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Texas A&M University

1. Zhang, Nan. Adaptive Basis Sampling for Smoothing Splines.

Degree: PhD, Statistics, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/155626

► Smoothing splines provide flexible nonparametric regression estimators. Penalized likelihood method is adopted when responses are from exponential families and multivariate models are constructed with certain…
(more)

Subjects/Keywords: Nonparametric regression; Penalized likelihood; Reproducing kernel Hilbert space

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, N. (2015). Adaptive Basis Sampling for Smoothing Splines. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155626

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

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Doctoral Dissertation, Texas A&M University. Accessed September 25, 2020. http://hdl.handle.net/1969.1/155626.

MLA Handbook (7^{th} Edition):

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Web. 25 Sep 2020.

Vancouver:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1969.1/155626.

Council of Science Editors:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155626

2.
Crawford, Lorin Anthony.
Bayesian *Kernel* Models for Statistical Genetics and Cancer Genomics
.

Degree: 2017, Duke University

URL: http://hdl.handle.net/10161/14539

► The main contribution of this thesis is to examine the utility of *kernel* regression ap- proaches and variance component models for solving complex problems…
(more)

Subjects/Keywords: Statistics; Biostatistics; Genetics; Epistasis; Radiogenomics; Reproducing kernel Hilbert space; Variance Component

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

APA (6^{th} Edition):

Crawford, L. A. (2017). Bayesian Kernel Models for Statistical Genetics and Cancer Genomics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14539

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):

Crawford, Lorin Anthony. “Bayesian Kernel Models for Statistical Genetics and Cancer Genomics .” 2017. Thesis, Duke University. Accessed September 25, 2020. http://hdl.handle.net/10161/14539.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Crawford, Lorin Anthony. “Bayesian Kernel Models for Statistical Genetics and Cancer Genomics .” 2017. Web. 25 Sep 2020.

Vancouver:

Crawford LA. Bayesian Kernel Models for Statistical Genetics and Cancer Genomics . [Internet] [Thesis]. Duke University; 2017. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10161/14539.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Crawford LA. Bayesian Kernel Models for Statistical Genetics and Cancer Genomics . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14539

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3.
Zhan, Xiang.
* Kernel* Machine Methods With Applications to High-throughout Data.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/24895

► Recently, handling large and high-dimensional data has become increasingly important with the rapid development of high-throughput technologies. This is also referred to as ``big data''…
(more)

Subjects/Keywords: Kernel machines; Reproducing kernel Hilbert space; Genome-wide association study; Metabolite differential analysis

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

APA (6^{th} Edition):

Zhan, X. (2015). Kernel Machine Methods With Applications to High-throughout Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24895

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhan, Xiang. “Kernel Machine Methods With Applications to High-throughout Data.” 2015. Thesis, Penn State University. Accessed September 25, 2020. https://submit-etda.libraries.psu.edu/catalog/24895.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhan, Xiang. “Kernel Machine Methods With Applications to High-throughout Data.” 2015. Web. 25 Sep 2020.

Vancouver:

Zhan X. Kernel Machine Methods With Applications to High-throughout Data. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/24895.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhan X. Kernel Machine Methods With Applications to High-throughout Data. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24895

Not specified: Masters Thesis or Doctoral Dissertation

4.
Jordão, Thaís.
Diferenciabilidade em espaços de *Hilbert* de reprodução sobre a esfera.

Degree: PhD, Matemática, 2012, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;

►

Um espaço de *Hilbert* de reprodução (EHR) é um espaço de *Hilbert* de funções construído de maneira específica e única a partir de um núcleo…
(more)

Subjects/Keywords: Diferenciabilidade; Differentiability; Esfera; Espaços de Hilbert de reprodução; Mercer Kernel; Núcleos de Mercer; Reproducing Kernel Hilbert space; Sphere

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

APA (6^{th} Edition):

Jordão, T. (2012). Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;

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

Jordão, Thaís. “Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera.” 2012. Doctoral Dissertation, University of São Paulo. Accessed September 25, 2020. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;.

MLA Handbook (7^{th} Edition):

Jordão, Thaís. “Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera.” 2012. Web. 25 Sep 2020.

Vancouver:

Jordão T. Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2020 Sep 25]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;.

Council of Science Editors:

Jordão T. Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;

Penn State University

5. Mirshani, Ardalan. Regularization Methods In Functional Data Analysis.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16828azm245

► New studies, surveys, and technologies are resulting in ever richer and more informative data sets. With the development of modern technology, Functional data analysis (FDA)…
(more)

Subjects/Keywords: Functional Data; Differential Privacy; Hilbert Space; Variable Selection; Reproducing Kernel Hilbert Space; Oracle Property; Elastic Net; Smooth Estimate; Density Estimation

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

APA (6^{th} Edition):

Mirshani, A. (2019). Regularization Methods In Functional Data Analysis. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16828azm245

Not specified: Masters Thesis or Doctoral Dissertation

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

Mirshani, Ardalan. “Regularization Methods In Functional Data Analysis.” 2019. Thesis, Penn State University. Accessed September 25, 2020. https://submit-etda.libraries.psu.edu/catalog/16828azm245.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mirshani, Ardalan. “Regularization Methods In Functional Data Analysis.” 2019. Web. 25 Sep 2020.

