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Level: doctoral  Dates: 2015 – 2019

You searched for subject:(regression). Showing records 1 – 30 of 615 total matches.

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University of Hong Kong

1. 段振辰; Duan, Zhenchen. The sample size design in ultrahigh dimensional regression models and extensive simulation validation.

Degree: PhD, 2016, University of Hong Kong

Most of classical regression modeling methods are based on correlation learning. In ultrahigh dimensional scenarios, the correlations between the response variable and all potential predictors… (more)

Subjects/Keywords: Regression analysis

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APA (6th Edition):

段振辰; Duan, Z. (2016). The sample size design in ultrahigh dimensional regression models and extensive simulation validation. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/238346

Chicago Manual of Style (16th Edition):

段振辰; Duan, Zhenchen. “The sample size design in ultrahigh dimensional regression models and extensive simulation validation.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed August 18, 2019. http://hdl.handle.net/10722/238346.

MLA Handbook (7th Edition):

段振辰; Duan, Zhenchen. “The sample size design in ultrahigh dimensional regression models and extensive simulation validation.” 2016. Web. 18 Aug 2019.

Vancouver:

段振辰; Duan Z. The sample size design in ultrahigh dimensional regression models and extensive simulation validation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10722/238346.

Council of Science Editors:

段振辰; Duan Z. The sample size design in ultrahigh dimensional regression models and extensive simulation validation. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/238346


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

 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 (6th 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 (16th 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 18, 2019. http://bura.brunel.ac.uk/handle/2438/16392 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764926.

MLA Handbook (7th Edition):

Bin Muhd Noor, Nik Nooruhafidzi. “Statistical modelling of ECDA data for the prioritisation of defects on buried pipelines.” 2017. Web. 18 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 18]. 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


University of New South Wales

3. Rodrigues, Thais Carvalho Valadares. Pyramid Quantile Regression.

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

 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 (6th 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 (16th Edition):

Rodrigues, Thais Carvalho Valadares. “Pyramid Quantile Regression.” 2017. Doctoral Dissertation, University of New South Wales. Accessed August 18, 2019. http://handle.unsw.edu.au/1959.4/58446 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46045/SOURCE02?view=true.

MLA Handbook (7th Edition):

Rodrigues, Thais Carvalho Valadares. “Pyramid Quantile Regression.” 2017. Web. 18 Aug 2019.

Vancouver:

Rodrigues TCV. Pyramid Quantile Regression. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Aug 18]. 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 Utah

4. Fishbaugh, James. Spatiotemporal modeling of anatomical shape complexes.

Degree: PhD, Computing (School of), 2015, University of Utah

 Statistical analysis of time dependent imaging data is crucial for understanding normal anatomical development as well as disease progression. The most promising studies are of… (more)

Subjects/Keywords: Shape analysis; Shape regression; Spatiotemporal

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APA (6th Edition):

Fishbaugh, J. (2015). Spatiotemporal modeling of anatomical shape complexes. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3709/rec/2233

Chicago Manual of Style (16th Edition):

Fishbaugh, James. “Spatiotemporal modeling of anatomical shape complexes.” 2015. Doctoral Dissertation, University of Utah. Accessed August 18, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3709/rec/2233.

MLA Handbook (7th Edition):

Fishbaugh, James. “Spatiotemporal modeling of anatomical shape complexes.” 2015. Web. 18 Aug 2019.

Vancouver:

Fishbaugh J. Spatiotemporal modeling of anatomical shape complexes. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2019 Aug 18]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3709/rec/2233.

Council of Science Editors:

Fishbaugh J. Spatiotemporal modeling of anatomical shape complexes. [Doctoral Dissertation]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3709/rec/2233


Oregon State University

5. Muzacz, Arien K. The Relationship Between Sexual Orientation Identity and Specific Health Behaviors.

Degree: PhD, Counseling, 2015, Oregon State University

 The American Counseling Association's Code of Ethics states that counselors and counselor trainees must be competent providers of multicultural counseling, able to practice effectively with… (more)

Subjects/Keywords: regression analysis; Sexual orientation

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APA (6th Edition):

Muzacz, A. K. (2015). The Relationship Between Sexual Orientation Identity and Specific Health Behaviors. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/56262

Chicago Manual of Style (16th Edition):

Muzacz, Arien K. “The Relationship Between Sexual Orientation Identity and Specific Health Behaviors.” 2015. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/56262.

