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- University of Michigan (17)
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- Penn State University (11)

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- Statistics (34)
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University of Minnesota

1.
Mallik, Abhirup.
Topics in *Functional* *Data* Analysis.

Degree: PhD, Statistics, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/206221

► It is common for modern applications to collect *data* continuously from a process over a time period. Such *data* sets can be conceptualized as a…
(more)

Subjects/Keywords: Statistics; Functional Data

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

APA (6^{th} Edition):

Mallik, A. (2017). Topics in Functional Data Analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206221

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

Mallik, Abhirup. “Topics in Functional Data Analysis.” 2017. Doctoral Dissertation, University of Minnesota. Accessed November 28, 2020. http://hdl.handle.net/11299/206221.

MLA Handbook (7^{th} Edition):

Mallik, Abhirup. “Topics in Functional Data Analysis.” 2017. Web. 28 Nov 2020.

Vancouver:

Mallik A. Topics in Functional Data Analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11299/206221.

Council of Science Editors:

Mallik A. Topics in Functional Data Analysis. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/206221

Anna University

2.
Amshakala K.
Information theory based *data* dependency extraction and
its application in *data* integration;.

Degree: Information theory based data dependency extraction and its application in data integration, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/54547

►

As a huge volume of *data* is getting generated every day *data* integration becomes important to provide a uniform view over the *data* collected from…
(more)

Subjects/Keywords: Data integration; Fuzzy functional dependencies

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APA (6^{th} Edition):

K, A. (2015). Information theory based data dependency extraction and its application in data integration;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/54547

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):

K, Amshakala. “Information theory based data dependency extraction and its application in data integration;.” 2015. Thesis, Anna University. Accessed November 28, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/54547.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

K, Amshakala. “Information theory based data dependency extraction and its application in data integration;.” 2015. Web. 28 Nov 2020.

Vancouver:

K A. Information theory based data dependency extraction and its application in data integration;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Nov 28]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/54547.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

K A. Information theory based data dependency extraction and its application in data integration;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/54547

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

3.
Earls, Cecilia.
Bayesian Hierarchical Gaussian Process Models For *Functional* *Data* Analysis.

Degree: PhD, Statistics, 2014, Cornell University

URL: http://hdl.handle.net/1813/38765

► This dissertation encompasses a breadth of topics in the area of *functional* *data* analysis where each function is modeled as a Gaussian process within the…
(more)

Subjects/Keywords: Functional data; registration; Covariance estimation

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

APA (6^{th} Edition):

Earls, C. (2014). Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/38765

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

Earls, Cecilia. “Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis.” 2014. Doctoral Dissertation, Cornell University. Accessed November 28, 2020. http://hdl.handle.net/1813/38765.

MLA Handbook (7^{th} Edition):

Earls, Cecilia. “Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis.” 2014. Web. 28 Nov 2020.

Vancouver:

Earls C. Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1813/38765.

Council of Science Editors:

Earls C. Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38765

Penn State University

4.
Das, Kiranmoy.
SEMI-PARAMETRIC BAYESIAN *FUNCTIONAL* MAPPING WITH IRREGULAR SPARSE LONGITUDINAL * DATA*.

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/12109

► Genome-wide Association Studies, popularly known as GWAS, are playing a key role in understanding the genetic patterns of various traits and diseases. Despite the potential…
(more)

Subjects/Keywords: Longitudinal data; functional mapping; MCMC

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APA (6^{th} Edition):

Das, K. (2011). SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12109

Not specified: Masters Thesis or Doctoral Dissertation

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

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Thesis, Penn State University. Accessed November 28, 2020. https://submit-etda.libraries.psu.edu/catalog/12109.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Web. 28 Nov 2020.

Vancouver:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Nov 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/12109.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12109

Not specified: Masters Thesis or Doctoral Dissertation

King Abdullah University of Science and Technology

5. Meng, Rui. Growth Curve Analysis and Change-Points Detection in Extremes.

Degree: 2016, King Abdullah University of Science and Technology

URL: http://hdl.handle.net/10754/609833

► The thesis consists of two coherent projects. The first project presents the results of evaluating salinity tolerance in barley using growth curve analysis where different…
(more)

Subjects/Keywords: functional data; fitting; functional data registration; ANOVA model; algorithm; EM

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APA (6^{th} Edition):

Meng, R. (2016). Growth Curve Analysis and Change-Points Detection in Extremes. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/609833

Not specified: Masters Thesis or Doctoral Dissertation

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

Meng, Rui. “Growth Curve Analysis and Change-Points Detection in Extremes.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed November 28, 2020. http://hdl.handle.net/10754/609833.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Meng, Rui. “Growth Curve Analysis and Change-Points Detection in Extremes.” 2016. Web. 28 Nov 2020.