Vancouver:

Mirshani A. Regularization Methods In Functional Data Analysis. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Sep 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/16828azm245.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mirshani A. Regularization Methods In Functional Data Analysis. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16828azm245

Not specified: Masters Thesis or Doctoral Dissertation

University of Rochester

6. Xia, Changming; Liang, Hua. Generalized Semiparametric Linear Mixed-effects Models.

Degree: PhD, 2015, University of Rochester

URL: http://hdl.handle.net/1802/30126

► This dissertation proposes a novel method to compare tumor growth patterns and evaluates treatment effects using semiparametric linear mixed-effects (SLME) model, which allows a flexible…
(more)

Subjects/Keywords: Mixed-effects; Generalized Linear Models; Semiparametric Regression; Generalized Maximum Likelihood; Reproducing Kernel Hilbert Space

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

APA (6^{th} Edition):

Xia, Changming; Liang, H. (2015). Generalized Semiparametric Linear Mixed-effects Models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30126

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

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Doctoral Dissertation, University of Rochester. Accessed September 25, 2020. http://hdl.handle.net/1802/30126.

MLA Handbook (7^{th} Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Web. 25 Sep 2020.

Vancouver:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1802/30126.

Council of Science Editors:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/30126

East Tennessee State University

7.
Agrawal, Devanshu.
The Complete Structure of Linear and Nonlinear Deformations of Frames on a *Hilbert* * Space*.

Degree: MS, Mathematical Sciences, 2016, East Tennessee State University

URL: https://dc.etsu.edu/etd/3003

► A frame is a possibly linearly dependent set of vectors in a *Hilbert* *space* that facilitates the decomposition and reconstruction of vectors. A Parseval…
(more)

Subjects/Keywords: Hilbert Space; Reproducing Kernel; Finite Frame; Gabor Frame; Fiber Bundle; Analysis; Mathematics

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

APA (6^{th} Edition):

Agrawal, D. (2016). The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3003

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

Agrawal, Devanshu. “The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space.” 2016. Masters Thesis, East Tennessee State University. Accessed September 25, 2020. https://dc.etsu.edu/etd/3003.

MLA Handbook (7^{th} Edition):

Agrawal, Devanshu. “The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space.” 2016. Web. 25 Sep 2020.

Vancouver:

Agrawal D. The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space. [Internet] [Masters thesis]. East Tennessee State University; 2016. [cited 2020 Sep 25]. Available from: https://dc.etsu.edu/etd/3003.

Council of Science Editors:

Agrawal D. The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space. [Masters Thesis]. East Tennessee State University; 2016. Available from: https://dc.etsu.edu/etd/3003

Iowa State University

8.
Fortin, Daniel Clayton.
Contributions to modeling spatially indexed functional data using a *reproducing* *kernel* *Hilbert* *space* framework.

Degree: 2015, Iowa State University

URL: https://lib.dr.iastate.edu/etd/14836

► In many instances, it is useful to view data as a collection of curves, particularly when the questions motivating the analysis relate to properties of…
(more)

Subjects/Keywords: Statistics; functional data analysis; geostatistics; reproducing kernel Hilbert space; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Fortin, D. C. (2015). Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14836

Not specified: Masters Thesis or Doctoral Dissertation

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

Fortin, Daniel Clayton. “Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework.” 2015. Thesis, Iowa State University. Accessed September 25, 2020. https://lib.dr.iastate.edu/etd/14836.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Fortin, Daniel Clayton. “Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework.” 2015. Web. 25 Sep 2020.

Vancouver:

Fortin DC. Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Sep 25]. Available from: https://lib.dr.iastate.edu/etd/14836.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fortin DC. Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14836

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

9. Luo, Zhenwei. Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis.

Degree: PhD, Natural Sciences, 2020, Rice University

URL: http://hdl.handle.net/1911/108423

► We presented a new 3D refinement method for Cryo-EM single particle analysis which can improve the resolution of final electron density map in this thesis.…
(more)

Subjects/Keywords: Cryo-EM; 3D reconstruction; ill-posed inverse problem; smoothness; sparsity; reproducing kernel Hilbert space; CUDA

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

APA (6^{th} Edition):

Luo, Z. (2020). Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/108423

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

Luo, Zhenwei. “Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis.” 2020. Doctoral Dissertation, Rice University. Accessed September 25, 2020. http://hdl.handle.net/1911/108423.

MLA Handbook (7^{th} Edition):

Luo, Zhenwei. “Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis.” 2020. Web. 25 Sep 2020.

Vancouver:

Luo Z. Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis. [Internet] [Doctoral dissertation]. Rice University; 2020. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1911/108423.

Council of Science Editors:

Luo Z. Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis. [Doctoral Dissertation]. Rice University; 2020. Available from: http://hdl.handle.net/1911/108423

Texas A&M University

10.
Ren, Haobo.
Functional inverse regression and *reproducing* *kernel* *Hilbert* * space*.

Degree: PhD, Statistics, 2006, Texas A&M University

URL: http://hdl.handle.net/1969.1/4203

► The basic philosophy of Functional Data Analysis (FDA) is to think of the observed data functions as elements of a possibly infinite-dimensional function *space*. Most…
(more)

Subjects/Keywords: Functional data analaysis; Inverse Regression; Reproducing Kernel Hilbert Space

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

APA (6^{th} Edition):

Ren, H. (2006). Functional inverse regression and reproducing kernel Hilbert space. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4203

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

Ren, Haobo. “Functional inverse regression and reproducing kernel Hilbert space.” 2006. Doctoral Dissertation, Texas A&M University. Accessed September 25, 2020. http://hdl.handle.net/1969.1/4203.