MLA Handbook (7th Edition):

Muzacz, Arien K. “The Relationship Between Sexual Orientation Identity and Specific Health Behaviors.” 2015. Web. 18 Aug 2019.

Vancouver:

Muzacz AK. The Relationship Between Sexual Orientation Identity and Specific Health Behaviors. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/56262.

Council of Science Editors:

Muzacz AK. The Relationship Between Sexual Orientation Identity and Specific Health Behaviors. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56262


University of Hong Kong

6. Cai, Wenlong. On Lasso-type estimators under a moving-parameter framework.

Degree: PhD, 2016, University of Hong Kong

Limiting distributions and residual bootstrap methods for Lasso-type regression estimators under a moving parameter framework are investigated in this thesis. In the first part, we… (more)

Subjects/Keywords: Estimation theory; Regression analysis

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APA (6th Edition):

Cai, W. (2016). On Lasso-type estimators under a moving-parameter framework. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/231048

Chicago Manual of Style (16th Edition):

Cai, Wenlong. “On Lasso-type estimators under a moving-parameter framework.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed August 18, 2019. http://hdl.handle.net/10722/231048.

MLA Handbook (7th Edition):

Cai, Wenlong. “On Lasso-type estimators under a moving-parameter framework.” 2016. Web. 18 Aug 2019.

Vancouver:

Cai W. On Lasso-type estimators under a moving-parameter framework. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10722/231048.

Council of Science Editors:

Cai W. On Lasso-type estimators under a moving-parameter framework. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/231048


University of Florida

7. Sk, Minhazul Islam. Automatic Discovery of Latent Clusters in General Regression Models.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

 We present a flexible nonparametric Bayesian framework for automatic detection of local clusters in general regression models. The models are built using techniques that are… (more)

Subjects/Keywords: dirichlet-process  – regression  – statistics

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APA (6th Edition):

Sk, M. I. (2017). Automatic Discovery of Latent Clusters in General Regression Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050875

Chicago Manual of Style (16th Edition):

Sk, Minhazul Islam. “Automatic Discovery of Latent Clusters in General Regression Models.” 2017. Doctoral Dissertation, University of Florida. Accessed August 18, 2019. http://ufdc.ufl.edu/UFE0050875.

MLA Handbook (7th Edition):

Sk, Minhazul Islam. “Automatic Discovery of Latent Clusters in General Regression Models.” 2017. Web. 18 Aug 2019.

Vancouver:

Sk MI. Automatic Discovery of Latent Clusters in General Regression Models. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Aug 18]. Available from: http://ufdc.ufl.edu/UFE0050875.

Council of Science Editors:

Sk MI. Automatic Discovery of Latent Clusters in General Regression Models. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050875


Virginia Tech

8. Zhang, Dengfeng. Latent Class Model in Transportation Study.

Degree: PhD, Statistics, 2015, Virginia Tech

 Statistics, as a critical component in transportation research, has been widely used to analyze driver safety, travel time, traffic flow and numerous other problems. Many… (more)

Subjects/Keywords: Transportation; Mixture model; Quantile regression

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APA (6th Edition):

Zhang, D. (2015). Latent Class Model in Transportation Study. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51203

Chicago Manual of Style (16th Edition):

Zhang, Dengfeng. “Latent Class Model in Transportation Study.” 2015. Doctoral Dissertation, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/51203.

MLA Handbook (7th Edition):

Zhang, Dengfeng. “Latent Class Model in Transportation Study.” 2015. Web. 18 Aug 2019.

Vancouver:

Zhang D. Latent Class Model in Transportation Study. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/51203.

Council of Science Editors:

Zhang D. Latent Class Model in Transportation Study. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51203


University of Minnesota

9. Flores, Mauricio. Algorithms for Semisupervised learning on graphs.

Degree: PhD, Mathematics, 2018, University of Minnesota

 Laplacian regularization has been extensively used in a wide variety of semi-supervised learning tasks over the past fifteen years. In recent years, limitations of the… (more)

Subjects/Keywords: Classification; Machine Learning; Regression

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APA (6th Edition):

Flores, M. (2018). Algorithms for Semisupervised learning on graphs. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/202202

Chicago Manual of Style (16th Edition):

Flores, Mauricio. “Algorithms for Semisupervised learning on graphs.” 2018. Doctoral Dissertation, University of Minnesota. Accessed August 18, 2019. http://hdl.handle.net/11299/202202.

