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University of Texas – Austin

1.
Xu, Jing, M.S. in Statistics.
Predict house prices using *quantile* * regression*.

Degree: Statistics, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/67630

► *Quantile* *Regression* Model (QRM), introduced by Koenker and Bassett in 1978, is a well-established and widely used technique in theoretical and applied statistics. QRM is…
(more)

Subjects/Keywords: Quantile regression; Variable selection; Bayesian Quantile Regression; Quantile regression forest

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APA (6^{th} Edition):

Xu, Jing, M. S. i. S. (2018). Predict house prices using quantile regression. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/67630

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):

Xu, Jing, M S in Statistics. “Predict house prices using quantile regression.” 2018. Thesis, University of Texas – Austin. Accessed August 23, 2019. http://hdl.handle.net/2152/67630.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Xu, Jing, M S in Statistics. “Predict house prices using quantile regression.” 2018. Web. 23 Aug 2019.

Vancouver:

Xu, Jing MSiS. Predict house prices using quantile regression. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2152/67630.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu, Jing MSiS. Predict house prices using quantile regression. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/67630

Not specified: Masters Thesis or Doctoral Dissertation

Brunel University

2. Bin Muhd Noor, Nik Nooruhafidzi. Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines.

Degree: PhD, 2017, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/16392 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764926

► Buried pipelines are vulnerable to the threat of corrosion. Hence, they are normally coated with a protective coating to isolate the metal substrate from the…
(more)

Subjects/Keywords: Quantile regression; Bayesian quantile regression; Logistic quantile regression; Logistic regression; Pipeline coating defect size estimation

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APA (6^{th} Edition):

Bin Muhd Noor, N. N. (2017). Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/16392 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764926

Chicago Manual of Style (16^{th} Edition):

Bin Muhd Noor, Nik Nooruhafidzi. “Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines.” 2017. Doctoral Dissertation, Brunel University. Accessed August 23, 2019. http://bura.brunel.ac.uk/handle/2438/16392 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764926.

MLA Handbook (7^{th} Edition):

Bin Muhd Noor, Nik Nooruhafidzi. “Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines.” 2017. Web. 23 Aug 2019.

Vancouver:

Bin Muhd Noor NN. Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines. [Internet] [Doctoral dissertation]. Brunel University; 2017. [cited 2019 Aug 23]. Available from: http://bura.brunel.ac.uk/handle/2438/16392 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764926.

Council of Science Editors:

Bin Muhd Noor NN. Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines. [Doctoral Dissertation]. Brunel University; 2017. Available from: http://bura.brunel.ac.uk/handle/2438/16392 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764926

Baylor University

3.
[No author].
Applications of *Bayesian* *quantile* *regression* and sample size determination.

Degree: 2018, Baylor University

URL: http://hdl.handle.net/2104/10372

► *Bayesian* statistical methods reverse the philosophy of traditional statistical practice by treating parameters as random, rather than fixed. In so doing, *Bayesian* methods are able…
(more)

Subjects/Keywords: Bayesian methods. Quantile regression. Sample size determination.

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APA (6^{th} Edition):

author], [. (2018). Applications of Bayesian quantile regression and sample size determination. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10372

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

author], [No. “Applications of Bayesian quantile regression and sample size determination. ” 2018. Thesis, Baylor University. Accessed August 23, 2019. http://hdl.handle.net/2104/10372.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Applications of Bayesian quantile regression and sample size determination. ” 2018. Web. 23 Aug 2019.

Vancouver:

author] [. Applications of Bayesian quantile regression and sample size determination. [Internet] [Thesis]. Baylor University; 2018. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2104/10372.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Applications of Bayesian quantile regression and sample size determination. [Thesis]. Baylor University; 2018. Available from: http://hdl.handle.net/2104/10372

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

4.
Dong, Xiaodan.
* Bayesian* Analysis of Reserving Models and Applications
.

Degree: 2014, University of Sydney

URL: http://hdl.handle.net/2123/13435

► This thesis focuses on developing models for loss reserving in insurance applications. In the first chapter, a *Bayesian* approach is presented in order to model…
(more)

Subjects/Keywords: Bayesian; loss reserving; GB2; Quantile regression; copula

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APA (6^{th} Edition):

Dong, X. (2014). Bayesian Analysis of Reserving Models and Applications . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13435

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Dong, Xiaodan. “Bayesian Analysis of Reserving Models and Applications .” 2014. Thesis, University of Sydney. Accessed August 23, 2019. http://hdl.handle.net/2123/13435.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dong, Xiaodan. “Bayesian Analysis of Reserving Models and Applications .” 2014. Web. 23 Aug 2019.