MLA Handbook (7^{th} Edition):

Ren, Haobo. “Functional inverse regression and reproducing kernel Hilbert space.” 2006. Web. 25 Sep 2020.

Vancouver:

Ren H. Functional inverse regression and reproducing kernel Hilbert space. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1969.1/4203.

Council of Science Editors:

Ren H. Functional inverse regression and reproducing kernel Hilbert space. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4203

Purdue University

11.
Qu, Simeng.
Functional regression models in the frame work of *reproducing* *kernel* *Hilbert* * space*.

Degree: PhD, Statistics, 2016, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/991

► The aim of this thesis is to systematically investigate some functional regression models for accurately quantifying the effect of functional predictors. In particular, three…
(more)

Subjects/Keywords: Pure sciences; Dictionary learning; Functional Cox model; Functional linear regression; Functional regression; Reproducing kernel Hilbert space; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Qu, S. (2016). Functional regression models in the frame work of reproducing kernel Hilbert space. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/991

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

Qu, Simeng. “Functional regression models in the frame work of reproducing kernel Hilbert space.” 2016. Doctoral Dissertation, Purdue University. Accessed September 25, 2020. https://docs.lib.purdue.edu/open_access_dissertations/991.

MLA Handbook (7^{th} Edition):

Qu, Simeng. “Functional regression models in the frame work of reproducing kernel Hilbert space.” 2016. Web. 25 Sep 2020.

Vancouver:

Qu S. Functional regression models in the frame work of reproducing kernel Hilbert space. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Sep 25]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/991.

Council of Science Editors:

Qu S. Functional regression models in the frame work of reproducing kernel Hilbert space. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/991

12. Sabree, Aqeeb A. Positive definite kernels, harmonic analysis, and boundary spaces: Drury-Arveson theory, and related.

Degree: PhD, Mathematics, 2019, University of Iowa

URL: https://ir.uiowa.edu/etd/7023

► A *reproducing* *kernel* *Hilbert* *space* (RKHS) is a *Hilbert* *space* ℋ of functions with the property that the values f(x) for f ∈ ℋ…
(more)

Subjects/Keywords: Drury Arveson; Fock Space; Hilbert Function Space; Positive Definite Function; Reproducing Kernel; Reproducing Kernel Hilbert Space; Mathematics

…ABSTRACT
A *reproducing* *kernel* *Hilbert* *space* (RKHS) is a *Hilbert* *space* H of… …*reproducing* *kernel*
*Hilbert* *space* has an associated generalized boundary probability *space*. The… …*Hilbert* *space*. This *reproducing* *kernel* *Hilbert* *space* stems from boundary analysis
of the Arveson… …which is also a *reproducing* *kernel* *Hilbert* *space*. The polynomial functions
that are studied in… …positive definite *kernel* or *reproducing*
*kernel* that lives in the *reproducing* *kernel* *Hilbert* *space*…

Record Details Similar Records

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

APA (6^{th} Edition):

Sabree, A. A. (2019). Positive definite kernels, harmonic analysis, and boundary spaces: Drury-Arveson theory, and related. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/7023

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

Sabree, Aqeeb A. “Positive definite kernels, harmonic analysis, and boundary spaces: Drury-Arveson theory, and related.” 2019. Doctoral Dissertation, University of Iowa. Accessed September 25, 2020. https://ir.uiowa.edu/etd/7023.

MLA Handbook (7^{th} Edition):

Sabree, Aqeeb A. “Positive definite kernels, harmonic analysis, and boundary spaces: Drury-Arveson theory, and related.” 2019. Web. 25 Sep 2020.

Vancouver:

Sabree AA. Positive definite kernels, harmonic analysis, and boundary spaces: Drury-Arveson theory, and related. [Internet] [Doctoral dissertation]. University of Iowa; 2019. [cited 2020 Sep 25]. Available from: https://ir.uiowa.edu/etd/7023.

Council of Science Editors:

Sabree AA. Positive definite kernels, harmonic analysis, and boundary spaces: Drury-Arveson theory, and related. [Doctoral Dissertation]. University of Iowa; 2019. Available from: https://ir.uiowa.edu/etd/7023

University of Kentucky

13. Ke, Chenlu. A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS.

Degree: 2019, University of Kentucky

URL: https://uknowledge.uky.edu/statistics_etds/41

► This dissertation has three consecutive topics. First, we propose a novel class of independence measures for testing independence between two random vectors based on the…
(more)

Subjects/Keywords: High dimensional data analysis; Independence; Reproducing Kernel Hilbert Space; Sufficient Dimension Reduction; Sufficient Variable Selection; Categorical Data Analysis; Multivariate Analysis; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Ke, C. (2019). A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/41

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

Ke, Chenlu. “A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS.” 2019. Doctoral Dissertation, University of Kentucky. Accessed September 25, 2020. https://uknowledge.uky.edu/statistics_etds/41.

MLA Handbook (7^{th} Edition):

Ke, Chenlu. “A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS.” 2019. Web. 25 Sep 2020.

Vancouver:

Ke C. A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS. [Internet] [Doctoral dissertation]. University of Kentucky; 2019. [cited 2020 Sep 25]. Available from: https://uknowledge.uky.edu/statistics_etds/41.

Council of Science Editors:

Ke C. A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS. [Doctoral Dissertation]. University of Kentucky; 2019. Available from: https://uknowledge.uky.edu/statistics_etds/41

14. Bui, Thi Thien Trang. Modèle de régression pour des données non-Euclidiennes en grande dimension. Application à la classification de taxons en anatomie computationnelle. : Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy.