MLA Handbook (7th Edition):

Flores, Mauricio. “Algorithms for Semisupervised learning on graphs.” 2018. Web. 18 Aug 2019.

Vancouver:

Flores M. Algorithms for Semisupervised learning on graphs. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/11299/202202.

Council of Science Editors:

Flores M. Algorithms for Semisupervised learning on graphs. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/202202


University of North Carolina – Greensboro

10. Zatezalo, Tanja. Generalized mixture estimators for the finite population mean.

Degree: 2016, University of North Carolina – Greensboro

 The first order approximation of the theoretical mean square error and assumption of bivariate normality are very often used for the ratio type estimators for… (more)

Subjects/Keywords: Estimation theory; Regression analysis

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APA (6th Edition):

Zatezalo, T. (2016). Generalized mixture estimators for the finite population mean. (Doctoral Dissertation). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396

Chicago Manual of Style (16th Edition):

Zatezalo, Tanja. “Generalized mixture estimators for the finite population mean.” 2016. Doctoral Dissertation, University of North Carolina – Greensboro. Accessed August 18, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396.

MLA Handbook (7th Edition):

Zatezalo, Tanja. “Generalized mixture estimators for the finite population mean.” 2016. Web. 18 Aug 2019.

Vancouver:

Zatezalo T. Generalized mixture estimators for the finite population mean. [Internet] [Doctoral dissertation]. University of North Carolina – Greensboro; 2016. [cited 2019 Aug 18]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396.

Council of Science Editors:

Zatezalo T. Generalized mixture estimators for the finite population mean. [Doctoral Dissertation]. University of North Carolina – Greensboro; 2016. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396


Columbia University

11. Weng, Haolei. A unified view of high-dimensional bridge regression.

Degree: 2017, Columbia University

 In many application areas ranging from bioinformatics to imaging, we are interested in recovering a sparse coefficient in the high-dimensional linear model, when the sample… (more)

Subjects/Keywords: Statistics; Regression analysis; Mathematics

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APA (6th Edition):

Weng, H. (2017). A unified view of high-dimensional bridge regression. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D82V2THP

Chicago Manual of Style (16th Edition):

Weng, Haolei. “A unified view of high-dimensional bridge regression.” 2017. Doctoral Dissertation, Columbia University. Accessed August 18, 2019. https://doi.org/10.7916/D82V2THP.

MLA Handbook (7th Edition):

Weng, Haolei. “A unified view of high-dimensional bridge regression.” 2017. Web. 18 Aug 2019.

Vancouver:

Weng H. A unified view of high-dimensional bridge regression. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Aug 18]. Available from: https://doi.org/10.7916/D82V2THP.

Council of Science Editors:

Weng H. A unified view of high-dimensional bridge regression. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D82V2THP


Columbia University

12. Park, Hyung. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors.

Degree: 2018, Columbia University

 In this dissertation, we develop regression models for estimating interactions between a treatment variable and a set of baseline predictors in their eect on the… (more)

Subjects/Keywords: Biometry; Regression analysis; Therapeutics; Statistics

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APA (6th Edition):

Park, H. (2018). Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8GJ11HD

Chicago Manual of Style (16th Edition):

Park, Hyung. “Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors.” 2018. Doctoral Dissertation, Columbia University. Accessed August 18, 2019. https://doi.org/10.7916/D8GJ11HD.

MLA Handbook (7th Edition):

Park, Hyung. “Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors.” 2018. Web. 18 Aug 2019.

Vancouver:

Park H. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Aug 18]. Available from: https://doi.org/10.7916/D8GJ11HD.

Council of Science Editors:

Park H. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8GJ11HD


Victoria University of Wellington

13. Chen, Qi. Improving the Generalisation of Genetic Programming for Symbolic Regression.

Degree: 2018, Victoria University of Wellington

 Symbolic regression (SR) is a function identification process, the task of which is to identify and express the relationship between the input and output variables… (more)

Subjects/Keywords: Genetic Programming; Symbolic regression; Generalisation

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APA (6th Edition):

Chen, Q. (2018). Improving the Generalisation of Genetic Programming for Symbolic Regression. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/7029

Chicago Manual of Style (16th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed August 18, 2019. http://hdl.handle.net/10063/7029.

MLA Handbook (7th Edition):

Chen, Qi. “Improving the Generalisation of Genetic Programming for Symbolic Regression.” 2018. Web. 18 Aug 2019.

