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You searched for subject:(Bayesian method). Showing records 1 – 30 of 126 total matches.

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Case Western Reserve University

1. Li, Xiaosong. Testing on the Common Mean of Normal Distributions Using Bayesian Method.

Degree: PhD, Statistics, 2011, Case Western Reserve University

 Of all the problems in the statistical sciences, one of the oldest is the inference on a common mean of several different normal populations with… (more)

Subjects/Keywords: Statistics; Meta-Analysis; Bayesian method

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APA (6th Edition):

Li, X. (2011). Testing on the Common Mean of Normal Distributions Using Bayesian Method. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1301420382

Chicago Manual of Style (16th Edition):

Li, Xiaosong. “Testing on the Common Mean of Normal Distributions Using Bayesian Method.” 2011. Doctoral Dissertation, Case Western Reserve University. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1301420382.

MLA Handbook (7th Edition):

Li, Xiaosong. “Testing on the Common Mean of Normal Distributions Using Bayesian Method.” 2011. Web. 08 Aug 2020.

Vancouver:

Li X. Testing on the Common Mean of Normal Distributions Using Bayesian Method. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2011. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1301420382.

Council of Science Editors:

Li X. Testing on the Common Mean of Normal Distributions Using Bayesian Method. [Doctoral Dissertation]. Case Western Reserve University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1301420382


University of Cambridge

2. Jin, Yingyan. Supervised learning for back analysis of excavations in the observational method.

Degree: PhD, 2018, University of Cambridge

 In the past few decades, demand for construction in underground spaces has increased dramatically in urban areas with high population densities. However, the impact of… (more)

Subjects/Keywords: Bayesian inference; Excavations; Observational method; Back analysis

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APA (6th Edition):

Jin, Y. (2018). Supervised learning for back analysis of excavations in the observational method. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/275587

Chicago Manual of Style (16th Edition):

Jin, Yingyan. “Supervised learning for back analysis of excavations in the observational method.” 2018. Doctoral Dissertation, University of Cambridge. Accessed August 08, 2020. https://www.repository.cam.ac.uk/handle/1810/275587.

MLA Handbook (7th Edition):

Jin, Yingyan. “Supervised learning for back analysis of excavations in the observational method.” 2018. Web. 08 Aug 2020.

Vancouver:

Jin Y. Supervised learning for back analysis of excavations in the observational method. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2020 Aug 08]. Available from: https://www.repository.cam.ac.uk/handle/1810/275587.

Council of Science Editors:

Jin Y. Supervised learning for back analysis of excavations in the observational method. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/275587


University of Cambridge

3. Jin, Yingyan. Supervised learning for back analysis of excavations in the observational method.

Degree: PhD, 2018, University of Cambridge

 In the past few decades, demand for construction in underground spaces has increased dramatically in urban areas with high population densities. However, the impact of… (more)

Subjects/Keywords: Bayesian inference; Excavations; Observational method; Back analysis

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APA (6th Edition):

Jin, Y. (2018). Supervised learning for back analysis of excavations in the observational method. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/275587 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744808

Chicago Manual of Style (16th Edition):

Jin, Yingyan. “Supervised learning for back analysis of excavations in the observational method.” 2018. Doctoral Dissertation, University of Cambridge. Accessed August 08, 2020. https://www.repository.cam.ac.uk/handle/1810/275587 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744808.

MLA Handbook (7th Edition):

Jin, Yingyan. “Supervised learning for back analysis of excavations in the observational method.” 2018. Web. 08 Aug 2020.

Vancouver:

Jin Y. Supervised learning for back analysis of excavations in the observational method. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2020 Aug 08]. Available from: https://www.repository.cam.ac.uk/handle/1810/275587 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744808.

Council of Science Editors:

Jin Y. Supervised learning for back analysis of excavations in the observational method. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/275587 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744808


East Tennessee State University

4. Tang, Qi. Comparison of Different Methods for Estimating Log-normal Means.

Degree: MS, Mathematical Sciences, 2014, East Tennessee State University

  The log-normal distribution is a popular model in many areas, especially in biostatistics and survival analysis where the data tend to be right skewed.… (more)

Subjects/Keywords: Log-normal distribution; Log-normal means; Frequentist method; Bayesian method; MSE; Simulation; Statistical Theory

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APA (6th Edition):

Tang, Q. (2014). Comparison of Different Methods for Estimating Log-normal Means. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/2338

Chicago Manual of Style (16th Edition):

Tang, Qi. “Comparison of Different Methods for Estimating Log-normal Means.” 2014. Masters Thesis, East Tennessee State University. Accessed August 08, 2020. https://dc.etsu.edu/etd/2338.

MLA Handbook (7th Edition):

Tang, Qi. “Comparison of Different Methods for Estimating Log-normal Means.” 2014. Web. 08 Aug 2020.

Vancouver:

Tang Q. Comparison of Different Methods for Estimating Log-normal Means. [Internet] [Masters thesis]. East Tennessee State University; 2014. [cited 2020 Aug 08]. Available from: https://dc.etsu.edu/etd/2338.