Degree: Docteur es, Mathématiques et Applications, 2019, Toulouse, INSA

URL: http://www.theses.fr/2019ISAT0021

►

Dans cette thèse, nous étudions un modèle de régression avec des entrées de type distribution et le problème de test d'hypothèse pour la détection de… (more)

Subjects/Keywords: Régression; Reproduction de l'espace de Hilbert du noyau; Distance de Wasserstein; Émission otoacoustique évoquée transitoire; Taux de séparation; Tests adaptatifs; Méthodes du noyau; Test agrégé; Regression; Reproducing kernel Hilbert space; Wasserstein distance; Transient evoked otoacoustic emission; Separation rates; Adaptive tests; Kernel methods; Aggregated test; 511

Record Details Similar Records

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

APA (6^{th} Edition):

Bui, T. T. T. (2019). Modèle de régression pour des données non-Euclidiennes en grande dimension. Application à la classification de taxons en anatomie computationnelle. : Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy. (Doctoral Dissertation). Toulouse, INSA. Retrieved from http://www.theses.fr/2019ISAT0021

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

Bui, Thi Thien Trang. “Modèle de régression pour des données non-Euclidiennes en grande dimension. Application à la classification de taxons en anatomie computationnelle. : Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy.” 2019. Doctoral Dissertation, Toulouse, INSA. Accessed September 25, 2020. http://www.theses.fr/2019ISAT0021.

MLA Handbook (7^{th} Edition):

Bui, Thi Thien Trang. “Modèle de régression pour des données non-Euclidiennes en grande dimension. Application à la classification de taxons en anatomie computationnelle. : Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy.” 2019. Web. 25 Sep 2020.

Vancouver:

Bui TTT. Modèle de régression pour des données non-Euclidiennes en grande dimension. Application à la classification de taxons en anatomie computationnelle. : Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy. [Internet] [Doctoral dissertation]. Toulouse, INSA; 2019. [cited 2020 Sep 25]. Available from: http://www.theses.fr/2019ISAT0021.

Council of Science Editors:

Bui TTT. Modèle de régression pour des données non-Euclidiennes en grande dimension. Application à la classification de taxons en anatomie computationnelle. : Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy. [Doctoral Dissertation]. Toulouse, INSA; 2019. Available from: http://www.theses.fr/2019ISAT0021

15.
Sangeetha, R.
A Framework for Admissible *Kernel* Function in Support
Vector Machines using Lévy Distribution;.

Degree: Computer Science, 2015, Avinashilingam Deemed University For Women

URL: http://shodhganga.inflibnet.ac.in/handle/10603/36872

►

With the massive amount of data being generated in everyday life it is increasingly important to develop a powerful framework for analysis interpretation and extraction… (more)

Subjects/Keywords: Support vector machine; kernel function; Hilbert space

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APA (6^{th} Edition):

Sangeetha, R. (2015). A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;. (Thesis). Avinashilingam Deemed University For Women. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/36872

Not specified: Masters Thesis or Doctoral Dissertation

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

Sangeetha, R. “A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;.” 2015. Thesis, Avinashilingam Deemed University For Women. Accessed September 25, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/36872.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sangeetha, R. “A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;.” 2015. Web. 25 Sep 2020.

Vancouver:

Sangeetha R. A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;. [Internet] [Thesis]. Avinashilingam Deemed University For Women; 2015. [cited 2020 Sep 25]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36872.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sangeetha R. A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;. [Thesis]. Avinashilingam Deemed University For Women; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36872

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

16.
Kingravi, Hassan.
Reduced-set models for improving the training and execution speed of *kernel* methods.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/51799

► This thesis aims to contribute to the area of *kernel* methods, which are a class of machine learning methods known for their wide applicability and…
(more)

Subjects/Keywords: Machine learning; Kernel methods; Reproducing kernel Hilbert spaces; Adaptive control; Manifold learning; Algorithms; Computer algorithms; Kernel functions; Support vector machines

Record Details Similar Records

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

APA (6^{th} Edition):

Kingravi, H. (2014). Reduced-set models for improving the training and execution speed of kernel methods. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51799

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

Kingravi, Hassan. “Reduced-set models for improving the training and execution speed of kernel methods.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 25, 2020. http://hdl.handle.net/1853/51799.

MLA Handbook (7^{th} Edition):

Kingravi, Hassan. “Reduced-set models for improving the training and execution speed of kernel methods.” 2014. Web. 25 Sep 2020.

Vancouver:

Kingravi H. Reduced-set models for improving the training and execution speed of kernel methods. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1853/51799.

Council of Science Editors:

Kingravi H. Reduced-set models for improving the training and execution speed of kernel methods. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51799

Penn State University

17. Solea, Eftychia. Nonparametric graphical models for functional data.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13763exs392

► This thesis studies the development of graphical models for functional data; that is, graphical models whose observations on the vertices are realizations of random functions.…
(more)

Subjects/Keywords: Additive conditional independence; additive correlation operator; additive precision operator; EEG; fMRI; gaussian graphical model; reproducing kernel Hilbert space.; Functional Principal Component Analysis; Hilbert space- valued random elements; Karhunen-Loeve expansion; Rank Correlation; Rank Transformation.