Vancouver:

Meng R. Growth Curve Analysis and Change-Points Detection in Extremes. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/10754/609833.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Meng R. Growth Curve Analysis and Change-Points Detection in Extremes. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/609833

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

6.
Qiao, Xinghao.
Sparseness in *functional* *data* analysis.

Degree: PhD, Business Administration, 2015, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981

► *Functional* *Data* Analysis (FDA), a branch of statistics that analyzes *data* providing information about functions measured over some domain, has recently attracted more attention. In…
(more)

Subjects/Keywords: functional regression; sparsely sampled functional data; high dimensional functional data; graphical models; features screening

Record Details Similar Records

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APA (6^{th} Edition):

Qiao, X. (2015). Sparseness in functional data analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981

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

Qiao, Xinghao. “Sparseness in functional data analysis.” 2015. Doctoral Dissertation, University of Southern California. Accessed November 28, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981.

MLA Handbook (7^{th} Edition):

Qiao, Xinghao. “Sparseness in functional data analysis.” 2015. Web. 28 Nov 2020.

Vancouver:

Qiao X. Sparseness in functional data analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Nov 28]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981.

Council of Science Editors:

Qiao X. Sparseness in functional data analysis. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981

UCLA

7.
Zhang, Yafeng.
Clustering and Registration of *Functional* *Data* with Applications in Time Course Genomics * Data*.

Degree: Biostatistics, 2014, UCLA

URL: http://www.escholarship.org/uc/item/0d01t79f

► *Functional* *data* analysis aims to provide statistical inference for stochastic processes defined over a *functional* space. Typical *data* sources, often modeled using *functional* *data* analytic…
(more)

Subjects/Keywords: Biostatistics; Statistics; Bioinformatics; Dirichlet Process; Functional Data Analysis; Functional Data Clustering; Functional Data Registration; Joint Modelling; Time Course Genomics Data

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APA (6^{th} Edition):

Zhang, Y. (2014). Clustering and Registration of Functional Data with Applications in Time Course Genomics Data. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0d01t79f

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Yafeng. “Clustering and Registration of Functional Data with Applications in Time Course Genomics Data.” 2014. Thesis, UCLA. Accessed November 28, 2020. http://www.escholarship.org/uc/item/0d01t79f.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Yafeng. “Clustering and Registration of Functional Data with Applications in Time Course Genomics Data.” 2014. Web. 28 Nov 2020.

Vancouver:

Zhang Y. Clustering and Registration of Functional Data with Applications in Time Course Genomics Data. [Internet] [Thesis]. UCLA; 2014. [cited 2020 Nov 28]. Available from: http://www.escholarship.org/uc/item/0d01t79f.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Y. Clustering and Registration of Functional Data with Applications in Time Course Genomics Data. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/0d01t79f

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

8.
Tian, Renfang.
On *Functional* *Data* Analysis: Methodologies and Applications.

Degree: 2020, University of Waterloo

URL: http://hdl.handle.net/10012/15811

► In economic analyses, the variables of interest are often functions defined on continua such as time or space, though we may only have access to…
(more)

Subjects/Keywords: Econometrics; Functional data analysis; Functional dynamic factor model; Functional regression; Simulation study; Theory and application

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APA (6^{th} Edition):

Tian, R. (2020). On Functional Data Analysis: Methodologies and Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15811

Not specified: Masters Thesis or Doctoral Dissertation

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

Tian, Renfang. “On Functional Data Analysis: Methodologies and Applications.” 2020. Thesis, University of Waterloo. Accessed November 28, 2020. http://hdl.handle.net/10012/15811.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tian, Renfang. “On Functional Data Analysis: Methodologies and Applications.” 2020. Web. 28 Nov 2020.

Vancouver:

Tian R. On Functional Data Analysis: Methodologies and Applications. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/10012/15811.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tian R. On Functional Data Analysis: Methodologies and Applications. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15811

Not specified: Masters Thesis or Doctoral Dissertation

UCLA

9.
Scheffler, Aaron Wolfe.
Modeling Region-Referenced Longitudinal *Functional* Electroencephalography * Data*.

Degree: Biostatistics, 2019, UCLA

URL: http://www.escholarship.org/uc/item/60m6q662

► Highly structured *data* collected in a variety of biomedical applications such as electroencephalography (EEG) are discrete samples of a smooth *functional* process observed across both…
(more)

Subjects/Keywords: Biostatistics; Autism; Electroencephalography; Functional data analysis; Functional principal components analysis; Functional regression; Penalized regression

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

APA (6^{th} Edition):

Scheffler, A. W. (2019). Modeling Region-Referenced Longitudinal Functional Electroencephalography Data. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/60m6q662

Not specified: Masters Thesis or Doctoral Dissertation

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

Scheffler, Aaron Wolfe. “Modeling Region-Referenced Longitudinal Functional Electroencephalography Data.” 2019. Thesis, UCLA. Accessed November 28, 2020. http://www.escholarship.org/uc/item/60m6q662.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Scheffler, Aaron Wolfe. “Modeling Region-Referenced Longitudinal Functional Electroencephalography Data.” 2019. Web. 28 Nov 2020.