Vancouver:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10063/7029.

Council of Science Editors:

Chen Q. Improving the Generalisation of Genetic Programming for Symbolic Regression. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/7029

14. Lewis, John. Learning from the Artist: Theory and Practice of Example-Based Character Deformation.

Degree: 2016, Victoria University of Wellington

 Movie and game production is very laborious, frequently involving hundreds of person-years for a single project. At present this work is difficult to fully automate,… (more)

Subjects/Keywords: Character animation; Computer graphics; Regression

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APA (6th Edition):

Lewis, J. (2016). Learning from the Artist: Theory and Practice of Example-Based Character Deformation. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5255

Chicago Manual of Style (16th Edition):

Lewis, John. “Learning from the Artist: Theory and Practice of Example-Based Character Deformation.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed August 18, 2019. http://hdl.handle.net/10063/5255.

MLA Handbook (7th Edition):

Lewis, John. “Learning from the Artist: Theory and Practice of Example-Based Character Deformation.” 2016. Web. 18 Aug 2019.

Vancouver:

Lewis J. Learning from the Artist: Theory and Practice of Example-Based Character Deformation. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10063/5255.

Council of Science Editors:

Lewis J. Learning from the Artist: Theory and Practice of Example-Based Character Deformation. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5255


University of Arizona

15. Clutter, Melissa Jean. Designing Robust Measurement Networks Using Universal Multiple Linear Regression .

Degree: 2019, University of Arizona

 Collecting hydrological data is essential for understanding system behavior and processes; without it, there is no basis for predictive modeling or risk assessment. Unfortunately, limited… (more)

Subjects/Keywords: design; linear regression; measurement; optimization

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APA (6th Edition):

Clutter, M. J. (2019). Designing Robust Measurement Networks Using Universal Multiple Linear Regression . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/633093

Chicago Manual of Style (16th Edition):

Clutter, Melissa Jean. “Designing Robust Measurement Networks Using Universal Multiple Linear Regression .” 2019. Doctoral Dissertation, University of Arizona. Accessed August 18, 2019. http://hdl.handle.net/10150/633093.

MLA Handbook (7th Edition):

Clutter, Melissa Jean. “Designing Robust Measurement Networks Using Universal Multiple Linear Regression .” 2019. Web. 18 Aug 2019.

Vancouver:

Clutter MJ. Designing Robust Measurement Networks Using Universal Multiple Linear Regression . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10150/633093.

Council of Science Editors:

Clutter MJ. Designing Robust Measurement Networks Using Universal Multiple Linear Regression . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633093


University of Oxford

16. Gray-Davies, Tristan Daniel. Scalable Bayesian regression utilising marginal information.

Degree: PhD, 2017, University of Oxford

 This thesis explores approaches to regression that utilise the treatment of covariates as random variables. The distribution of covariates, along with the conditional regression model… (more)

Subjects/Keywords: 519.5; Regression; Bayesian; Bayesian Nonparametrics

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APA (6th Edition):

Gray-Davies, T. D. (2017). Scalable Bayesian regression utilising marginal information. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396

Chicago Manual of Style (16th Edition):

Gray-Davies, Tristan Daniel. “Scalable Bayesian regression utilising marginal information.” 2017. Doctoral Dissertation, University of Oxford. Accessed August 18, 2019. https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396.

MLA Handbook (7th Edition):

Gray-Davies, Tristan Daniel. “Scalable Bayesian regression utilising marginal information.” 2017. Web. 18 Aug 2019.

Vancouver:

Gray-Davies TD. Scalable Bayesian regression utilising marginal information. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Aug 18]. Available from: https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396.

Council of Science Editors:

Gray-Davies TD. Scalable Bayesian regression utilising marginal information. [Doctoral Dissertation]. University of Oxford; 2017. Available from: https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396


University of Wollongong

17. Riyapan, Preeya. Model choices for complex survey analysis.

Degree: PhD, 2016, University of Wollongong

  Survey data are an important source of information for modern society. However, the complex structures of modern populations require sampling designs for surveys that… (more)

Subjects/Keywords: model choices; complex survey; population modelling; linear regression; logistic regression

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APA (6th Edition):

Riyapan, P. (2016). Model choices for complex survey analysis. (Doctoral Dissertation). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/4670

Chicago Manual of Style (16th Edition):

Riyapan, Preeya. “Model choices for complex survey analysis.” 2016. Doctoral Dissertation, University of Wollongong. Accessed August 18, 2019. ; https://ro.uow.edu.au/theses/4670.