Record Details Similar Records

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

APA (6^{th} Edition):

Solea, E. (2017). Nonparametric graphical models for functional data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13763exs392

Not specified: Masters Thesis or Doctoral Dissertation

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

Solea, Eftychia. “Nonparametric graphical models for functional data.” 2017. Thesis, Penn State University. Accessed September 25, 2020. https://submit-etda.libraries.psu.edu/catalog/13763exs392.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Solea, Eftychia. “Nonparametric graphical models for functional data.” 2017. Web. 25 Sep 2020.

Vancouver:

Solea E. Nonparametric graphical models for functional data. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Sep 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/13763exs392.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Solea E. Nonparametric graphical models for functional data. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13763exs392

Not specified: Masters Thesis or Doctoral Dissertation

Université Montpellier II

18. Henchiri, Yousri. L'approche Support Vector Machines (SVM) pour le traitement des données fonctionnelles : Support Vector Machines (SVM) for Fonctional Data Analysis.

Degree: Docteur es, Biostatistique, 2013, Université Montpellier II

URL: http://www.theses.fr/2013MON20187

►

L'Analyse des Données Fonctionnelles est un domaine important et dynamique en statistique. Elle offre des outils efficaces et propose de nouveaux développements méthodologiques et théoriques… (more)

Subjects/Keywords: Analyse des Données Fonctionnelles; Support Vector Machines; Quantiles de régression; Apprentissage statistique; Apprentissage supervisé; Espace de Hilbert à noyau reproduisant; Functional Data Analysis; Support Vector Machines; Quantile Regression; Statistical learning; Supervised learning; Reproducing kernel Hilbert space

Record Details Similar Records

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

APA (6^{th} Edition):

Henchiri, Y. (2013). L'approche Support Vector Machines (SVM) pour le traitement des données fonctionnelles : Support Vector Machines (SVM) for Fonctional Data Analysis. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2013MON20187

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

Henchiri, Yousri. “L'approche Support Vector Machines (SVM) pour le traitement des données fonctionnelles : Support Vector Machines (SVM) for Fonctional Data Analysis.” 2013. Doctoral Dissertation, Université Montpellier II. Accessed September 25, 2020. http://www.theses.fr/2013MON20187.

MLA Handbook (7^{th} Edition):

Henchiri, Yousri. “L'approche Support Vector Machines (SVM) pour le traitement des données fonctionnelles : Support Vector Machines (SVM) for Fonctional Data Analysis.” 2013. Web. 25 Sep 2020.

Vancouver:

Henchiri Y. L'approche Support Vector Machines (SVM) pour le traitement des données fonctionnelles : Support Vector Machines (SVM) for Fonctional Data Analysis. [Internet] [Doctoral dissertation]. Université Montpellier II; 2013. [cited 2020 Sep 25]. Available from: http://www.theses.fr/2013MON20187.

Council of Science Editors:

Henchiri Y. L'approche Support Vector Machines (SVM) pour le traitement des données fonctionnelles : Support Vector Machines (SVM) for Fonctional Data Analysis. [Doctoral Dissertation]. Université Montpellier II; 2013. Available from: http://www.theses.fr/2013MON20187

University of Waterloo

19. Martin, Robert. Bandlimited functions, curved manifolds, and self-adjoint extensions of symmetric operators.

Degree: 2008, University of Waterloo

URL: http://hdl.handle.net/10012/3698

► Sampling theory is an active field of research that spans a variety of disciplines from communication engineering to pure mathematics. Sampling theory provides the crucial…
(more)

Subjects/Keywords: applied harmonic analysis; self-adjoint extensions of symmetric operators; Paley-Wiener space; reproducing kernel Hilbert space; manifolds; differential operators

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

APA (6^{th} Edition):

Martin, R. (2008). Bandlimited functions, curved manifolds, and self-adjoint extensions of symmetric operators. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3698

Not specified: Masters Thesis or Doctoral Dissertation

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

Martin, Robert. “Bandlimited functions, curved manifolds, and self-adjoint extensions of symmetric operators.” 2008. Thesis, University of Waterloo. Accessed September 25, 2020. http://hdl.handle.net/10012/3698.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Martin, Robert. “Bandlimited functions, curved manifolds, and self-adjoint extensions of symmetric operators.” 2008. Web. 25 Sep 2020.

Vancouver:

Martin R. Bandlimited functions, curved manifolds, and self-adjoint extensions of symmetric operators. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10012/3698.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martin R. Bandlimited functions, curved manifolds, and self-adjoint extensions of symmetric operators. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/3698

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

20. Shin, Hyejin. Infinite dimensional discrimination and classification.

Degree: PhD, Statistics, 2007, Texas A&M University

URL: http://hdl.handle.net/1969.1/5832

► Modern data collection methods are now frequently returning observations that should be viewed as the result of digitized recording or sampling from stochastic processes rather…
(more)

Subjects/Keywords: Fisher's linear discriminant analysis; Canonical correlation analysis; Stochastic porcesses; Reproducing kernel Hilbert space; Functional data

Record Details Similar Records

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APA (6^{th} Edition):

Shin, H. (2007). Infinite dimensional discrimination and classification. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/5832

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

Shin, Hyejin. “Infinite dimensional discrimination and classification.” 2007. Doctoral Dissertation, Texas A&M University. Accessed September 25, 2020. http://hdl.handle.net/1969.1/5832.

MLA Handbook (7^{th} Edition):

Shin, Hyejin. “Infinite dimensional discrimination and classification.” 2007. Web. 25 Sep 2020.