Council of Science Editors:

Tang Q. Comparison of Different Methods for Estimating Log-normal Means. [Masters Thesis]. East Tennessee State University; 2014. Available from: https://dc.etsu.edu/etd/2338


University of Manitoba

5. Zhang, Weijia. Statistical design of phase I clinical trials.

Degree: Statistics, 2016, University of Manitoba

 My MSc thesis is focused on parametric designs of Phase I clinical trials, using the continual reassessment method. A parametric model with unknown parameters is… (more)

Subjects/Keywords: Phase I clinical trials; Continual reassessment method; Bayesian method; Toxicity; Maximum tolerated dose

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APA (6th Edition):

Zhang, W. (2016). Statistical design of phase I clinical trials. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31795

Chicago Manual of Style (16th Edition):

Zhang, Weijia. “Statistical design of phase I clinical trials.” 2016. Masters Thesis, University of Manitoba. Accessed August 08, 2020. http://hdl.handle.net/1993/31795.

MLA Handbook (7th Edition):

Zhang, Weijia. “Statistical design of phase I clinical trials.” 2016. Web. 08 Aug 2020.

Vancouver:

Zhang W. Statistical design of phase I clinical trials. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1993/31795.

Council of Science Editors:

Zhang W. Statistical design of phase I clinical trials. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31795


The Ohio State University

6. Xu, Zhiguang. Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method.

Degree: PhD, Statistics, 2014, The Ohio State University

 This dissertation proposes nonparametric Bayesian methods to study a large class of non-Gaussian time-correlated data, including non-Gaussian time series and non-Gaussian longitudinal datasets.When a time… (more)

Subjects/Keywords: Statistics; time series, longitudinal data, copula, nonparametric Bayesian method

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APA (6th Edition):

Xu, Z. (2014). Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732

Chicago Manual of Style (16th Edition):

Xu, Zhiguang. “Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method.” 2014. Doctoral Dissertation, The Ohio State University. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732.

MLA Handbook (7th Edition):

Xu, Zhiguang. “Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method.” 2014. Web. 08 Aug 2020.

Vancouver:

Xu Z. Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732.

Council of Science Editors:

Xu Z. Modeling Non-Gaussian Time-correlated Data Using Nonparametric Bayesian Method. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406068732


Oklahoma State University

7. Phetcharat, Chaowana. Optimal Application of Swine Effluent in Texas and Oklahoma Panhandles Determined by Bayesian Stochastic Dynamic Programming.

Degree: Department of Agricultural Economics, 2011, Oklahoma State University

 A Bayesian stochastic dynamic programming model was used to determine the most efficient time to apply swine effluent to corn production in the Texas and… (more)

Subjects/Keywords: bayesian method; stochastic dynamic programming; swine effluent; weather forecasts

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APA (6th Edition):

Phetcharat, C. (2011). Optimal Application of Swine Effluent in Texas and Oklahoma Panhandles Determined by Bayesian Stochastic Dynamic Programming. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/6534

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):

Phetcharat, Chaowana. “Optimal Application of Swine Effluent in Texas and Oklahoma Panhandles Determined by Bayesian Stochastic Dynamic Programming.” 2011. Thesis, Oklahoma State University. Accessed August 08, 2020. http://hdl.handle.net/11244/6534.

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

MLA Handbook (7th Edition):

Phetcharat, Chaowana. “Optimal Application of Swine Effluent in Texas and Oklahoma Panhandles Determined by Bayesian Stochastic Dynamic Programming.” 2011. Web. 08 Aug 2020.

Vancouver:

Phetcharat C. Optimal Application of Swine Effluent in Texas and Oklahoma Panhandles Determined by Bayesian Stochastic Dynamic Programming. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/11244/6534.

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

Council of Science Editors:

Phetcharat C. Optimal Application of Swine Effluent in Texas and Oklahoma Panhandles Determined by Bayesian Stochastic Dynamic Programming. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/6534

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


University of New South Wales

8. Waldrip, Steven. Probabilistic Analysis of Flow Networks using the Maximum Entropy Method.

Degree: Engineering & Information Technology, 2017, University of New South Wales

 A maximum entropy (MaxEnt) framework is developed to predict mean flow rates in hydraulic pipe, electrical and transportation networks, without sufficient constraints to enable a… (more)

Subjects/Keywords: Bayesian statistical decision theory; Hydraulic engineering; Maximum entropy method

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APA (6th Edition):

Waldrip, S. (2017). Probabilistic Analysis of Flow Networks using the Maximum Entropy Method. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58770 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47541/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Waldrip, Steven. “Probabilistic Analysis of Flow Networks using the Maximum Entropy Method.” 2017. Doctoral Dissertation, University of New South Wales. Accessed August 08, 2020. http://handle.unsw.edu.au/1959.4/58770 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47541/SOURCE02?view=true.

MLA Handbook (7th Edition):

Waldrip, Steven. “Probabilistic Analysis of Flow Networks using the Maximum Entropy Method.” 2017. Web. 08 Aug 2020.

Vancouver:

Waldrip S. Probabilistic Analysis of Flow Networks using the Maximum Entropy Method. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Aug 08]. Available from: http://handle.unsw.edu.au/1959.4/58770 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47541/SOURCE02?view=true.