Vancouver:

Scheffler AW. Modeling Region-Referenced Longitudinal Functional Electroencephalography Data. [Internet] [Thesis]. UCLA; 2019. [cited 2020 Nov 28]. Available from: http://www.escholarship.org/uc/item/60m6q662.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Scheffler AW. Modeling Region-Referenced Longitudinal Functional Electroencephalography Data. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/60m6q662

Not specified: Masters Thesis or Doctoral Dissertation

Boston University

10.
Liu, Chong.
* Functional* principal component and factor analysis of spatially correlated

Degree: PhD, Mathematics & Statistics, 2014, Boston University

URL: http://hdl.handle.net/2144/14305

► While multivariate *data* analysis is concerned with *data* in the form of random vectors, *functional* *data* analysis goes one big step farther, focusing on *data*…
(more)

Subjects/Keywords: Statistics; Functional data analysis; Functional factor rotation; Functional principal component; Spatial correlation

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APA (6^{th} Edition):

Liu, C. (2014). Functional principal component and factor analysis of spatially correlated data. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14305

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

Liu, Chong. “Functional principal component and factor analysis of spatially correlated data.” 2014. Doctoral Dissertation, Boston University. Accessed November 28, 2020. http://hdl.handle.net/2144/14305.

MLA Handbook (7^{th} Edition):

Liu, Chong. “Functional principal component and factor analysis of spatially correlated data.” 2014. Web. 28 Nov 2020.

Vancouver:

Liu C. Functional principal component and factor analysis of spatially correlated data. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/2144/14305.

Council of Science Editors:

Liu C. Functional principal component and factor analysis of spatially correlated data. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/14305

Cornell University

11.
Soiaporn, Kunlaya.
On The Modeling Of Multiple *Functional* Outcomes With Spatially Heterogeneous Shape Characteristics.

Degree: PhD, Operations Research, 2014, Cornell University

URL: http://hdl.handle.net/1813/36106

► This dissertation presents an approach for analyzing *functional* *data* with multiple outcomes that exhibits spatially heterogeneous shape characteristics. An example of *data* of this type…
(more)

Subjects/Keywords: correlated functional outcomes; diffusion tensor imaging; skewed functional data

Record Details Similar Records

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APA (6^{th} Edition):

Soiaporn, K. (2014). On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/36106

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

Soiaporn, Kunlaya. “On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics.” 2014. Doctoral Dissertation, Cornell University. Accessed November 28, 2020. http://hdl.handle.net/1813/36106.

MLA Handbook (7^{th} Edition):

Soiaporn, Kunlaya. “On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics.” 2014. Web. 28 Nov 2020.

Vancouver:

Soiaporn K. On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1813/36106.

Council of Science Editors:

Soiaporn K. On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36106

University of Georgia

12. Ettinger, Bree. Bivariate splines for ozone concentration predictions.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/25790

► For ground level ozone prediction, we consider a *functional* linear regression model where the explanatory variable is a real random surface and the response is…
(more)

Subjects/Keywords: Functional Linear Models; Functional Data; Regression; Splines; Principle Component Analysis

Record Details Similar Records

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

APA (6^{th} Edition):

Ettinger, B. (2014). Bivariate splines for ozone concentration predictions. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/25790

Not specified: Masters Thesis or Doctoral Dissertation

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

Ettinger, Bree. “Bivariate splines for ozone concentration predictions.” 2014. Thesis, University of Georgia. Accessed November 28, 2020. http://hdl.handle.net/10724/25790.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ettinger, Bree. “Bivariate splines for ozone concentration predictions.” 2014. Web. 28 Nov 2020.

Vancouver:

Ettinger B. Bivariate splines for ozone concentration predictions. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/10724/25790.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ettinger B. Bivariate splines for ozone concentration predictions. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/25790

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

13.
Constantinou, Panayiotis.
TESTING SEPARABILITY OF *FUNCTIONAL* * DATA*.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/14253pzc140

► The assumption of separability is used heavily in spatiotemporal statistics. Separability means that the spatiotemporal covariance structure factors into the product of two functions, one…
(more)

Subjects/Keywords: Separability; Functional data; Space-time processes; Functional panels

Record Details Similar Records

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APA (6^{th} Edition):

Constantinou, P. (2017). TESTING SEPARABILITY OF FUNCTIONAL DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14253pzc140

Not specified: Masters Thesis or Doctoral Dissertation

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

Constantinou, Panayiotis. “TESTING SEPARABILITY OF FUNCTIONAL DATA.” 2017. Thesis, Penn State University. Accessed November 28, 2020. https://submit-etda.libraries.psu.edu/catalog/14253pzc140.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Constantinou, Panayiotis. “TESTING SEPARABILITY OF FUNCTIONAL DATA.” 2017. Web. 28 Nov 2020.