MLA Handbook (7th Edition):

Riyapan, Preeya. “Model choices for complex survey analysis.” 2016. Web. 18 Aug 2019.

Vancouver:

Riyapan P. Model choices for complex survey analysis. [Internet] [Doctoral dissertation]. University of Wollongong; 2016. [cited 2019 Aug 18]. Available from: ; https://ro.uow.edu.au/theses/4670.

Council of Science Editors:

Riyapan P. Model choices for complex survey analysis. [Doctoral Dissertation]. University of Wollongong; 2016. Available from: ; https://ro.uow.edu.au/theses/4670


University of Manchester

18. Raza, Ali. Essays on Trade, Growth, and Inequality.

Degree: 2018, University of Manchester

 This thesis explores the role of openness to international trade on economic development, characterised by economic growth and income inequality, across countries. The existing empirical… (more)

Subjects/Keywords: Economic Growth; Income Inequality; Nonlinearities; Nonparametric Regression; Schooling; Threshold Regression; Trade.

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APA (6th Edition):

Raza, A. (2018). Essays on Trade, Growth, and Inequality. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:317684

Chicago Manual of Style (16th Edition):

Raza, Ali. “Essays on Trade, Growth, and Inequality.” 2018. Doctoral Dissertation, University of Manchester. Accessed August 18, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:317684.

MLA Handbook (7th Edition):

Raza, Ali. “Essays on Trade, Growth, and Inequality.” 2018. Web. 18 Aug 2019.

Vancouver:

Raza A. Essays on Trade, Growth, and Inequality. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Aug 18]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:317684.

Council of Science Editors:

Raza A. Essays on Trade, Growth, and Inequality. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:317684


Texas A&M University

19. Wu, Lingtao. Examining the Use of Regression Models for Developing Crash Modification Factors.

Degree: PhD, Civil Engineering, 2016, Texas A&M University

 Crash modification factors (CMFs) can be used to capture the safety effects of countermeasures and play significant roles in traffic safety management. The before-after study… (more)

Subjects/Keywords: traffic safety; crash modification factors; regression model

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APA (6th Edition):

Wu, L. (2016). Examining the Use of Regression Models for Developing Crash Modification Factors. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156822

Chicago Manual of Style (16th Edition):

Wu, Lingtao. “Examining the Use of Regression Models for Developing Crash Modification Factors.” 2016. Doctoral Dissertation, Texas A&M University. Accessed August 18, 2019. http://hdl.handle.net/1969.1/156822.

MLA Handbook (7th Edition):

Wu, Lingtao. “Examining the Use of Regression Models for Developing Crash Modification Factors.” 2016. Web. 18 Aug 2019.

Vancouver:

Wu L. Examining the Use of Regression Models for Developing Crash Modification Factors. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1969.1/156822.

Council of Science Editors:

Wu L. Examining the Use of Regression Models for Developing Crash Modification Factors. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156822


University of Alberta

20. Zhi, Shuai. Host/niche adaptation and specificity in Escherichia coli.

Degree: PhD, School of Public Health, 2016, University of Alberta

 Patterns of microbial host specificity have been observed at all host-related taxonomic levels, and several studies have demonstrated that Escherichia coli (E. coli) appears to… (more)

Subjects/Keywords: host specificity; Escherichia coli; logic regression; wastewater

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APA (6th Edition):

Zhi, S. (2016). Host/niche adaptation and specificity in Escherichia coli. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c8s45q905s

Chicago Manual of Style (16th Edition):

Zhi, Shuai. “Host/niche adaptation and specificity in Escherichia coli.” 2016. Doctoral Dissertation, University of Alberta. Accessed August 18, 2019. https://era.library.ualberta.ca/files/c8s45q905s.

MLA Handbook (7th Edition):

Zhi, Shuai. “Host/niche adaptation and specificity in Escherichia coli.” 2016. Web. 18 Aug 2019.

Vancouver:

Zhi S. Host/niche adaptation and specificity in Escherichia coli. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2019 Aug 18]. Available from: https://era.library.ualberta.ca/files/c8s45q905s.