Vancouver:

Dong X. Bayesian Analysis of Reserving Models and Applications . [Internet] [Thesis]. University of Sydney; 2014. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2123/13435.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dong X. Bayesian Analysis of Reserving Models and Applications . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13435

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

5.
Rodrigues, Thais Carvalho Valadares.
Pyramid *Quantile* * Regression*.

Degree: Mathematics & Statistics, 2017, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/58446 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46045/SOURCE02?view=true

► *Quantile* *regression* models provide a wide picture of the conditional distributions of the response variable by capturing the effect of the covariates at different *quantile*…
(more)

Subjects/Keywords: Crossing quantile regression; Extremal quantile regression; Gaussian process regression; Monotonicity; Nonparametric quantile regression; O'Sullivan penalised splines; Simultaneous quantile regression; O’Sullivan penalised splines , Simultaneous quantile regression; Asymmetric Laplace distribution , Bayesian quantile pyramid , B-Splines , Crossing quantile regression; Extremal quantile regression , Gaussian process regression , Monotonicity , Nonparametric quantile regression

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

APA (6^{th} Edition):

Rodrigues, T. C. V. (2017). Pyramid Quantile Regression. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58446 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46045/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Rodrigues, Thais Carvalho Valadares. “Pyramid Quantile Regression.” 2017. Doctoral Dissertation, University of New South Wales. Accessed August 23, 2019. http://handle.unsw.edu.au/1959.4/58446 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46045/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Rodrigues, Thais Carvalho Valadares. “Pyramid Quantile Regression.” 2017. Web. 23 Aug 2019.

Vancouver:

Rodrigues TCV. Pyramid Quantile Regression. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Aug 23]. Available from: http://handle.unsw.edu.au/1959.4/58446 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46045/SOURCE02?view=true.

Council of Science Editors:

Rodrigues TCV. Pyramid Quantile Regression. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58446 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46045/SOURCE02?view=true

University of South Carolina

6.
Kindo, Bereket P.
* Bayesian* Ensemble of

Degree: PhD, Statistics, 2016, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/3916

► This dissertation proposes multinomial probit *Bayesian* additive *regression* trees (MPBART), ordered multiclass *Bayesian* additive classification trees (O-MBACT) and *Bayesian* *quantile* additive *regression* trees (BayesQArt)…
(more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Bayesian Ensemble; Regression Trees; Multinomial Probit; Quantile Regression

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

APA (6^{th} Edition):

Kindo, B. P. (2016). Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3916

Chicago Manual of Style (16^{th} Edition):

Kindo, Bereket P. “Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression.” 2016. Doctoral Dissertation, University of South Carolina. Accessed August 23, 2019. https://scholarcommons.sc.edu/etd/3916.

MLA Handbook (7^{th} Edition):

Kindo, Bereket P. “Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression.” 2016. Web. 23 Aug 2019.

Vancouver:

Kindo BP. Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Aug 23]. Available from: https://scholarcommons.sc.edu/etd/3916.

Council of Science Editors:

Kindo BP. Bayesian Ensemble of Regression Trees for Multinomial Probit and Quantile Regression. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3916

University of Alberta

7.
Hassan, Imran.
Hierarchical *Quantile* * Regression*.

Degree: MS, Department of Mathematical and Statistical Sciences, 2014, University of Alberta

URL: https://era.library.ualberta.ca/files/m326m3245

► *Quantile* *regression* supplements the ordinary least squares *regression* and provides a complete view of a relationship between a response variable and a set of covariates.…
(more)

Subjects/Keywords: quantile regression; Markov Chain Monte Carlo; asymmetric Laplace distribution; data cloning; Bayesian statistics; hierarchical models

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APA (6^{th} Edition):

Hassan, I. (2014). Hierarchical Quantile Regression. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/m326m3245

Chicago Manual of Style (16^{th} Edition):

Hassan, Imran. “Hierarchical Quantile Regression.” 2014. Masters Thesis, University of Alberta. Accessed August 23, 2019. https://era.library.ualberta.ca/files/m326m3245.