Vancouver:

Constantinou P. TESTING SEPARABILITY OF FUNCTIONAL DATA. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Nov 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/14253pzc140.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Constantinou P. TESTING SEPARABILITY OF FUNCTIONAL DATA. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14253pzc140

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

14.
Lei, Edwin Kam Fai.
Methods for Sparse *Functional* * Data*.

Degree: PhD, 2014, University of Toronto

URL: http://hdl.handle.net/1807/68427

► The primary aim of this thesis is to study methods for the analysis of sparse *functional* *data*. Since this type of *data* is observed infrequently…
(more)

Subjects/Keywords: Dimension reduction; Functional principal components; Smoothing; Sparse functional data; 0463

Record Details Similar Records

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APA (6^{th} Edition):

Lei, E. K. F. (2014). Methods for Sparse Functional Data. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/68427

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

Lei, Edwin Kam Fai. “Methods for Sparse Functional Data.” 2014. Doctoral Dissertation, University of Toronto. Accessed November 28, 2020. http://hdl.handle.net/1807/68427.

MLA Handbook (7^{th} Edition):

Lei, Edwin Kam Fai. “Methods for Sparse Functional Data.” 2014. Web. 28 Nov 2020.

Vancouver:

Lei EKF. Methods for Sparse Functional Data. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1807/68427.

Council of Science Editors:

Lei EKF. Methods for Sparse Functional Data. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68427

Kansas State University

15. Wu, Mengjiao. Equivalence testing for identity authentication using pulse waves from photoplethysmograph.

Degree: PhD, Department of Statistics, 2019, Kansas State University

URL: http://hdl.handle.net/2097/39461

► Photoplethysmograph sensors use a light-based technology to sense the rate of blood flow as controlled by the heart’s pumping action. This allows for a graphical…
(more)

Subjects/Keywords: functional data; functional boxplots; permutation test; bootstrapping; equivalence testing

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

APA (6^{th} Edition):

Wu, M. (2019). Equivalence testing for identity authentication using pulse waves from photoplethysmograph. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/39461

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

Wu, Mengjiao. “Equivalence testing for identity authentication using pulse waves from photoplethysmograph.” 2019. Doctoral Dissertation, Kansas State University. Accessed November 28, 2020. http://hdl.handle.net/2097/39461.

MLA Handbook (7^{th} Edition):

Wu, Mengjiao. “Equivalence testing for identity authentication using pulse waves from photoplethysmograph.” 2019. Web. 28 Nov 2020.

Vancouver:

Wu M. Equivalence testing for identity authentication using pulse waves from photoplethysmograph. [Internet] [Doctoral dissertation]. Kansas State University; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/2097/39461.

Council of Science Editors:

Wu M. Equivalence testing for identity authentication using pulse waves from photoplethysmograph. [Doctoral Dissertation]. Kansas State University; 2019. Available from: http://hdl.handle.net/2097/39461

University of Alberta

16.
Yaraee, Kate.
*Functional**data* analysis with application to MS and cervical
vertebrae * data*.

Degree: MS, Department of Mathematical and Statistical Sciences, 2011, University of Alberta

URL: https://era.library.ualberta.ca/files/s1784m780

► *Functional* *data* analysis (FDA) is a fast-growing area in statistics with the aim of estimating a set of related functions or curves rather than focusing…
(more)

Subjects/Keywords: Functional data analysis; Cervical Vertebrae; Multiple Sclerosis

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

APA (6^{th} Edition):

Yaraee, K. (2011). Functional data analysis with application to MS and cervical vertebrae data. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/s1784m780

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

Yaraee, Kate. “Functional data analysis with application to MS and cervical vertebrae data.” 2011. Masters Thesis, University of Alberta. Accessed November 28, 2020. https://era.library.ualberta.ca/files/s1784m780.

MLA Handbook (7^{th} Edition):

Yaraee, Kate. “Functional data analysis with application to MS and cervical vertebrae data.” 2011. Web. 28 Nov 2020.

Vancouver:

Yaraee K. Functional data analysis with application to MS and cervical vertebrae data. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2020 Nov 28]. Available from: https://era.library.ualberta.ca/files/s1784m780.

Council of Science Editors:

Yaraee K. Functional data analysis with application to MS and cervical vertebrae data. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/s1784m780

Texas A&M University

17.
He, Shiyuan.
* Functional* Light Curve Models for Type Ia Supernovae and Mira Variables, with Their Application of Distance Determination.