Council of Science Editors:

Zhi S. Host/niche adaptation and specificity in Escherichia coli. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c8s45q905s

21. Mahmood, Arshad. Rainfall prediction in Australia : Clusterwise linear regression approach.

Degree: PhD, 2017, Federation University Australia

 Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be… (more)

Subjects/Keywords: Accurate rainfall prediction; Clusterwise linear regression; Australia

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APA (6th Edition):

Mahmood, A. (2017). Rainfall prediction in Australia : Clusterwise linear regression approach. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196

Chicago Manual of Style (16th Edition):

Mahmood, Arshad. “Rainfall prediction in Australia : Clusterwise linear regression approach.” 2017. Doctoral Dissertation, Federation University Australia. Accessed August 18, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196.

MLA Handbook (7th Edition):

Mahmood, Arshad. “Rainfall prediction in Australia : Clusterwise linear regression approach.” 2017. Web. 18 Aug 2019.

Vancouver:

Mahmood A. Rainfall prediction in Australia : Clusterwise linear regression approach. [Internet] [Doctoral dissertation]. Federation University Australia; 2017. [cited 2019 Aug 18]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196.

Council of Science Editors:

Mahmood A. Rainfall prediction in Australia : Clusterwise linear regression approach. [Doctoral Dissertation]. Federation University Australia; 2017. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196


Virginia Tech

22. McDonald, Walter Miller. Stormwater Monitoring: Evaluation of Uncertainty due to Inadequate Temporal Sampling and Applications for Engineering Education.

Degree: PhD, Civil and Environmental Engineering, 2016, Virginia Tech

 The world is faced with uncertain and dramatic changes in water movement, availability, and quality are due to human-induced stressors such as population growth, climatic… (more)

Subjects/Keywords: stormwater; data uncertainty; regional regression; engineering education

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

APA (6th Edition):

McDonald, W. M. (2016). Stormwater Monitoring: Evaluation of Uncertainty due to Inadequate Temporal Sampling and Applications for Engineering Education. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71696

Chicago Manual of Style (16th Edition):

McDonald, Walter Miller. “Stormwater Monitoring: Evaluation of Uncertainty due to Inadequate Temporal Sampling and Applications for Engineering Education.” 2016. Doctoral Dissertation, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/71696.

MLA Handbook (7th Edition):

McDonald, Walter Miller. “Stormwater Monitoring: Evaluation of Uncertainty due to Inadequate Temporal Sampling and Applications for Engineering Education.” 2016. Web. 18 Aug 2019.

Vancouver:

McDonald WM. Stormwater Monitoring: Evaluation of Uncertainty due to Inadequate Temporal Sampling and Applications for Engineering Education. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/71696.

Council of Science Editors:

McDonald WM. Stormwater Monitoring: Evaluation of Uncertainty due to Inadequate Temporal Sampling and Applications for Engineering Education. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71696


University of Minnesota

23. Park, Kyungin. Using Multiple Regression to Ascertain Group Differences in the Relationship of Predictors to a Criterion: Ethnic Group Differences in the Relationship between Course-taking and Achievement in Mathematics.

Degree: PhD, Educational Psychology, 2018, University of Minnesota

 This study introduces an approach that utilizes ten regression models to assist in the study of the relationship between predictors and a criterion as it… (more)

Subjects/Keywords: Achievement Gaps; Ethnicity; Mathematics; Regression Models; Statistics

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APA (6th Edition):

Park, K. (2018). Using Multiple Regression to Ascertain Group Differences in the Relationship of Predictors to a Criterion: Ethnic Group Differences in the Relationship between Course-taking and Achievement in Mathematics. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201673

Chicago Manual of Style (16th Edition):

Park, Kyungin. “Using Multiple Regression to Ascertain Group Differences in the Relationship of Predictors to a Criterion: Ethnic Group Differences in the Relationship between Course-taking and Achievement in Mathematics.” 2018. Doctoral Dissertation, University of Minnesota. Accessed August 18, 2019. http://hdl.handle.net/11299/201673.

MLA Handbook (7th Edition):

Park, Kyungin. “Using Multiple Regression to Ascertain Group Differences in the Relationship of Predictors to a Criterion: Ethnic Group Differences in the Relationship between Course-taking and Achievement in Mathematics.” 2018. Web. 18 Aug 2019.

Vancouver:

Park K. Using Multiple Regression to Ascertain Group Differences in the Relationship of Predictors to a Criterion: Ethnic Group Differences in the Relationship between Course-taking and Achievement in Mathematics. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/11299/201673.