MLA Handbook (7^{th} Edition):

Hassan, Imran. “Hierarchical Quantile Regression.” 2014. Web. 23 Aug 2019.

Vancouver:

Hassan I. Hierarchical Quantile Regression. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2019 Aug 23]. Available from: https://era.library.ualberta.ca/files/m326m3245.

Council of Science Editors:

Hassan I. Hierarchical Quantile Regression. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/m326m3245

Clemson University

8.
Tu, Shiyi.
Objective *Bayesian* analysis on the *quantile* * regression*.

Degree: PhD, Mathematical Science, 2015, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1544

► The dissertation consists of two distinct but related research projects. First of all, we study the *Bayesian* analysis on the two-piece location-scale models, which contain…
(more)

Subjects/Keywords: asymmetric Laplace distribution; Bayesian analysis; Objective priors; quantile regression; Shannon's entropy; Statistics and Probability

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

APA (6^{th} Edition):

Tu, S. (2015). Objective Bayesian analysis on the quantile regression. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1544

Chicago Manual of Style (16^{th} Edition):

Tu, Shiyi. “Objective Bayesian analysis on the quantile regression.” 2015. Doctoral Dissertation, Clemson University. Accessed August 23, 2019. https://tigerprints.clemson.edu/all_dissertations/1544.

MLA Handbook (7^{th} Edition):

Tu, Shiyi. “Objective Bayesian analysis on the quantile regression.” 2015. Web. 23 Aug 2019.

Vancouver:

Tu S. Objective Bayesian analysis on the quantile regression. [Internet] [Doctoral dissertation]. Clemson University; 2015. [cited 2019 Aug 23]. Available from: https://tigerprints.clemson.edu/all_dissertations/1544.

Council of Science Editors:

Tu S. Objective Bayesian analysis on the quantile regression. [Doctoral Dissertation]. Clemson University; 2015. Available from: https://tigerprints.clemson.edu/all_dissertations/1544

University of Southern California

9.
Chang, Chih-Chieh.
* Bayesian* multilevel

Degree: PhD, Biostatistics, 2015, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/532589/rec/1043

► Conventional mixed effects *regression* focuses only on effects on the conditional mean, which may be inappropriate when the interest is in testing the effects on…
(more)

Subjects/Keywords: Bayesian; multilevel modeling; mixed-effect modeling; quantile regression; longitudinal data; childhood obesity

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APA (6^{th} Edition):

Chang, C. (2015). Bayesian multilevel quantile regression for longitudinal data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/532589/rec/1043

Chicago Manual of Style (16^{th} Edition):

Chang, Chih-Chieh. “Bayesian multilevel quantile regression for longitudinal data.” 2015. Doctoral Dissertation, University of Southern California. Accessed August 23, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/532589/rec/1043.

MLA Handbook (7^{th} Edition):

Chang, Chih-Chieh. “Bayesian multilevel quantile regression for longitudinal data.” 2015. Web. 23 Aug 2019.

Vancouver:

Chang C. Bayesian multilevel quantile regression for longitudinal data. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Aug 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/532589/rec/1043.

Council of Science Editors:

Chang C. Bayesian multilevel quantile regression for longitudinal data. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/532589/rec/1043

10.
Chang, Chao.
Nonparametric *Bayesian* *Quantile* *Regression* via Dirichlet Process Mixture Models.

Degree: PhD, Mathematics, 2015, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/art_sci_etds/458

► We propose new nonparametric *Bayesian* approaches to *quantile* *regression* using Dirichlet process mixture (DPM) models. All the existing *quantile* *regression* methods based on DPMs…
(more)

Subjects/Keywords: Dirichlet Process Mixture, Nonparametric Bayesian, Posterior Consistency, Quantile Regression; Mathematics

…My family.
viii
ABSTRACT OF THE DISSERTATION
Nonparametric *Bayesian* *Quantile* *Regression*… …*Bayesian* approaches to *quantile* *regression* using
Dirichlet process mixture (DPM) models… …the idea of *Bayesian* *quantile* *regression* using Dirichlet
process mixture models where our… …*Bayesian* *quantile* *regression* method was proposed in [118]. This parametric approach… …there are other branches of nonparametric *Bayesian*
techniques for *quantile* *regression*. […

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

APA (6^{th} Edition):

Chang, C. (2015). Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/art_sci_etds/458

Chicago Manual of Style (16^{th} Edition):

Chang, Chao. “Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models.” 2015. Doctoral Dissertation, Washington University in St. Louis. Accessed August 23, 2019. https://openscholarship.wustl.edu/art_sci_etds/458.