Degree: PhD, Statistics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161496

► Both type Ia supernovae and variable stars are important distance indicators in astronomy. The peak luminosity of type Ia supernovae and the period-luminosity relation of…
(more)

Subjects/Keywords: functional data; type Ia supernova; Mira variable

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APA (6^{th} Edition):

He, S. (2017). Functional Light Curve Models for Type Ia Supernovae and Mira Variables, with Their Application of Distance Determination. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161496

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

He, Shiyuan. “Functional Light Curve Models for Type Ia Supernovae and Mira Variables, with Their Application of Distance Determination.” 2017. Doctoral Dissertation, Texas A&M University. Accessed November 28, 2020. http://hdl.handle.net/1969.1/161496.

MLA Handbook (7^{th} Edition):

He, Shiyuan. “Functional Light Curve Models for Type Ia Supernovae and Mira Variables, with Their Application of Distance Determination.” 2017. Web. 28 Nov 2020.

Vancouver:

He S. Functional Light Curve Models for Type Ia Supernovae and Mira Variables, with Their Application of Distance Determination. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1969.1/161496.

Council of Science Editors:

He S. Functional Light Curve Models for Type Ia Supernovae and Mira Variables, with Their Application of Distance Determination. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161496

University of Vermont

18.
King, Katherine S.
*Functional**Data* Analysis With Application to United States Weather * Data*.

Degree: Mathematics and Statistics, 2014, University of Vermont

URL: https://scholarworks.uvm.edu/hcoltheses/10

► This thesis explores the use of *functional* *data* analytic methods to examine climate change in a select group of 16 cities in the United…
(more)

Subjects/Keywords: Functional Data Analysis; Weather; Statistics; Splines

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APA (6^{th} Edition):

King, K. S. (2014). Functional Data Analysis With Application to United States Weather Data. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/hcoltheses/10

Not specified: Masters Thesis or Doctoral Dissertation

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

King, Katherine S. “Functional Data Analysis With Application to United States Weather Data.” 2014. Thesis, University of Vermont. Accessed November 28, 2020. https://scholarworks.uvm.edu/hcoltheses/10.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

King, Katherine S. “Functional Data Analysis With Application to United States Weather Data.” 2014. Web. 28 Nov 2020.

Vancouver:

King KS. Functional Data Analysis With Application to United States Weather Data. [Internet] [Thesis]. University of Vermont; 2014. [cited 2020 Nov 28]. Available from: https://scholarworks.uvm.edu/hcoltheses/10.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

King KS. Functional Data Analysis With Application to United States Weather Data. [Thesis]. University of Vermont; 2014. Available from: https://scholarworks.uvm.edu/hcoltheses/10

Not specified: Masters Thesis or Doctoral Dissertation

Texas Tech University

19. Kaphle, Krishna. Perturbations of Operators with Application to Testing Equality of Covariance Operators.

Degree: Mathematics and Statistics, 2011, Texas Tech University

URL: http://hdl.handle.net/2346/ETD-TTU-2011-08-1601

► The generalization of multivariate statistical procedures to infinite dimension naturally requires extra theoretical work. In this dissertation, we will focus on testing the equality of…
(more)

Subjects/Keywords: Covariance operators; Functional data; Delta method

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APA (6^{th} Edition):

Kaphle, K. (2011). Perturbations of Operators with Application to Testing Equality of Covariance Operators. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/ETD-TTU-2011-08-1601

Not specified: Masters Thesis or Doctoral Dissertation

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

Kaphle, Krishna. “Perturbations of Operators with Application to Testing Equality of Covariance Operators.” 2011. Thesis, Texas Tech University. Accessed November 28, 2020. http://hdl.handle.net/2346/ETD-TTU-2011-08-1601.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kaphle, Krishna. “Perturbations of Operators with Application to Testing Equality of Covariance Operators.” 2011. Web. 28 Nov 2020.

Vancouver:

Kaphle K. Perturbations of Operators with Application to Testing Equality of Covariance Operators. [Internet] [Thesis]. Texas Tech University; 2011. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/2346/ETD-TTU-2011-08-1601.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaphle K. Perturbations of Operators with Application to Testing Equality of Covariance Operators. [Thesis]. Texas Tech University; 2011. Available from: http://hdl.handle.net/2346/ETD-TTU-2011-08-1601

Not specified: Masters Thesis or Doctoral Dissertation

University of Limerick

20. O'Shea, Pádraig. B-spline smoothing and statistical inference for systems of differential equations.

Degree: 2019, University of Limerick

URL: http://hdl.handle.net/10344/8496

►

peer-reviewed

Traditional algorithms for modelling *functional* *data* use derivative-based optimisation methods to fit parameters. The process of finnding the derivatives of the fitting criterion with…
(more)

Subjects/Keywords: algorithms; functional data analysis; FDA problems

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

APA (6^{th} Edition):

O'Shea, P. (2019). B-spline smoothing and statistical inference for systems of differential equations. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/8496

Not specified: Masters Thesis or Doctoral Dissertation

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

O'Shea, Pádraig. “B-spline smoothing and statistical inference for systems of differential equations.” 2019. Thesis, University of Limerick. Accessed November 28, 2020. http://hdl.handle.net/10344/8496.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

O'Shea, Pádraig. “B-spline smoothing and statistical inference for systems of differential equations.” 2019. Web. 28 Nov 2020.