Council of Science Editors:

Waldrip S. Probabilistic Analysis of Flow Networks using the Maximum Entropy Method. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58770 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47541/SOURCE02?view=true


Baylor University

9. Yuan, Jiang, 1984-. Normal approximation for Bayesian models with non-sampling bias.

Degree: PhD, Statistical Sciences., 2014, Baylor University

Bayesian sample size determination can be computationally intensive for mod- els where Markov chain Monte Carlo (MCMC) methods are commonly used for in- ference. It… (more)

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

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APA (6th Edition):

Yuan, Jiang, 1. (2014). Normal approximation for Bayesian models with non-sampling bias. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/8926

Chicago Manual of Style (16th Edition):

Yuan, Jiang, 1984-. “Normal approximation for Bayesian models with non-sampling bias.” 2014. Doctoral Dissertation, Baylor University. Accessed August 08, 2020. http://hdl.handle.net/2104/8926.

MLA Handbook (7th Edition):

Yuan, Jiang, 1984-. “Normal approximation for Bayesian models with non-sampling bias.” 2014. Web. 08 Aug 2020.

Vancouver:

Yuan, Jiang 1. Normal approximation for Bayesian models with non-sampling bias. [Internet] [Doctoral dissertation]. Baylor University; 2014. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2104/8926.

Council of Science Editors:

Yuan, Jiang 1. Normal approximation for Bayesian models with non-sampling bias. [Doctoral Dissertation]. Baylor University; 2014. Available from: http://hdl.handle.net/2104/8926


Georgia State University

10. Beane, Stephanie. Describing Healthcare Service Delivery in a Ryan White Funded HIV Clinic: A Bayesian Mixed Method Case Study.

Degree: PhD, Educational Policy Studies, 2016, Georgia State University

  This dissertation describes health care delivery in a Ryan White Program (RWP) HIV clinic, with a focus on medical home care, using the Bayesian(more)

Subjects/Keywords: Bayesian Statistics; HIV/AIDS; Case Study; Mixed-method; Healthcare

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APA (6th Edition):

Beane, S. (2016). Describing Healthcare Service Delivery in a Ryan White Funded HIV Clinic: A Bayesian Mixed Method Case Study. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/eps_diss/152

Chicago Manual of Style (16th Edition):

Beane, Stephanie. “Describing Healthcare Service Delivery in a Ryan White Funded HIV Clinic: A Bayesian Mixed Method Case Study.” 2016. Doctoral Dissertation, Georgia State University. Accessed August 08, 2020. https://scholarworks.gsu.edu/eps_diss/152.

MLA Handbook (7th Edition):

Beane, Stephanie. “Describing Healthcare Service Delivery in a Ryan White Funded HIV Clinic: A Bayesian Mixed Method Case Study.” 2016. Web. 08 Aug 2020.

Vancouver:

Beane S. Describing Healthcare Service Delivery in a Ryan White Funded HIV Clinic: A Bayesian Mixed Method Case Study. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2020 Aug 08]. Available from: https://scholarworks.gsu.edu/eps_diss/152.

Council of Science Editors:

Beane S. Describing Healthcare Service Delivery in a Ryan White Funded HIV Clinic: A Bayesian Mixed Method Case Study. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/eps_diss/152


Uppsala University

11. Stålenheim, Julia. Bayesian confirmation Theory and all of the Sciences : A unified approach.

Degree: Philosophy, 2019, Uppsala University

  The aim of this thesis essay is to show that Bayesian confirmation theory can be used instead of the hypothetico-deductive method for all sciences.Føllesdal… (more)

Subjects/Keywords: Bayesian confirmation theory; Hypothetico-deductive method; Follesdal; Føllesdal; Philosophy; Filosofi

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APA (6th Edition):

Stålenheim, J. (2019). Bayesian confirmation Theory and all of the Sciences : A unified approach. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389912

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):

Stålenheim, Julia. “Bayesian confirmation Theory and all of the Sciences : A unified approach.” 2019. Thesis, Uppsala University. Accessed August 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389912.

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

MLA Handbook (7th Edition):

Stålenheim, Julia. “Bayesian confirmation Theory and all of the Sciences : A unified approach.” 2019. Web. 08 Aug 2020.

Vancouver:

Stålenheim J. Bayesian confirmation Theory and all of the Sciences : A unified approach. [Internet] [Thesis]. Uppsala University; 2019. [cited 2020 Aug 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389912.

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

Council of Science Editors:

Stålenheim J. Bayesian confirmation Theory and all of the Sciences : A unified approach. [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389912

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


Delft University of Technology

12. de Wolf, Inge (author). The Observational Method for building pits in soft-soil conditions: A study on measurement-processing and feasibility of the Observational method Ab Initio approach.

Degree: 2019, Delft University of Technology

In the Observational Method Ab Initio approach a flexible design and construction plan is established to allow anticipation to observational feedback during the construction phase.… (more)

Subjects/Keywords: Observational Method; Retaining wall design; Bayesian Inference; Statistical Analysis

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APA (6th Edition):

de Wolf, I. (. (2019). The Observational Method for building pits in soft-soil conditions: A study on measurement-processing and feasibility of the Observational method Ab Initio approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:cd481176-507e-4fab-8bb8-0cce4c012aea

Chicago Manual of Style (16th Edition):

de Wolf, Inge (author). “The Observational Method for building pits in soft-soil conditions: A study on measurement-processing and feasibility of the Observational method Ab Initio approach.” 2019. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:cd481176-507e-4fab-8bb8-0cce4c012aea.