Council of Science Editors:

Park K. Using Multiple Regression to Ascertain Group Differences in the Relationship of Predictors to a Criterion: Ethnic Group Differences in the Relationship between Course-taking and Achievement in Mathematics. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201673


Colorado State University

24. Kim, Soo Young. Improved inference in heteroskedastic regression models with monotone variance function estimation.

Degree: PhD, Statistics, 2019, Colorado State University

 The problems associated with heteroskedasticity often lead to incorrect inferences in a regression model, especially when the form of the heteroskedasticity is obscure. In this… (more)

Subjects/Keywords: Convergence rate; Cone projection; Regression splines

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APA (6th Edition):

Kim, S. Y. (2019). Improved inference in heteroskedastic regression models with monotone variance function estimation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193107

Chicago Manual of Style (16th Edition):

Kim, Soo Young. “Improved inference in heteroskedastic regression models with monotone variance function estimation.” 2019. Doctoral Dissertation, Colorado State University. Accessed August 18, 2019. http://hdl.handle.net/10217/193107.

MLA Handbook (7th Edition):

Kim, Soo Young. “Improved inference in heteroskedastic regression models with monotone variance function estimation.” 2019. Web. 18 Aug 2019.

Vancouver:

Kim SY. Improved inference in heteroskedastic regression models with monotone variance function estimation. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10217/193107.

Council of Science Editors:

Kim SY. Improved inference in heteroskedastic regression models with monotone variance function estimation. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/193107


Columbia University

25. Chen, Yakuan. Methods for functional regression and nonlinear mixed-effects models with applications to PET data.

Degree: 2017, Columbia University

 The overall theme of this thesis focuses on methods for functional regression and nonlinear mixed-effects models with applications to PET data. The first part considers… (more)

Subjects/Keywords: Biometry; Regression analysis; Multilevel models (Statistics); Statistics

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APA (6th Edition):

Chen, Y. (2017). Methods for functional regression and nonlinear mixed-effects models with applications to PET data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D87W6QJ9

Chicago Manual of Style (16th Edition):

Chen, Yakuan. “Methods for functional regression and nonlinear mixed-effects models with applications to PET data.” 2017. Doctoral Dissertation, Columbia University. Accessed August 18, 2019. https://doi.org/10.7916/D87W6QJ9.

MLA Handbook (7th Edition):

Chen, Yakuan. “Methods for functional regression and nonlinear mixed-effects models with applications to PET data.” 2017. Web. 18 Aug 2019.

Vancouver:

Chen Y. Methods for functional regression and nonlinear mixed-effects models with applications to PET data. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Aug 18]. Available from: https://doi.org/10.7916/D87W6QJ9.

Council of Science Editors:

Chen Y. Methods for functional regression and nonlinear mixed-effects models with applications to PET data. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D87W6QJ9


Columbia University

26. Patra, Rohit Kumar. Semiparametric inference with shape constraints.

Degree: 2016, Columbia University

 This thesis deals with estimation and inference in two semiparametric problems: a two-component mixture model and a single index regression model. For the two-component mixture… (more)

Subjects/Keywords: Regression analysis; Mathematical statistics; Probabilities; Statistics; Statistics

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

APA (6th Edition):

Patra, R. K. (2016). Semiparametric inference with shape constraints. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D88C9WGR

Chicago Manual of Style (16th Edition):

Patra, Rohit Kumar. “Semiparametric inference with shape constraints.” 2016. Doctoral Dissertation, Columbia University. Accessed August 18, 2019. https://doi.org/10.7916/D88C9WGR.

MLA Handbook (7th Edition):

Patra, Rohit Kumar. “Semiparametric inference with shape constraints.” 2016. Web. 18 Aug 2019.

Vancouver:

Patra RK. Semiparametric inference with shape constraints. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Aug 18]. Available from: https://doi.org/10.7916/D88C9WGR.

Council of Science Editors:

Patra RK. Semiparametric inference with shape constraints. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D88C9WGR


University of Waikato

27. Ajmal, Hamza. Examination of IPO Mispricing in Four Markets .

Degree: 2018, University of Waikato

 The apparent anomaly that initial public offerings (IPOs) are mispriced across time and markets has been a focus of academic research for over four decades.… (more)

Subjects/Keywords: IPOs; mispricing; skewness; quantile regression; underpricing; overpricing

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APA (6th Edition):

Ajmal, H. (2018). Examination of IPO Mispricing in Four Markets . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/12133

Chicago Manual of Style (16th Edition):

Ajmal, Hamza. “Examination of IPO Mispricing in Four Markets .” 2018. Doctoral Dissertation, University of Waikato. Accessed August 18, 2019. http://hdl.handle.net/10289/12133.