Vancouver:

Shin H. Infinite dimensional discrimination and classification. [Internet] [Doctoral dissertation]. Texas A&M University; 2007. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1969.1/5832.

Council of Science Editors:

Shin H. Infinite dimensional discrimination and classification. [Doctoral Dissertation]. Texas A&M University; 2007. Available from: http://hdl.handle.net/1969.1/5832

21. Pan, Yue. Currents- and varifolds-based registration of lung vessels and lung surfaces.

Degree: MS, Electrical and Computer Engineering, 2016, University of Iowa

URL: https://ir.uiowa.edu/etd/2257

► This thesis compares and contrasts currents- and varifolds-based diffeomorphic image registration approaches for registering tree-like structures in the lung and surface of the lung.…
(more)

Subjects/Keywords: currents; Diffeomorphic Image Registration; Reproducing Kernel Hilbert Space (RKHS); varifolds; Electrical and Computer Engineering

…possible vector fields
4
W , where W is a *Reproducing* *Kernel* *Hilbert* *Space* (RKHS). In… …possible vector
fields W , where W is a *Reproducing* *Kernel* *Hilbert* *Space* (RKHS)… …connection between a *Hilbert* *space* and its
(continuous) dual *space*. If the underlying… …3.1.2 Sensitivity to the Number/Position of Momenta and the
*Kernel* Size of the RKHS… …deformation *kernel*. . . . . .
27
3.2
SACD Registration error…

Record Details Similar Records

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

APA (6^{th} Edition):

Pan, Y. (2016). Currents- and varifolds-based registration of lung vessels and lung surfaces. (Masters Thesis). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/2257

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

Pan, Yue. “Currents- and varifolds-based registration of lung vessels and lung surfaces.” 2016. Masters Thesis, University of Iowa. Accessed September 25, 2020. https://ir.uiowa.edu/etd/2257.

MLA Handbook (7^{th} Edition):

Pan, Yue. “Currents- and varifolds-based registration of lung vessels and lung surfaces.” 2016. Web. 25 Sep 2020.

Vancouver:

Pan Y. Currents- and varifolds-based registration of lung vessels and lung surfaces. [Internet] [Masters thesis]. University of Iowa; 2016. [cited 2020 Sep 25]. Available from: https://ir.uiowa.edu/etd/2257.

Council of Science Editors:

Pan Y. Currents- and varifolds-based registration of lung vessels and lung surfaces. [Masters Thesis]. University of Iowa; 2016. Available from: https://ir.uiowa.edu/etd/2257

22. Lessig, Christian. Modern Foundations of Light Transport Simulation.

Degree: 2012, University of Toronto

URL: http://hdl.handle.net/1807/32808

►

Light transport simulation aims at the numerical computation of the propagation of visible electromagnetic energy in macroscopic environments. In this thesis, we develop the foundations… (more)

Subjects/Keywords: light transport simulation; geometric mechanics; reproducing kernel Hilbert space; 0756; 0756; 0984

…4 *Reproducing* *Kernel* Bases for Light Transport Simulations
4.1
*Reproducing* *Kernel* Bases… …in applications. Our answer
will be *Hilbert* *space* expansions whose coefficients are… …function values
as expansion coefficients. Moreover, for such *reproducing* *kernel* bases close
to… …idea, and using *reproducing*
*kernel* bases together with Galerkin projection enables us to… …mapping, within a *Hilbert* *space* setting. This provides insight into their working
principles and…

Record Details Similar Records

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

APA (6^{th} Edition):

Lessig, C. (2012). Modern Foundations of Light Transport Simulation. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/32808

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

Lessig, Christian. “Modern Foundations of Light Transport Simulation.” 2012. Doctoral Dissertation, University of Toronto. Accessed September 25, 2020. http://hdl.handle.net/1807/32808.

MLA Handbook (7^{th} Edition):

Lessig, Christian. “Modern Foundations of Light Transport Simulation.” 2012. Web. 25 Sep 2020.

Vancouver:

Lessig C. Modern Foundations of Light Transport Simulation. [Internet] [Doctoral dissertation]. University of Toronto; 2012. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1807/32808.

Council of Science Editors:

Lessig C. Modern Foundations of Light Transport Simulation. [Doctoral Dissertation]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/32808

University of Georgia

23.
Sun, Xiaoxiao.
Nonparametric methods for big and complex datasets under a *reproducing* *kernel* *Hilbert* *space* framework.

Degree: 2018, University of Georgia

URL: http://hdl.handle.net/10724/38552

► Large and complex data have been generated routinely from various sources, for instance, time course biological studies and social media. Classic nonparametric models, such as…
(more)

Subjects/Keywords: smoothing spline ANOVA; smoothing parameters selection; optimal smoothing parameters; function-on-function regression; representer theorem; penalized least squares; reproducing kernel Hilbert space; minimax convergence rate; time course RNA-seq; differentially expressed genes

Record Details Similar Records

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

APA (6^{th} Edition):

Sun, X. (2018). Nonparametric methods for big and complex datasets under a reproducing kernel Hilbert space framework. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38552

Not specified: Masters Thesis or Doctoral Dissertation

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

Sun, Xiaoxiao. “Nonparametric methods for big and complex datasets under a reproducing kernel Hilbert space framework.” 2018. Thesis, University of Georgia. Accessed September 25, 2020. http://hdl.handle.net/10724/38552.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sun, Xiaoxiao. “Nonparametric methods for big and complex datasets under a reproducing kernel Hilbert space framework.” 2018. Web. 25 Sep 2020.