MLA Handbook (7th Edition):

de Wolf, Inge (author). “The Observational Method for building pits in soft-soil conditions: A study on measurement-processing and feasibility of the Observational method Ab Initio approach.” 2019. Web. 08 Aug 2020.

Vancouver:

de Wolf I(. The Observational Method for building pits in soft-soil conditions: A study on measurement-processing and feasibility of the Observational method Ab Initio approach. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:cd481176-507e-4fab-8bb8-0cce4c012aea.

Council of Science Editors:

de Wolf I(. The Observational Method for building pits in soft-soil conditions: A study on measurement-processing and feasibility of the Observational method Ab Initio approach. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:cd481176-507e-4fab-8bb8-0cce4c012aea

13. Delcroix, Sophie M. Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences.

Degree: MS, 1999, Worcester Polytechnic Institute

  "We analyze mortality data from prostate, colon, lung, and all other types (called other cancer) to obtain age specific and age adjusted mortality rates… (more)

Subjects/Keywords: Bayesian method; mapping; Bayesian statistical decision theory; Cancer; Statistics

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APA (6th Edition):

Delcroix, S. M. (1999). Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-121499-141337 ; https://digitalcommons.wpi.edu/etd-theses/1114

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):

Delcroix, Sophie M. “Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences.” 1999. Thesis, Worcester Polytechnic Institute. Accessed August 08, 2020. etd-121499-141337 ; https://digitalcommons.wpi.edu/etd-theses/1114.

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

MLA Handbook (7th Edition):

Delcroix, Sophie M. “Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences.” 1999. Web. 08 Aug 2020.

Vancouver:

Delcroix SM. Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences. [Internet] [Thesis]. Worcester Polytechnic Institute; 1999. [cited 2020 Aug 08]. Available from: etd-121499-141337 ; https://digitalcommons.wpi.edu/etd-theses/1114.

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

Council of Science Editors:

Delcroix SM. Bayesian Analysis of Cancer Mortality Rates from Different Types and their Relative Occurrences. [Thesis]. Worcester Polytechnic Institute; 1999. Available from: etd-121499-141337 ; https://digitalcommons.wpi.edu/etd-theses/1114

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


University of California – Irvine

14. Xu, Jin. Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics.

Degree: Statistics, 2014, University of California – Irvine

 Systematic instrumental uncertainties in astronomical analyses have been generally ignored in data analysis due to the lack of robust principled methods, though the importance of… (more)

Subjects/Keywords: Statistics; Astrophysics; Bayesian Method; Calibration Uncertainty; Detectors; High-Energy Astrophysics; Spectral Analysis; Systematic Errors

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APA (6th Edition):

Xu, J. (2014). Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/0rg9z7d7

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):

Xu, Jin. “Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics.” 2014. Thesis, University of California – Irvine. Accessed August 08, 2020. http://www.escholarship.org/uc/item/0rg9z7d7.

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

MLA Handbook (7th Edition):

Xu, Jin. “Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics.” 2014. Web. 08 Aug 2020.

Vancouver:

Xu J. Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2020 Aug 08]. Available from: http://www.escholarship.org/uc/item/0rg9z7d7.

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

Council of Science Editors:

Xu J. Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/0rg9z7d7

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

15. Thomas, Lina Dornelas. Construção de redes usando estatística clássica e Bayesiana - uma comparação.

Degree: Mestrado, Estatística, 2012, University of São Paulo

Nesta pesquisa, estudamos e comparamos duas maneiras de se construir redes. O principal objetivo do nosso estudo é encontrar uma forma efetiva de se construir… (more)

Subjects/Keywords: Bayesian statistics; complex networks; correlação parcial; estatística Bayesiana; inverse method; método inverso; partial correlation; redes

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APA (6th Edition):

Thomas, L. D. (2012). Construção de redes usando estatística clássica e Bayesiana - uma comparação. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;

Chicago Manual of Style (16th Edition):

Thomas, Lina Dornelas. “Construção de redes usando estatística clássica e Bayesiana - uma comparação.” 2012. Masters Thesis, University of São Paulo. Accessed August 08, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;.

MLA Handbook (7th Edition):

Thomas, Lina Dornelas. “Construção de redes usando estatística clássica e Bayesiana - uma comparação.” 2012. Web. 08 Aug 2020.

Vancouver:

Thomas LD. Construção de redes usando estatística clássica e Bayesiana - uma comparação. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2020 Aug 08]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;.

Council of Science Editors:

Thomas LD. Construção de redes usando estatística clássica e Bayesiana - uma comparação. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;


Texas A&M University

16. Xun, Xiaolei. Statistical Inference in Inverse Problems.

Degree: 2012, Texas A&M University

 Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low… (more)

Subjects/Keywords: Inverse problems; Bayesian method; Source detection; Parameter estimation; Parameter cascading; Partial differential equations.

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

APA (6th Edition):

Xun, X. (2012). Statistical Inference in Inverse Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

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):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Thesis, Texas A&M University. Accessed August 08, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

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

MLA Handbook (7th Edition):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Web. 08 Aug 2020.

