State University

28. Wille, Jerald Robert. Bayes-Fiducial inference from censored normal data.

Degree: PhD, Statistics, 1975, Oregon State University

Subjects/Keywords: Bayesian statistical decision theory

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

APA (6th Edition):

Wille, J. R. (1975). Bayes-Fiducial inference from censored normal data. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/43973

Chicago Manual of Style (16th Edition):

Wille, Jerald Robert. “Bayes-Fiducial inference from censored normal data.” 1975. Doctoral Dissertation, Oregon State University. Accessed September 15, 2019. http://hdl.handle.net/1957/43973.

MLA Handbook (7th Edition):

Wille, Jerald Robert. “Bayes-Fiducial inference from censored normal data.” 1975. Web. 15 Sep 2019.

Vancouver:

Wille JR. Bayes-Fiducial inference from censored normal data. [Internet] [Doctoral dissertation]. Oregon State University; 1975. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1957/43973.

Council of Science Editors:

Wille JR. Bayes-Fiducial inference from censored normal data. [Doctoral Dissertation]. Oregon State University; 1975. Available from: http://hdl.handle.net/1957/43973


Oregon State University

29. Pointer, Patrick C. Density estimation using orthogonal series : a Bayesian approach.

Degree: PhD, Statistics, 1977, Oregon State University

Subjects/Keywords: Bayesian statistical decision theory

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

APA (6th Edition):

Pointer, P. C. (1977). Density estimation using orthogonal series : a Bayesian approach. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/43533

Chicago Manual of Style (16th Edition):

Pointer, Patrick C. “Density estimation using orthogonal series : a Bayesian approach.” 1977. Doctoral Dissertation, Oregon State University. Accessed September 15, 2019. http://hdl.handle.net/1957/43533.

MLA Handbook (7th Edition):

Pointer, Patrick C. “Density estimation using orthogonal series : a Bayesian approach.” 1977. Web. 15 Sep 2019.

Vancouver:

Pointer PC. Density estimation using orthogonal series : a Bayesian approach. [Internet] [Doctoral dissertation]. Oregon State University; 1977. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1957/43533.

Council of Science Editors:

Pointer PC. Density estimation using orthogonal series : a Bayesian approach. [Doctoral Dissertation]. Oregon State University; 1977. Available from: http://hdl.handle.net/1957/43533


Oregon State University

30. Burgess, Scott Alan. Analysis of Bayesian anytime inference algorithms.

Degree: PhD, Computer Science, 2001, Oregon State University

 This dissertation explores and analyzes the performance of several Bayesian anytime inference algorithms for dynamic influence diagrams. These algorithms are compared on the On-Line Maintenance… (more)

Subjects/Keywords: Bayesian statistical decision theory

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APA (6th Edition):

Burgess, S. A. (2001). Analysis of Bayesian anytime inference algorithms. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/29631

Chicago Manual of Style (16th Edition):

Burgess, Scott Alan. “Analysis of Bayesian anytime inference algorithms.” 2001. Doctoral Dissertation, Oregon State University. Accessed September 15, 2019. http://hdl.handle.net/1957/29631.

MLA Handbook (7th Edition):

Burgess, Scott Alan. “Analysis of Bayesian anytime inference algorithms.” 2001. Web. 15 Sep 2019.

Vancouver:

Burgess SA. Analysis of Bayesian anytime inference algorithms. [Internet] [Doctoral dissertation]. Oregon State University; 2001. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1957/29631.

Council of Science Editors:

Burgess SA. Analysis of Bayesian anytime inference algorithms. [Doctoral Dissertation]. Oregon State University; 2001. Available from: http://hdl.handle.net/1957/29631

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