Vancouver:

O'Shea P. B-spline smoothing and statistical inference for systems of differential equations. [Internet] [Thesis]. University of Limerick; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/10344/8496.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

O'Shea P. B-spline smoothing and statistical inference for systems of differential equations. [Thesis]. University of Limerick; 2019. Available from: http://hdl.handle.net/10344/8496

Not specified: Masters Thesis or Doctoral Dissertation

Arizona State University

21.
Ward, Kimberly.
Handling Sparse and Missing *Data* in *Functional* *Data*
Analysis: A *Functional* Mixed-Effects Model Approach.

Degree: Psychology, 2016, Arizona State University

URL: http://repository.asu.edu/items/40749

► This paper investigates a relatively new analysis method for longitudinal *data* in the framework of *functional* *data* analysis. This approach treats longitudinal *data* as so-called…
(more)

Subjects/Keywords: Psychology; Functional Data Analysis; Longitudinal Data; Mixed Models

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

APA (6^{th} Edition):

Ward, K. (2016). Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/40749

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

Ward, Kimberly. “Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach.” 2016. Masters Thesis, Arizona State University. Accessed November 28, 2020. http://repository.asu.edu/items/40749.

MLA Handbook (7^{th} Edition):

Ward, Kimberly. “Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach.” 2016. Web. 28 Nov 2020.

Vancouver:

Ward K. Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2020 Nov 28]. Available from: http://repository.asu.edu/items/40749.

Council of Science Editors:

Ward K. Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40749

Princeton University

22. Zhu, Qian. Detecting gene similarities using large-scale content-based search systems .

Degree: PhD, 2016, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp016h440v94d

► The accumulation of public gene expression datasets offers numerous opportunities for researchers to utilize these *data* to characterize gene functions, understand pathway actions, and formulate…
(more)

Subjects/Keywords: big data; coexpression; data integration; functional genomics; gene expression; meta-analysis

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APA (6^{th} Edition):

Zhu, Q. (2016). Detecting gene similarities using large-scale content-based search systems . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp016h440v94d

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

Zhu, Qian. “Detecting gene similarities using large-scale content-based search systems .” 2016. Doctoral Dissertation, Princeton University. Accessed November 28, 2020. http://arks.princeton.edu/ark:/88435/dsp016h440v94d.

MLA Handbook (7^{th} Edition):

Zhu, Qian. “Detecting gene similarities using large-scale content-based search systems .” 2016. Web. 28 Nov 2020.

Vancouver:

Zhu Q. Detecting gene similarities using large-scale content-based search systems . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Nov 28]. Available from: http://arks.princeton.edu/ark:/88435/dsp016h440v94d.

Council of Science Editors:

Zhu Q. Detecting gene similarities using large-scale content-based search systems . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp016h440v94d

23.
Shou, Haochang.
Statistical Methods for Structured Multilevel *Functional* *Data*: Estimation and Reliability.

Degree: 2014, Johns Hopkins University

URL: http://jhir.library.jhu.edu/handle/1774.2/37867

► The thesis investigates a specific type of *functional* *data* with multilevel structures induced by complex experimental designs. Novel statistical methods based on principal component analysis…
(more)

Subjects/Keywords: functional data analysis; multilevel and structured data; high-dimensional data; imaging reproducibility; shrinkage estimation

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

APA (6^{th} Edition):

Shou, H. (2014). Statistical Methods for Structured Multilevel Functional Data: Estimation and Reliability. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37867

Not specified: Masters Thesis or Doctoral Dissertation

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

Shou, Haochang. “Statistical Methods for Structured Multilevel Functional Data: Estimation and Reliability.” 2014. Thesis, Johns Hopkins University. Accessed November 28, 2020. http://jhir.library.jhu.edu/handle/1774.2/37867.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shou, Haochang. “Statistical Methods for Structured Multilevel Functional Data: Estimation and Reliability.” 2014. Web. 28 Nov 2020.