Vancouver:

Xun X. Statistical Inference in Inverse Problems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

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

Council of Science Editors:

Xun X. Statistical Inference in Inverse Problems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

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


North Carolina State University

17. Krachey, Elizabeth Catherine. Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Di fferent Censoring Scenarios.

Degree: PhD, Statistics, 2009, North Carolina State University

 The accelerated failure time (AFT) model is a popular model for time-to-event data. It provides a useful alternative when the proportional hazards assumption is in… (more)

Subjects/Keywords: Markov chain Monte Carlo method; Long-term survival; Interval-censoring; Bayesian; Posterior consistency; Mixture density

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

APA (6th Edition):

Krachey, E. C. (2009). Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Di fferent Censoring Scenarios. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3619

Chicago Manual of Style (16th Edition):

Krachey, Elizabeth Catherine. “Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Di fferent Censoring Scenarios.” 2009. Doctoral Dissertation, North Carolina State University. Accessed August 08, 2020. http://www.lib.ncsu.edu/resolver/1840.16/3619.

MLA Handbook (7th Edition):

Krachey, Elizabeth Catherine. “Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Di fferent Censoring Scenarios.” 2009. Web. 08 Aug 2020.

Vancouver:

Krachey EC. Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Di fferent Censoring Scenarios. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2020 Aug 08]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3619.

Council of Science Editors:

Krachey EC. Variations on the Accelerated Failure Time Model: Mixture Distributions, Cure Rates, and Di fferent Censoring Scenarios. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3619


University of Manitoba

18. Zhang, Weijia. Novel statistical designs for phase I clinical trials.

Degree: Statistics, 2019, University of Manitoba

 A clinical trial is an experiment on human subjects designed to evaluate the safety and efficacy of a new drug or medical intervention. There are… (more)

Subjects/Keywords: Bayesian method; CRM; Maximum tolerated dose; Phase I clinical trials; Toxicity probability

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APA (6th Edition):

Zhang, W. (2019). Novel statistical designs for phase I clinical trials. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34170

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):

Zhang, Weijia. “Novel statistical designs for phase I clinical trials.” 2019. Thesis, University of Manitoba. Accessed August 08, 2020. http://hdl.handle.net/1993/34170.

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

MLA Handbook (7th Edition):

Zhang, Weijia. “Novel statistical designs for phase I clinical trials.” 2019. Web. 08 Aug 2020.

Vancouver:

Zhang W. Novel statistical designs for phase I clinical trials. [Internet] [Thesis]. University of Manitoba; 2019. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1993/34170.

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

Council of Science Editors:

Zhang W. Novel statistical designs for phase I clinical trials. [Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34170

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


Duke University

19. Zhao, Shiwen. New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data .

Degree: 2016, Duke University

  Constant technology advances have caused data explosion in recent years. Accord- ingly modern statistical and machine learning methods must be adapted to deal with… (more)

Subjects/Keywords: Statistics; Bioinformatics; Mathematics; Bayesian Statistics; Big Data; Dimension Reduction; Latent Structure; Method of Moment

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

APA (6th Edition):

Zhao, S. (2016). New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/12187

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):

Zhao, Shiwen. “New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data .” 2016. Thesis, Duke University. Accessed August 08, 2020. http://hdl.handle.net/10161/12187.

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

MLA Handbook (7th Edition):

Zhao, Shiwen. “New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data .” 2016. Web. 08 Aug 2020.

Vancouver:

Zhao S. New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data . [Internet] [Thesis]. Duke University; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10161/12187.

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

Council of Science Editors:

Zhao S. New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/12187

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

20. Kamilis, Dimitrios. Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models.

Degree: PhD, 2018, University of Edinburgh

 Uncertainty Quantification (UQ) has been an active area of research in recent years with a wide range of applications in data and imaging sciences. In… (more)

Subjects/Keywords: uncertainty quantification; model reduction; computational electromagnetism; controlled-source electromagnetic method; reduced basis method; empirical interpolation method; sparse quadrature; Bayesian inverse problems; low-frequency Maxwell equation

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

APA (6th Edition):

Kamilis, D. (2018). Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31415

Chicago Manual of Style (16th Edition):

Kamilis, Dimitrios. “Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed August 08, 2020. http://hdl.handle.net/1842/31415.

MLA Handbook (7th Edition):

Kamilis, Dimitrios. “Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models.” 2018. Web. 08 Aug 2020.

Vancouver:

Kamilis D. Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1842/31415.

Council of Science Editors:

Kamilis D. Uncertainty Quantification for low-frequency Maxwell equations with stochastic conductivity models. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31415


University of California – Merced

21. Rajapaksha Wasala Mudiyanselage, Anusha Madushani. Parameter Inference for Stochastic Differential Equations.

Degree: Applied Mathematics, 2017, University of California – Merced

 In this dissertation, we consider the problem of inferring unknown parameters of stochastic differential equations (SDE) from time-series observations. In particular, we develop and test… (more)

Subjects/Keywords: Applied mathematics; Statistics; Bayesian inference; density tracking by quadrature; DTQ method; maximum likelihood; Parameter Inference; Stochastic Differential Equations

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

APA (6th Edition):

Rajapaksha Wasala Mudiyanselage, A. M. (2017). Parameter Inference for Stochastic Differential Equations. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/3c31h0bw

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):

Rajapaksha Wasala Mudiyanselage, Anusha Madushani. “Parameter Inference for Stochastic Differential Equations.” 2017. Thesis, University of California – Merced. Accessed August 08, 2020. http://www.escholarship.org/uc/item/3c31h0bw.