MLA Handbook (7^{th} Edition):

Chang, Chao. “Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models.” 2015. Web. 23 Aug 2019.

Vancouver:

Chang C. Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2015. [cited 2019 Aug 23]. Available from: https://openscholarship.wustl.edu/art_sci_etds/458.

Council of Science Editors:

Chang C. Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models. [Doctoral Dissertation]. Washington University in St. Louis; 2015. Available from: https://openscholarship.wustl.edu/art_sci_etds/458

University of South Florida

11.
Zhang, Hanze.
* Bayesian* inference on

Degree: 2017, University of South Florida

URL: https://scholarcommons.usf.edu/etd/7456

► In HIV/AIDS studies, viral load (the number of copies of HIV-1 RNA) and CD4 cell counts are important biomarkers of the severity of viral infection,…
(more)

Subjects/Keywords: HIV longitudinal-survival data; quantile regression; nonlinear mixed-effects joint models; partially linear mixed-effects models; Bayesian inference; below detection; measurement error; skewed distributions; Biostatistics

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

APA (6^{th} Edition):

Zhang, H. (2017). Bayesian inference on quantile regression-based mixed-effects joint models for longitudinal-survival data from AIDS studies. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7456

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Zhang, Hanze. “Bayesian inference on quantile regression-based mixed-effects joint models for longitudinal-survival data from AIDS studies.” 2017. Thesis, University of South Florida. Accessed August 23, 2019. https://scholarcommons.usf.edu/etd/7456.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Hanze. “Bayesian inference on quantile regression-based mixed-effects joint models for longitudinal-survival data from AIDS studies.” 2017. Web. 23 Aug 2019.

Vancouver:

Zhang H. Bayesian inference on quantile regression-based mixed-effects joint models for longitudinal-survival data from AIDS studies. [Internet] [Thesis]. University of South Florida; 2017. [cited 2019 Aug 23]. Available from: https://scholarcommons.usf.edu/etd/7456.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang H. Bayesian inference on quantile regression-based mixed-effects joint models for longitudinal-survival data from AIDS studies. [Thesis]. University of South Florida; 2017. Available from: https://scholarcommons.usf.edu/etd/7456

Not specified: Masters Thesis or Doctoral Dissertation

12.
Hashem, Hussein Abdulahman.
Regularized and robust *regression* methods for high dimensional data.

Degree: PhD, 2014, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960

► Recently, variable selection in high-dimensional data has attracted much research interest. Classical stepwise subset selection methods are widely used in practice, but when the number…
(more)

Subjects/Keywords: 519.5; Group lasso; Quantile regression; Binary regression; Tobit regression; Bayesian regression

…*Bayesian* regularized *quantile* *regression* methods with classical
methods on simulated data.
2.4.1… …Comparison of *Bayesian* *quantile* *regression* methods with frequentist methods, for low (left… …over 40 replications) of *Bayesian* binary *quantile* *regression* with group
lasso (… …*Bayesian* tobit *quantile* *regression* with group lasso (
and
*Bayesian* tobit *quantile* *regression*… …*regression* coefficients for *Bayesian*
tobit *quantile* *regression* with group lasso (
and *Bayesian*…

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

APA (6^{th} Edition):

Hashem, H. A. (2014). Regularized and robust regression methods for high dimensional data. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960

Chicago Manual of Style (16^{th} Edition):

Hashem, Hussein Abdulahman. “Regularized and robust regression methods for high dimensional data.” 2014. Doctoral Dissertation, Brunel University. Accessed August 23, 2019. http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960.

MLA Handbook (7^{th} Edition):

Hashem, Hussein Abdulahman. “Regularized and robust regression methods for high dimensional data.” 2014. Web. 23 Aug 2019.

Vancouver:

Hashem HA. Regularized and robust regression methods for high dimensional data. [Internet] [Doctoral dissertation]. Brunel University; 2014. [cited 2019 Aug 23]. Available from: http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960.