Vancouver:

Shou H. Statistical Methods for Structured Multilevel Functional Data: Estimation and Reliability. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2020 Nov 28]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37867.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shou H. Statistical Methods for Structured Multilevel Functional Data: Estimation and Reliability. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/37867

Not specified: Masters Thesis or Doctoral Dissertation

Queen Mary, University of London

24.
Zhang, Bairu.
*Functional**data* analysis in orthogonal designs with applications to gait patterns.

Degree: PhD, 2018, Queen Mary, University of London

URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/44698 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766224

► This thesis presents a contribution to the active research area of *functional* *data* analysis (FDA) and is concerned with the analysis of *data* from complex…
(more)

Subjects/Keywords: Mathematical Sciences; Gait Patterns; functional data analysis; functional analysis of variance; ANOVA

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

APA (6^{th} Edition):

Zhang, B. (2018). Functional data analysis in orthogonal designs with applications to gait patterns. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/44698 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766224

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

Zhang, Bairu. “Functional data analysis in orthogonal designs with applications to gait patterns.” 2018. Doctoral Dissertation, Queen Mary, University of London. Accessed November 28, 2020. http://qmro.qmul.ac.uk/xmlui/handle/123456789/44698 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766224.

MLA Handbook (7^{th} Edition):

Zhang, Bairu. “Functional data analysis in orthogonal designs with applications to gait patterns.” 2018. Web. 28 Nov 2020.

Vancouver:

Zhang B. Functional data analysis in orthogonal designs with applications to gait patterns. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2018. [cited 2020 Nov 28]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/44698 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766224.

Council of Science Editors:

Zhang B. Functional data analysis in orthogonal designs with applications to gait patterns. [Doctoral Dissertation]. Queen Mary, University of London; 2018. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/44698 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.766224

University of Toronto

25.
Lin, Zhenhua.
Adaptive *Functional* *Data* Analysis.

Degree: PhD, 2017, University of Toronto

URL: http://hdl.handle.net/1807/80668

► Statistical methods that adapt to individual observations or unknown population structures are attractive due to both numerical and theoretical advantages over their non-adaptive counterparts. In…
(more)

Subjects/Keywords: Contaminated functional data; Functional data analysis; Infinite mixture; local linear manifold smoothing; Phase transition; Trajectory representation; 0463

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

APA (6^{th} Edition):

Lin, Z. (2017). Adaptive Functional Data Analysis. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/80668

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

Lin, Zhenhua. “Adaptive Functional Data Analysis.” 2017. Doctoral Dissertation, University of Toronto. Accessed November 28, 2020. http://hdl.handle.net/1807/80668.

MLA Handbook (7^{th} Edition):

Lin, Zhenhua. “Adaptive Functional Data Analysis.” 2017. Web. 28 Nov 2020.

Vancouver:

Lin Z. Adaptive Functional Data Analysis. [Internet] [Doctoral dissertation]. University of Toronto; 2017. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1807/80668.

Council of Science Editors:

Lin Z. Adaptive Functional Data Analysis. [Doctoral Dissertation]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/80668

Utah State University

26.
Zhang, Xi.
Empirical Properties of *Functional* Regression Models and Application to High-Frequency Financial * Data*.

Degree: PhD, Mathematics and Statistics, 2013, Utah State University

URL: https://digitalcommons.usu.edu/etd/1973

► *Functional* *data* analysis (FDA) has grown into a substantial field of statistical research, with new methodology, numerous useful applications and interesting novel theoretical developments. My…
(more)

Subjects/Keywords: Empirical Study; Financial Data; Functional Data Analysis; Functional Regression Models; Finance and Financial Management; Statistics and Probability

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APA (6^{th} Edition):

Zhang, X. (2013). Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1973

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

Zhang, Xi. “Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data.” 2013. Doctoral Dissertation, Utah State University. Accessed November 28, 2020. https://digitalcommons.usu.edu/etd/1973.

MLA Handbook (7^{th} Edition):

Zhang, Xi. “Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data.” 2013. Web. 28 Nov 2020.

Vancouver:

Zhang X. Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data. [Internet] [Doctoral dissertation]. Utah State University; 2013. [cited 2020 Nov 28]. Available from: https://digitalcommons.usu.edu/etd/1973.

Council of Science Editors:

Zhang X. Empirical Properties of Functional Regression Models and Application to High-Frequency Financial Data. [Doctoral Dissertation]. Utah State University; 2013. Available from: https://digitalcommons.usu.edu/etd/1973

McMaster University

27. Cheam, Amay SM. Mixture models for ROC curve and spatio-temporal clustering.

Degree: PhD, 2016, McMaster University

URL: http://hdl.handle.net/11375/20693

►

Finite mixture models have had a profound impact on the history of statistics, contributing to modelling heterogeneous populations, generalizing distributional assumptions, and lately, presenting a… (more)

Subjects/Keywords: Finite mixture models; ROC curve; Spatio-temporal data; Functional data; Model-based clustering; EM algorithm

Record Details Similar Records

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

APA (6^{th} Edition):

Cheam, A. S. (2016). Mixture models for ROC curve and spatio-temporal clustering. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20693

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

Cheam, Amay SM. “Mixture models for ROC curve and spatio-temporal clustering.” 2016. Doctoral Dissertation, McMaster University. Accessed November 28, 2020. http://hdl.handle.net/11375/20693.

