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Rutgers University

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

Degree: MS, Psychology, 2016, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/49323/

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18056

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10948/d1021025

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: https://doi.org/10.14711/thesis-b1198293 ; http://repository.ust.hk/ir/bitstream/1783.1-7759/1/th_redirect.html

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 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

►

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.

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarworks.montana.edu/xmlui/handle/1/1798

► 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.

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1946/12062

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1946/18239

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/10179/3659

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.14711/thesis-991012554564003412 ; http://repository.ust.hk/ir/bitstream/1783.1-91073/1/th_redirect.html

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://doi.org/10.7916/D8Q24BJ2

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/53742/

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/55789/

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://researchonline.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/41882 ; http://innopac.ballarat.edu.au/record=b1285471

►

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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10722/235935

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.7916/D8H71Z8N

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://pdxscholar.library.pdx.edu/open_access_etds/128

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://era.library.ualberta.ca/files/nv935390c

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.14711/thesis-b1114572 ; http://repository.ust.hk/ir/bitstream/1783.1-7034/1/th_redirect.html

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/11244/318613

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.lib.msu.edu/islandora/object/etd:4249

►

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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2429/28500

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://etd.lib.msu.edu/islandora/object/etd:18388

Subjects/Keywords: Bayesian statistical decision theory; Statistical decision

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.lib.msu.edu/islandora/object/etd:19059

Subjects/Keywords: Bayesian statistical decision theory; Statistical decision

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10962/d1019985

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/10221

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/42026

Subjects/Keywords: Bayesian statistical decision theory

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/43973

Subjects/Keywords: Bayesian statistical decision theory

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/43533

Subjects/Keywords: Bayesian statistical decision theory

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1957/29631

► 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…
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Subjects/Keywords: Bayesian statistical decision theory

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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