Council of Science Editors:

Hashem HA. Regularized and robust regression methods for high dimensional data. [Doctoral Dissertation]. Brunel University; 2014. Available from: http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960

13.
Aristodemou, Katerina.
New *regression* methods for measures of central tendency.

Degree: PhD, 2014, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/9268 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629975

► Measures of central tendency have been widely used for summarising statistical data, with the mean being the most popular summary statistic. However, in reallife applications…
(more)

Subjects/Keywords: 519.5; Mode regression; Bayesian inference; Big data; Gamma distribution; Binary quantile regression

…Mean *Regression* . . . . . . . . . . . . . . . . . . . . . . . . .
3
1.0.2
*Quantile*… …*Quantile* *Regression* . . . . . . . . . . . . . . . . . . .
8
1.2 Contributions… …*Bayesian* Mode *Regression*
13
2.1 Introduction… …13
2.2 *Bayesian* Mode *Regression* . . . . . . . . . . . . . . . . . . . . . . . . 18
2.2.1… …Mode Estimation and Classical Mode *Regression*
. . . . . . . 18
2.2.2
*Bayesian* Inference…

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

APA (6^{th} Edition):

Aristodemou, K. (2014). New regression methods for measures of central tendency. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/9268 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629975

Chicago Manual of Style (16^{th} Edition):

Aristodemou, Katerina. “New regression methods for measures of central tendency.” 2014. Doctoral Dissertation, Brunel University. Accessed August 23, 2019. http://bura.brunel.ac.uk/handle/2438/9268 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629975.

MLA Handbook (7^{th} Edition):

Aristodemou, Katerina. “New regression methods for measures of central tendency.” 2014. Web. 23 Aug 2019.

Vancouver:

Aristodemou K. New regression methods for measures of central tendency. [Internet] [Doctoral dissertation]. Brunel University; 2014. [cited 2019 Aug 23]. Available from: http://bura.brunel.ac.uk/handle/2438/9268 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629975.

Council of Science Editors:

Aristodemou K. New regression methods for measures of central tendency. [Doctoral Dissertation]. Brunel University; 2014. Available from: http://bura.brunel.ac.uk/handle/2438/9268 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629975

14.
Tong, Xin.
* Bayesian* Semiparametric

Degree: PhD, Health Promotion, Education and Behavior, 2016, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/3364

► Traditional frequentist *quantile* *regression* makes few assumptions on the form of the error distribution and thus is able to accommodate non-normal errors. However, inference…
(more)

Subjects/Keywords: Medicine and Health Sciences; Other Public Health; Public Health; Bayesian; semiparametric; quantile regression; clustered data

…provides
a natural way to deal with the *Bayesian* *quantile* *regression* [Yu and Moyeed, 2001… …*Bayesian* *quantile* *regression* model for clustered
interval-censored data with parametric error… …some recommendations
on how to proceed in this *Bayesian* nonparametric *quantile* *regression*… …*quantile* *regression*. Yu and Moyeed [2001] proposed a *Bayesian* approximate
8… …Chapter 2
A *Bayesian* Nonparametric *Quantile* *Regression*
for Repeated Measures with a Flexible…

Record Details Similar Records

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

APA (6^{th} Edition):

Tong, X. (2016). Bayesian Semiparametric Quantile Regression for Clustered Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3364

Chicago Manual of Style (16^{th} Edition):

Tong, Xin. “Bayesian Semiparametric Quantile Regression for Clustered Data.” 2016. Doctoral Dissertation, University of South Carolina. Accessed August 23, 2019. https://scholarcommons.sc.edu/etd/3364.

MLA Handbook (7^{th} Edition):

Tong, Xin. “Bayesian Semiparametric Quantile Regression for Clustered Data.” 2016. Web. 23 Aug 2019.

Vancouver:

Tong X. Bayesian Semiparametric Quantile Regression for Clustered Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Aug 23]. Available from: https://scholarcommons.sc.edu/etd/3364.