MLA Handbook (7^{th} Edition):

Cheam, Amay SM. “Mixture models for ROC curve and spatio-temporal clustering.” 2016. Web. 28 Nov 2020.

Vancouver:

Cheam AS. Mixture models for ROC curve and spatio-temporal clustering. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11375/20693.

Council of Science Editors:

Cheam AS. Mixture models for ROC curve and spatio-temporal clustering. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20693

New Jersey Institute of Technology

28.
Kamble, Amit Madhukar.
Motor *data* scaling by respiration frequencies in rest.

Degree: MSin Biomedical Engineering - (M.S.), Biomedical Engineering, 2010, New Jersey Institute of Technology

URL: https://digitalcommons.njit.edu/theses/76

► *Functional* Magnetic Resonance Imaging (fMRI) is widely used as a tool to see activations in the different brain regions. Motor *data* acquired from fMRI…
(more)

Subjects/Keywords: Functional magnetic resonance imaging; Motor data; Respiration frequencies; Scaling data; Biomedical Engineering and Bioengineering

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

APA (6^{th} Edition):

Kamble, A. M. (2010). Motor data scaling by respiration frequencies in rest. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/76

Not specified: Masters Thesis or Doctoral Dissertation

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

Kamble, Amit Madhukar. “Motor data scaling by respiration frequencies in rest.” 2010. Thesis, New Jersey Institute of Technology. Accessed November 28, 2020. https://digitalcommons.njit.edu/theses/76.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kamble, Amit Madhukar. “Motor data scaling by respiration frequencies in rest.” 2010. Web. 28 Nov 2020.

Vancouver:

Kamble AM. Motor data scaling by respiration frequencies in rest. [Internet] [Thesis]. New Jersey Institute of Technology; 2010. [cited 2020 Nov 28]. Available from: https://digitalcommons.njit.edu/theses/76.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kamble AM. Motor data scaling by respiration frequencies in rest. [Thesis]. New Jersey Institute of Technology; 2010. Available from: https://digitalcommons.njit.edu/theses/76

Not specified: Masters Thesis or Doctoral Dissertation

29.
Lai, Chinh Thi Tuyet.
Respiratory disease diagnosis for dolphin using breath * data*
.

Degree: 2017, Texas A&M University – Corpus Christi

URL: http://hdl.handle.net/1969.6/19202

► Respiratory disease in marine mammals evokes strong public attention as well as worthwhile scientific interest. Traditional methods for animal disease diagnosis include blood test, ultrasound,…
(more)

Subjects/Keywords: breath data; dolphin; functional data analysis; geometric models; respiratory disease diagnosis; principal component analysis

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

APA (6^{th} Edition):

Lai, C. T. T. (2017). Respiratory disease diagnosis for dolphin using breath data . (Thesis). Texas A&M University – Corpus Christi. Retrieved from http://hdl.handle.net/1969.6/19202

Not specified: Masters Thesis or Doctoral Dissertation

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

Lai, Chinh Thi Tuyet. “Respiratory disease diagnosis for dolphin using breath data .” 2017. Thesis, Texas A&M University – Corpus Christi. Accessed November 28, 2020. http://hdl.handle.net/1969.6/19202.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lai, Chinh Thi Tuyet. “Respiratory disease diagnosis for dolphin using breath data .” 2017. Web. 28 Nov 2020.

Vancouver:

Lai CTT. Respiratory disease diagnosis for dolphin using breath data . [Internet] [Thesis]. Texas A&M University – Corpus Christi; 2017. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1969.6/19202.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lai CTT. Respiratory disease diagnosis for dolphin using breath data . [Thesis]. Texas A&M University – Corpus Christi; 2017. Available from: http://hdl.handle.net/1969.6/19202

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

30.
Lila, Eardi.
Geometric *Functional* *Data* Analysis.

Degree: PhD, 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/297866

► In this thesis, we introduce a comprehensive framework for the analysis of statistical samples that are *functional* *data* with non-trivial geometry. Geometry can interplay with…
(more)

Subjects/Keywords: Functional Data Analysis; Manifold Data Analysis; Shape Analysis; Neuroimaging; Brain Connectivity; Inverse Problems

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

APA (6^{th} Edition):

Lila, E. (2019). Geometric Functional Data Analysis. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/297866

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

Lila, Eardi. “Geometric Functional Data Analysis.” 2019. Doctoral Dissertation, University of Cambridge. Accessed November 28, 2020. https://www.repository.cam.ac.uk/handle/1810/297866.

MLA Handbook (7^{th} Edition):

Lila, Eardi. “Geometric Functional Data Analysis.” 2019. Web. 28 Nov 2020.

Vancouver:

Lila E. Geometric Functional Data Analysis. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Nov 28]. Available from: https://www.repository.cam.ac.uk/handle/1810/297866.

Council of Science Editors:

Lila E. Geometric Functional Data Analysis. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/297866