MLA Handbook (7th Edition):

Ajmal, Hamza. “Examination of IPO Mispricing in Four Markets .” 2018. Web. 18 Aug 2019.

Vancouver:

Ajmal H. Examination of IPO Mispricing in Four Markets . [Internet] [Doctoral dissertation]. University of Waikato; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10289/12133.

Council of Science Editors:

Ajmal H. Examination of IPO Mispricing in Four Markets . [Doctoral Dissertation]. University of Waikato; 2018. Available from: http://hdl.handle.net/10289/12133


Texas Tech University

28. Prematilake, Chalani. Prediction of lower bounds of the number of sampling points for approximating shapes of planar contours.

Degree: PhD, Statistics, 2016, Texas Tech University

 As a result of rapid advancements of technology, high dimensional data can be easily found almost everywhere. One type of such data is the shape… (more)

Subjects/Keywords: Statistical Shape Analysis; Regression; Manifolds in Statistics

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APA (6th Edition):

Prematilake, C. (2016). Prediction of lower bounds of the number of sampling points for approximating shapes of planar contours. (Doctoral Dissertation). Texas Tech University. Retrieved from http://hdl.handle.net/2346/73704

Chicago Manual of Style (16th Edition):

Prematilake, Chalani. “Prediction of lower bounds of the number of sampling points for approximating shapes of planar contours.” 2016. Doctoral Dissertation, Texas Tech University. Accessed August 18, 2019. http://hdl.handle.net/2346/73704.

MLA Handbook (7th Edition):

Prematilake, Chalani. “Prediction of lower bounds of the number of sampling points for approximating shapes of planar contours.” 2016. Web. 18 Aug 2019.

Vancouver:

Prematilake C. Prediction of lower bounds of the number of sampling points for approximating shapes of planar contours. [Internet] [Doctoral dissertation]. Texas Tech University; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/2346/73704.

Council of Science Editors:

Prematilake C. Prediction of lower bounds of the number of sampling points for approximating shapes of planar contours. [Doctoral Dissertation]. Texas Tech University; 2016. Available from: http://hdl.handle.net/2346/73704


Colorado State University

29. Hunter, Brett D. Modeling the upper tail of the distribution of facial recognition non-match scores.

Degree: PhD, Statistics, 2016, Colorado State University

 In facial recognition applications, the upper tail of the distribution of non-match scores is of interest because existing algorithms classify a pair of images as… (more)

Subjects/Keywords: M-estimation; generalized Pareto; quantile regression

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APA (6th Edition):

Hunter, B. D. (2016). Modeling the upper tail of the distribution of facial recognition non-match scores. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173379

Chicago Manual of Style (16th Edition):

Hunter, Brett D. “Modeling the upper tail of the distribution of facial recognition non-match scores.” 2016. Doctoral Dissertation, Colorado State University. Accessed August 18, 2019. http://hdl.handle.net/10217/173379.

MLA Handbook (7th Edition):

Hunter, Brett D. “Modeling the upper tail of the distribution of facial recognition non-match scores.” 2016. Web. 18 Aug 2019.

Vancouver:

Hunter BD. Modeling the upper tail of the distribution of facial recognition non-match scores. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10217/173379.

Council of Science Editors:

Hunter BD. Modeling the upper tail of the distribution of facial recognition non-match scores. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173379


University of Notre Dame

30. Patrick J. Miller. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.

Degree: PhD, Psychology, 2017, University of Notre Dame

  The problem of finding structure in big data sets is becoming increasingly relevant to psychologists as it becomes easier and cheaper to collect data… (more)

Subjects/Keywords: nonparametric regression; nonlinear; Boosted decision trees

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APA (6th Edition):

Miller, P. J. (2017). Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/qz20sq89x8q

Chicago Manual of Style (16th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed August 18, 2019. https://curate.nd.edu/show/qz20sq89x8q.

MLA Handbook (7th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Web. 18 Aug 2019.

Vancouver:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2019 Aug 18]. Available from: https://curate.nd.edu/show/qz20sq89x8q.

Council of Science Editors:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Doctoral Dissertation]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/qz20sq89x8q

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