Vancouver:

Sun X. Nonparametric methods for big and complex datasets under a reproducing kernel Hilbert space framework. [Internet] [Thesis]. University of Georgia; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10724/38552.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun X. Nonparametric methods for big and complex datasets under a reproducing kernel Hilbert space framework. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38552

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

24. Taoufik, Bahaeddine. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13392but129

► This thesis is concerned with developing new functional data techniques for high frequency financial applications. Chapter 1 of the thesis introduces Functional Data Analysis (FDA)…
(more)

Subjects/Keywords: Functional Data; Nonlinear Functional Regression; Cross-section of returns; Cumulative intraday returns; Reproducing kernel Hilbert spaces

Record Details Similar Records

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

APA (6^{th} Edition):

Taoufik, B. (2016). FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13392but129

Not specified: Masters Thesis or Doctoral Dissertation

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

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Thesis, Penn State University. Accessed September 25, 2020. https://submit-etda.libraries.psu.edu/catalog/13392but129.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Web. 25 Sep 2020.

Vancouver:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Sep 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129

Not specified: Masters Thesis or Doctoral Dissertation

Iowa State University

25. Dixit, Anand Ulhas. Developments in MCMC diagnostics and sparse Bayesian learning models.

Degree: 2018, Iowa State University

URL: https://lib.dr.iastate.edu/etd/17175

► This dissertation consists of three research articles on the topic of Markov chain Monte Carlo (MCMC) diagnostics and sparse Bayesian learning models. The first article…
(more)

Subjects/Keywords: Geometric ergodicity; Kullback Leibler divergence; Monte Carlo standard error; Posterior impropriety; Relevance vector machine; Reproducing kernel Hilbert spaces; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Dixit, A. U. (2018). Developments in MCMC diagnostics and sparse Bayesian learning models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17175

Not specified: Masters Thesis or Doctoral Dissertation

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

Dixit, Anand Ulhas. “Developments in MCMC diagnostics and sparse Bayesian learning models.” 2018. Thesis, Iowa State University. Accessed September 25, 2020. https://lib.dr.iastate.edu/etd/17175.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dixit, Anand Ulhas. “Developments in MCMC diagnostics and sparse Bayesian learning models.” 2018. Web. 25 Sep 2020.

Vancouver:

Dixit AU. Developments in MCMC diagnostics and sparse Bayesian learning models. [Internet] [Thesis]. Iowa State University; 2018. [cited 2020 Sep 25]. Available from: https://lib.dr.iastate.edu/etd/17175.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dixit AU. Developments in MCMC diagnostics and sparse Bayesian learning models. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/17175

Not specified: Masters Thesis or Doctoral Dissertation

ETH Zürich

26. Butt, Jemil. An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry.

Degree: 2019, ETH Zürich

URL: http://hdl.handle.net/20.500.11850/346619

► *Reproducing* *kernel* *Hilbert* spaces (RKHS) are interpretable as normed spaces of functions furnished with a probability distribution and as such are especially suitable for modelling…
(more)

Subjects/Keywords: Reproducing kernel Hilbert spaces, Geostatistics, Radar interferometry, Adjustment; info:eu-repo/classification/ddc/550; info:eu-repo/classification/ddc/510; Earth sciences; Mathematics

Record Details Similar Records

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

APA (6^{th} Edition):

Butt, J. (2019). An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/346619

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

Butt, Jemil. “An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry.” 2019. Doctoral Dissertation, ETH Zürich. Accessed September 25, 2020. http://hdl.handle.net/20.500.11850/346619.

MLA Handbook (7^{th} Edition):

Butt, Jemil. “An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry.” 2019. Web. 25 Sep 2020.

Vancouver:

Butt J. An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/20.500.11850/346619.

Council of Science Editors:

Butt J. An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry. [Doctoral Dissertation]. ETH Zürich; 2019. Available from: http://hdl.handle.net/20.500.11850/346619

27. Ammanouil, Rita. Contributions au démélange non-supervisé et non-linéaire de données hyperspectrales : Contributions to unsupervised and nonlinear unmixing of hyperspectral data.

Degree: Docteur es, Sciences de l'ingénieur, 2016, Université Côte d'Azur (ComUE)

URL: http://www.theses.fr/2016AZUR4079

►

Le démélange spectral est l’un des problèmes centraux pour l’exploitation des images hyperspectrales. En raison de la faible résolution spatiale des imageurs hyperspectraux en télédetection,… (more)

Subjects/Keywords: Données hyperspectrales; Démélange non-supervisé; Démélange non-linéaire; Algorithme des directions altérnées (ADMM); Régularisation de type groupe lasso; Régularisation avec le Laplacian; Espace de Hilbert à noyau reproduisant (RKHS); Hyperspectral data; Unsupervised unmixing; Nonlinear unmixing; Alternating direction method of multipliers (ADMM); Group lasso regularization; Laplacian regularization; Vector valued reproducing kernel Hilbert space (RKHS)

Record Details Similar Records

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

APA (6^{th} Edition):

Ammanouil, R. (2016). Contributions au démélange non-supervisé et non-linéaire de données hyperspectrales : Contributions to unsupervised and nonlinear unmixing of hyperspectral data. (Doctoral Dissertation). Université Côte d'Azur (ComUE). Retrieved from http://www.theses.fr/2016AZUR4079

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

Ammanouil, Rita. “Contributions au démélange non-supervisé et non-linéaire de données hyperspectrales : Contributions to unsupervised and nonlinear unmixing of hyperspectral data.” 2016. Doctoral Dissertation, Université Côte d'Azur (ComUE). Accessed September 25, 2020. http://www.theses.fr/2016AZUR4079.