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

MLA Handbook (7th Edition):

Rajapaksha Wasala Mudiyanselage, Anusha Madushani. “Parameter Inference for Stochastic Differential Equations.” 2017. Web. 08 Aug 2020.

Vancouver:

Rajapaksha Wasala Mudiyanselage AM. Parameter Inference for Stochastic Differential Equations. [Internet] [Thesis]. University of California – Merced; 2017. [cited 2020 Aug 08]. Available from: http://www.escholarship.org/uc/item/3c31h0bw.

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

Council of Science Editors:

Rajapaksha Wasala Mudiyanselage AM. Parameter Inference for Stochastic Differential Equations. [Thesis]. University of California – Merced; 2017. Available from: http://www.escholarship.org/uc/item/3c31h0bw

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


UCLA

22. Chen, Qiaolin. A Bayesian Family Factor Model for Multiple Outcomes.

Degree: Biostatistics, 2013, UCLA

 The UCLA Neurocognitive Family Study (NFS) collected multiple measurements onschizophrenia (SZ) patients and their relatives, as well as control subjects and theirrelatives, to study heritable… (more)

Subjects/Keywords: Biostatistics; Bayesian Inference; Confirmatory Factor Analysis; Familial Data; Makov chain Monte Carlo; Multi-Trait Multi-Method; Multivariate Analysis

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

APA (6th Edition):

Chen, Q. (2013). A Bayesian Family Factor Model for Multiple Outcomes. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9cj98592

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

Chicago Manual of Style (16th Edition):

Chen, Qiaolin. “A Bayesian Family Factor Model for Multiple Outcomes.” 2013. Thesis, UCLA. Accessed August 08, 2020. http://www.escholarship.org/uc/item/9cj98592.

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

MLA Handbook (7th Edition):

Chen, Qiaolin. “A Bayesian Family Factor Model for Multiple Outcomes.” 2013. Web. 08 Aug 2020.

Vancouver:

Chen Q. A Bayesian Family Factor Model for Multiple Outcomes. [Internet] [Thesis]. UCLA; 2013. [cited 2020 Aug 08]. Available from: http://www.escholarship.org/uc/item/9cj98592.

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

Council of Science Editors:

Chen Q. A Bayesian Family Factor Model for Multiple Outcomes. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/9cj98592

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

23. Ramos, Leyla Costa. Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos.

Degree: Mestrado, Estatística, 2008, University of São Paulo

Nesse trabalho, apresentaremos o método econômico desenvolvido por Taguchi para monitoramento on line da qualidade para atributos. O propósito deste método é obter o intervalo… (more)

Subjects/Keywords: bayesian decison theory; intervalo de inspeção ótimo; método de Taguchi; optimal sampling interval; Taguchi´s method; teoria de decisão bayesiana

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

APA (6th Edition):

Ramos, L. C. (2008). Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-12082008-205637/ ;

Chicago Manual of Style (16th Edition):

Ramos, Leyla Costa. “Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos.” 2008. Masters Thesis, University of São Paulo. Accessed August 08, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-12082008-205637/ ;.

MLA Handbook (7th Edition):

Ramos, Leyla Costa. “Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos.” 2008. Web. 08 Aug 2020.

Vancouver:

Ramos LC. Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2020 Aug 08]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-12082008-205637/ ;.

Council of Science Editors:

Ramos LC. Uma abordagem bayesiana para o método de controle on-line de Taguchi para atributos. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-12082008-205637/ ;

24. Sparano, João Vicente. Método de estimação de espectro direcional de ondas baseado em movimentos de 1ª ordem de sistemas oceânicos: validação em escala reduzida e verificação em escala real.

Degree: PhD, Engenharia Naval e Oceânica, 2008, University of São Paulo

Este texto trata da estimação de espectro direcional de ondas a partir de movimentos de primeira ordem de sistemas oceânicos estacionários utilizando um método de… (more)

Subjects/Keywords: Bayesian method; Directional wave spectrum estimation; Estimação espectro direcional; Experimental validation; Método Bayesiano; Monitoração escala real; Real scale monitoring; Validação experimental

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APA (6th Edition):

Sparano, J. V. (2008). Método de estimação de espectro direcional de ondas baseado em movimentos de 1ª ordem de sistemas oceânicos: validação em escala reduzida e verificação em escala real. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3135/tde-30092008-144215/ ;

Chicago Manual of Style (16th Edition):

Sparano, João Vicente. “Método de estimação de espectro direcional de ondas baseado em movimentos de 1ª ordem de sistemas oceânicos: validação em escala reduzida e verificação em escala real.” 2008. Doctoral Dissertation, University of São Paulo. Accessed August 08, 2020. http://www.teses.usp.br/teses/disponiveis/3/3135/tde-30092008-144215/ ;.