Council of Science Editors:

Tong X. Bayesian Semiparametric Quantile Regression for Clustered Data. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3364

15.
Feng, Yang.
*Bayesian**quantile* linear * regression*.

Degree: PhD, 0329, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/24348

► *Quantile* *regression*, as a supplement to the mean *regression*, is often used when a comprehensive relationship between the response variable and the explanatory variables is…
(more)

Subjects/Keywords: Bayesian inference; Markov chain Monte Carlo (MCMC); Quantile regression; Linearly interpolated density (LID)

…the alternative method for the *Bayesian* *quantile* *regression* problem.
2.3.1
MCMC without… …quntile *regression*.
1
1.1
Introduction of *quantile* *regression*
As early as 1755, Boscovich… …x28;1, 1, ..., 1)′ . The above *quantile* *regression*
n
problem is equivalent to a linear… …problem.
can obtain β(τ
1.2
1.2.1
Inference for *quantile* *regression*
Inference based on… …joint asymptotic distribution of the m *quantile*
*regression* estimators ζˆn = (βˆn (τ1…

Record Details Similar Records

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

APA (6^{th} Edition):

Feng, Y. (2011). Bayesian quantile linear regression. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24348

Chicago Manual of Style (16^{th} Edition):

Feng, Yang. “Bayesian quantile linear regression.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 23, 2019. http://hdl.handle.net/2142/24348.

MLA Handbook (7^{th} Edition):

Feng, Yang. “Bayesian quantile linear regression.” 2011. Web. 23 Aug 2019.

Vancouver:

Feng Y. Bayesian quantile linear regression. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2142/24348.

Council of Science Editors:

Feng Y. Bayesian quantile linear regression. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24348

16. Lenormand, Maxime. Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages : Initialize and Calibrate a Dynamic Stochastic Microsimulation Model : application to the SimVillages Model.

Degree: Docteur es, Informatique, 2012, Université Blaise-Pascale, Clermont-Ferrand II

URL: http://www.theses.fr/2012CLF22315

►

Le but de cette thèse est de développer des outils statistiques permettant d'initialiser et de calibrer les modèles de microsimulation dynamique stochastique, en partant de… (more)

Subjects/Keywords: Microsimulation; Modèle Complexe; Modèle Individus Centré; Modèle Stochastique; Calibration; Initialisation; Population Synthétique; Iterative Proportional Updating; Modèle de Réseaux de Navettage; Modèle de Déplacement; Loi de Gravité; Mobilité Humaine; Réseau Spatial; Besoin Minimal; Service de Proximité; Régression Quantile; Municipalité Rurale; Calcul Bayésien Approché; Population Monte Carlo; Sequential Monte Carlo; Microsimulation; Complex Model; Individual Based Models; Stochastic Models; Calibration; Initialisation; Synthetic Population; Sample-Free; Iterative Proportional Updating; Network Generation Models; Commuting Patterns; Commuting Networks; Gravity Law; Human Mobility; Spatial Networks; Minimum Requirement; Proximity Service Jobs; Quantile Regression; Rural Municipality; Approximate Bayesian Computation; Population Monte Carlo; Sequential Monte Carlo

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Lenormand, M. (2012). Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages : Initialize and Calibrate a Dynamic Stochastic Microsimulation Model : application to the SimVillages Model. (Doctoral Dissertation). Université Blaise-Pascale, Clermont-Ferrand II. Retrieved from http://www.theses.fr/2012CLF22315

Chicago Manual of Style (16^{th} Edition):

Lenormand, Maxime. “Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages : Initialize and Calibrate a Dynamic Stochastic Microsimulation Model : application to the SimVillages Model.” 2012. Doctoral Dissertation, Université Blaise-Pascale, Clermont-Ferrand II. Accessed August 23, 2019. http://www.theses.fr/2012CLF22315.

MLA Handbook (7^{th} Edition):

Lenormand, Maxime. “Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages : Initialize and Calibrate a Dynamic Stochastic Microsimulation Model : application to the SimVillages Model.” 2012. Web. 23 Aug 2019.

Vancouver:

Lenormand M. Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages : Initialize and Calibrate a Dynamic Stochastic Microsimulation Model : application to the SimVillages Model. [Internet] [Doctoral dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2012. [cited 2019 Aug 23]. Available from: http://www.theses.fr/2012CLF22315.

Council of Science Editors:

Lenormand M. Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages : Initialize and Calibrate a Dynamic Stochastic Microsimulation Model : application to the SimVillages Model. [Doctoral Dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2012. Available from: http://www.theses.fr/2012CLF22315