MLA Handbook (7^{th} Edition):

Ammanouil, Rita. “Contributions au démélange non-supervisé et non-linéaire de données hyperspectrales : Contributions to unsupervised and nonlinear unmixing of hyperspectral data.” 2016. Web. 25 Sep 2020.

Vancouver:

Ammanouil R. Contributions au démélange non-supervisé et non-linéaire de données hyperspectrales : Contributions to unsupervised and nonlinear unmixing of hyperspectral data. [Internet] [Doctoral dissertation]. Université Côte d'Azur (ComUE); 2016. [cited 2020 Sep 25]. Available from: http://www.theses.fr/2016AZUR4079.

Council of Science Editors:

Ammanouil R. Contributions au démélange non-supervisé et non-linéaire de données hyperspectrales : Contributions to unsupervised and nonlinear unmixing of hyperspectral data. [Doctoral Dissertation]. Université Côte d'Azur (ComUE); 2016. Available from: http://www.theses.fr/2016AZUR4079

Georgia Tech

28.
Mumford, Michael Leslie.
Applications of *reproducing* kernels in *Hilbert* spaces.

Degree: MS, Applied Mathematics, 1972, Georgia Tech

URL: http://hdl.handle.net/1853/28742

Subjects/Keywords: Kernel functions; Hilbert space

Record Details Similar Records

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

APA (6^{th} Edition):

Mumford, M. L. (1972). Applications of reproducing kernels in Hilbert spaces. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28742

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

Mumford, Michael Leslie. “Applications of reproducing kernels in Hilbert spaces.” 1972. Masters Thesis, Georgia Tech. Accessed September 25, 2020. http://hdl.handle.net/1853/28742.

MLA Handbook (7^{th} Edition):

Mumford, Michael Leslie. “Applications of reproducing kernels in Hilbert spaces.” 1972. Web. 25 Sep 2020.

Vancouver:

Mumford ML. Applications of reproducing kernels in Hilbert spaces. [Internet] [Masters thesis]. Georgia Tech; 1972. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1853/28742.

Council of Science Editors:

Mumford ML. Applications of reproducing kernels in Hilbert spaces. [Masters Thesis]. Georgia Tech; 1972. Available from: http://hdl.handle.net/1853/28742

29.
Ferreira, José Claudinei.
Operadores integrais positivos e espaços de *Hilbert* de reprodução.

Degree: PhD, Matemática, 2010, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;

►

Este trabalho é dedicado ao estudo de propriedades teóricas dos operadores integrais positivos em \'L POT. 2(́X; u), quando X é um espaço topológico localmente… (more)

Subjects/Keywords: Decaimento de autovalores; Decay rates of eigenvalues; Espaços de Hilbert de reprodução; Mercer theorem; Núcleos positivos definidos; Positive definite kernels; Reproducing kernel Hilbert spaces; Teorema de Mercer

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ferreira, J. C. (2010). Operadores integrais positivos e espaços de Hilbert de reprodução. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;

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

Ferreira, José Claudinei. “Operadores integrais positivos e espaços de Hilbert de reprodução.” 2010. Doctoral Dissertation, University of São Paulo. Accessed September 25, 2020. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;.

MLA Handbook (7^{th} Edition):

Ferreira, José Claudinei. “Operadores integrais positivos e espaços de Hilbert de reprodução.” 2010. Web. 25 Sep 2020.

Vancouver:

Ferreira JC. Operadores integrais positivos e espaços de Hilbert de reprodução. [Internet] [Doctoral dissertation]. University of São Paulo; 2010. [cited 2020 Sep 25]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;.

Council of Science Editors:

Ferreira JC. Operadores integrais positivos e espaços de Hilbert de reprodução. [Doctoral Dissertation]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;

30.
Barbosa, Victor Simões.
Universalidade e ortogonalidade em espaços de *Hilbert* de reprodução.

Degree: Mestrado, Matemática, 2013, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;

►

Neste trabalho analisamos o papel das funções layout de um núcleo positivo definido K sobre um espaço topológico de Hausdor E com relação a duas… (more)

Subjects/Keywords: Espaços de Hilbert de reprodução; Feature maps; Função layout; Núcleos positivos definidos; Orthogonality; Ortogonalidade; Positive definite Kernels; Reproducing Kernel Hilbert spaces; Universabilidade; Universality

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Barbosa, V. S. (2013). Universalidade e ortogonalidade em espaços de Hilbert de reprodução. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;

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

Barbosa, Victor Simões. “Universalidade e ortogonalidade em espaços de Hilbert de reprodução.” 2013. Masters Thesis, University of São Paulo. Accessed September 25, 2020. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;.

MLA Handbook (7^{th} Edition):

Barbosa, Victor Simões. “Universalidade e ortogonalidade em espaços de Hilbert de reprodução.” 2013. Web. 25 Sep 2020.

Vancouver:

Barbosa VS. Universalidade e ortogonalidade em espaços de Hilbert de reprodução. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Sep 25]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;.

Council of Science Editors:

Barbosa VS. Universalidade e ortogonalidade em espaços de Hilbert de reprodução. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;