MLA Handbook (7th Edition):

Sparano, João Vicente. “Método de estimação de espectro direcional de ondas baseado em movimentos de 1ª ordem de sistemas oceânicos: validação em escala reduzida e verificação em escala real.” 2008. Web. 08 Aug 2020.

Vancouver:

Sparano JV. Método de estimação de espectro direcional de ondas baseado em movimentos de 1ª ordem de sistemas oceânicos: validação em escala reduzida e verificação em escala real. [Internet] [Doctoral dissertation]. University of São Paulo; 2008. [cited 2020 Aug 08]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3135/tde-30092008-144215/ ;.

Council of Science Editors:

Sparano JV. Método de estimação de espectro direcional de ondas baseado em movimentos de 1ª ordem de sistemas oceânicos: validação em escala reduzida e verificação em escala real. [Doctoral Dissertation]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/3/3135/tde-30092008-144215/ ;

25. Σιέλης, Γεώργιος. Σχεδιασμός και υλοποίηση εξελικτικών μοντέλων χρηστών σε εικονικά περιβάλλοντα μάθησης.

Degree: 2008, University of Patras

Πέραν από τις κλασσικές μεθόδους ηλεκτρονικής μάθησης που εφαρμόζονται σήμερα, προτείνεται ένας συνδυασμός εξελικτικών αλγορίθμων και τεχνητής νοημοσύνης για την δημιουργία έξυπνων προσαρμοστικών συστημάτων ηλεκτρονικής… (more)

Subjects/Keywords: Εξελικτικός προγραμματισμός; Μέθοδος Bayes; Προσαρμοστικότητα; Εξατομίκευση; Εξυπνοι πράκτορες; Γενετικοί αλγόριθμοι; 371.334; Evolutionary programming; Adaptation; Personalization; Agent technology; Genetic algorithms; Bayesian method

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

APA (6th Edition):

Σιέλης, . (2008). Σχεδιασμός και υλοποίηση εξελικτικών μοντέλων χρηστών σε εικονικά περιβάλλοντα μάθησης. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/988

Chicago Manual of Style (16th Edition):

Σιέλης, Γεώργιος. “Σχεδιασμός και υλοποίηση εξελικτικών μοντέλων χρηστών σε εικονικά περιβάλλοντα μάθησης.” 2008. Masters Thesis, University of Patras. Accessed August 08, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/988.

MLA Handbook (7th Edition):

Σιέλης, Γεώργιος. “Σχεδιασμός και υλοποίηση εξελικτικών μοντέλων χρηστών σε εικονικά περιβάλλοντα μάθησης.” 2008. Web. 08 Aug 2020.

Vancouver:

Σιέλης . Σχεδιασμός και υλοποίηση εξελικτικών μοντέλων χρηστών σε εικονικά περιβάλλοντα μάθησης. [Internet] [Masters thesis]. University of Patras; 2008. [cited 2020 Aug 08]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/988.

Council of Science Editors:

Σιέλης . Σχεδιασμός και υλοποίηση εξελικτικών μοντέλων χρηστών σε εικονικά περιβάλλοντα μάθησης. [Masters Thesis]. University of Patras; 2008. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/988


University of Missouri – Columbia

26. Loddo, Antonello, 1976-. Bayesian analysis of multivariate stochastic volatility and dynamic models.

Degree: PhD, 2006, University of Missouri – Columbia

 We consider a multivariate regression model with time varying volatilities in the error term. The time varying volatility for each component of the error is… (more)

Subjects/Keywords: Bayesian statistical decision theory; Markov processes; Monte Carlo method

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APA (6th Edition):

Loddo, Antonello, 1. (2006). Bayesian analysis of multivariate stochastic volatility and dynamic models. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/4359

Chicago Manual of Style (16th Edition):

Loddo, Antonello, 1976-. “Bayesian analysis of multivariate stochastic volatility and dynamic models.” 2006. Doctoral Dissertation, University of Missouri – Columbia. Accessed August 08, 2020. https://doi.org/10.32469/10355/4359.

MLA Handbook (7th Edition):

Loddo, Antonello, 1976-. “Bayesian analysis of multivariate stochastic volatility and dynamic models.” 2006. Web. 08 Aug 2020.

Vancouver:

Loddo, Antonello 1. Bayesian analysis of multivariate stochastic volatility and dynamic models. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2006. [cited 2020 Aug 08]. Available from: https://doi.org/10.32469/10355/4359.

Council of Science Editors:

Loddo, Antonello 1. Bayesian analysis of multivariate stochastic volatility and dynamic models. [Doctoral Dissertation]. University of Missouri – Columbia; 2006. Available from: https://doi.org/10.32469/10355/4359


University of Pennsylvania

27. Shin, Min Chul. Bayesian Gmm.

Degree: 2015, University of Pennsylvania

 I study a semiparametric Bayesian method for over-identified moment condition models. A mixture of parametric distributions with random weights is used to flexibly model an… (more)

Subjects/Keywords: Bayesian nonparametrics; Dynamic latent variable models; Exponential tilting; Generalized method of moments; Sequential Monte Carlo; Economics

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APA (6th Edition):

Shin, M. C. (2015). Bayesian Gmm. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2009

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):

Shin, Min Chul. “Bayesian Gmm.” 2015. Thesis, University of Pennsylvania. Accessed August 08, 2020. https://repository.upenn.edu/edissertations/2009.

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

MLA Handbook (7th Edition):

Shin, Min Chul. “Bayesian Gmm.” 2015. Web. 08 Aug 2020.

Vancouver:

Shin MC. Bayesian Gmm. [Internet] [Thesis]. University of Pennsylvania; 2015. [cited 2020 Aug 08]. Available from: https://repository.upenn.edu/edissertations/2009.

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

Council of Science Editors:

Shin MC. Bayesian Gmm. [Thesis]. University of Pennsylvania; 2015. Available from: https://repository.upenn.edu/edissertations/2009

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


Swedish University of Agricultural Sciences

28. Liu, Lihong. Molecular phylogeny, classification, evolution and detection of pestiviruses.

Degree: 2009, Swedish University of Agricultural Sciences

 The genus Pestivirus comprises four recognised species: Bovine viral diarrhoea virus 1 (BVDV-1), Bovine viral diarrhoea virus 2 (BVDV-2), Border disease virus (BDV), and Classical… (more)

Subjects/Keywords: pestvirus; classification; phylogeny; evolution; pcr; statistical method; Bayesian; classification; evolution; Maximum likelihood; pestivirus; real-time RT-PCR

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

APA (6th Edition):

Liu, L. (2009). Molecular phylogeny, classification, evolution and detection of pestiviruses. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from http://pub.epsilon.slu.se/1945/

Chicago Manual of Style (16th Edition):

Liu, Lihong. “Molecular phylogeny, classification, evolution and detection of pestiviruses.” 2009. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed August 08, 2020. http://pub.epsilon.slu.se/1945/.

MLA Handbook (7th Edition):

Liu, Lihong. “Molecular phylogeny, classification, evolution and detection of pestiviruses.” 2009. Web. 08 Aug 2020.

Vancouver:

Liu L. Molecular phylogeny, classification, evolution and detection of pestiviruses. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2009. [cited 2020 Aug 08]. Available from: http://pub.epsilon.slu.se/1945/.

Council of Science Editors:

Liu L. Molecular phylogeny, classification, evolution and detection of pestiviruses. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2009. Available from: http://pub.epsilon.slu.se/1945/


Universidade do Rio Grande do Sul

29. Lopes, Carlos Bruno Oliveira. Detecção visual de atividade de voz com base na movimentação labial.

Degree: 2013, Universidade do Rio Grande do Sul

O movimento dos lábios é um recurso visual relevante para a detecção da atividade de voz do locutor e para o reconhecimento da fala. Quando… (more)

Subjects/Keywords: Computação gráfica; Bayesian method; Skin segmentation; Informática médica; Processamento : Imagem; Lip segmentation; Morphological operators; Hidden markov model

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

APA (6th Edition):

Lopes, C. B. O. (2013). Detecção visual de atividade de voz com base na movimentação labial. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/72922

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):

Lopes, Carlos Bruno Oliveira. “Detecção visual de atividade de voz com base na movimentação labial.” 2013. Thesis, Universidade do Rio Grande do Sul. Accessed August 08, 2020. http://hdl.handle.net/10183/72922.

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

MLA Handbook (7th Edition):

Lopes, Carlos Bruno Oliveira. “Detecção visual de atividade de voz com base na movimentação labial.” 2013. Web. 08 Aug 2020.

Vancouver:

Lopes CBO. Detecção visual de atividade de voz com base na movimentação labial. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10183/72922.

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

Council of Science Editors:

Lopes CBO. Detecção visual de atividade de voz com base na movimentação labial. [Thesis]. Universidade do Rio Grande do Sul; 2013. Available from: http://hdl.handle.net/10183/72922

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


Wayne State University

30. Cao, Dingzhou. Novel models and algorithms for systems reliability modeling and optimization.

Degree: PhD, Industrial and Manufacturing Engineering, 2011, Wayne State University

  Recent growth in the scale and complexity of products and technologies in the defense and other industries is challenging product development, realization, and sustainment… (more)

Subjects/Keywords: Continuous Time Bayesian Networks; CTBN; Design For Reliability; Epsilon Constraint Method; RAM Modeling; System Design Optimization; Industrial Engineering

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

APA (6th Edition):

Cao, D. (2011). Novel models and algorithms for systems reliability modeling and optimization. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/305

Chicago Manual of Style (16th Edition):

Cao, Dingzhou. “Novel models and algorithms for systems reliability modeling and optimization.” 2011. Doctoral Dissertation, Wayne State University. Accessed August 08, 2020. https://digitalcommons.wayne.edu/oa_dissertations/305.

MLA Handbook (7th Edition):

Cao, Dingzhou. “Novel models and algorithms for systems reliability modeling and optimization.” 2011. Web. 08 Aug 2020.

Vancouver:

Cao D. Novel models and algorithms for systems reliability modeling and optimization. [Internet] [Doctoral dissertation]. Wayne State University; 2011. [cited 2020 Aug 08]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/305.

Council of Science Editors:

Cao D. Novel models and algorithms for systems reliability modeling and optimization. [Doctoral Dissertation]. Wayne State University; 2011. Available from: https://digitalcommons.wayne.edu/oa_dissertations/305

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