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You searched for subject:(Nonlinear Functional Regression). Showing records 1 – 4 of 4 total matches.

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Virginia Tech

1. Lei, Yu. Functional Regression and Adaptive Control.

Degree: PhD, Aerospace and Ocean Engineering, 2012, Virginia Tech

 The author proposes a novel functional regression method for parameter estimation and adaptive control in this dissertation. In the functional regression method, the regressors and… (more)

Subjects/Keywords: Functional Regression; Persistent Excitation; Adaptive Control; Nonlinear Systems; Parameter Estimation; System Identification

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

APA (6th Edition):

Lei, Y. (2012). Functional Regression and Adaptive Control. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29113

Chicago Manual of Style (16th Edition):

Lei, Yu. “Functional Regression and Adaptive Control.” 2012. Doctoral Dissertation, Virginia Tech. Accessed December 03, 2020. http://hdl.handle.net/10919/29113.

MLA Handbook (7th Edition):

Lei, Yu. “Functional Regression and Adaptive Control.” 2012. Web. 03 Dec 2020.

Vancouver:

Lei Y. Functional Regression and Adaptive Control. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/10919/29113.

Council of Science Editors:

Lei Y. Functional Regression and Adaptive Control. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/29113


Penn State University

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

Degree: 2016, Penn State University

 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

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Thesis, Penn State University. Accessed December 03, 2020. https://submit-etda.libraries.psu.edu/catalog/13392but129.

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

MLA Handbook (7th Edition):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Web. 03 Dec 2020.

Vancouver:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Dec 03]. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129.

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

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


University of Western Ontario

3. Hughes, James. Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming.

Degree: 2018, University of Western Ontario

 The human brain is a complex, nonlinear dynamic chaotic system that is poorly understood. When faced with these difficult to understand systems, it is common… (more)

Subjects/Keywords: Functional Magnetic Resonance Imaging; Nonlinear Relationships; Functional Connectivity; Symbolic Regression; Genetic Programming; Timeseries; Artificial Intelligence and Robotics; Computational Neuroscience

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

APA (6th Edition):

Hughes, J. (2018). Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5491

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

Chicago Manual of Style (16th Edition):

Hughes, James. “Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming.” 2018. Thesis, University of Western Ontario. Accessed December 03, 2020. https://ir.lib.uwo.ca/etd/5491.

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

MLA Handbook (7th Edition):

Hughes, James. “Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming.” 2018. Web. 03 Dec 2020.

Vancouver:

Hughes J. Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2020 Dec 03]. Available from: https://ir.lib.uwo.ca/etd/5491.

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

Council of Science Editors:

Hughes J. Finding Nonlinear Relationships in Functional Magnetic Resonance Imaging Data with Genetic Programming. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5491

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


Virginia Tech

4. Williams, James Dickson. Contributions to Profile Monitoring and Multivariate Statistical Process Control.

Degree: PhD, Statistics, 2004, Virginia Tech

 The content of this dissertation is divided into two main topics: 1) nonlinear profile monitoring and 2) an improved approximate distribution for the T2 statistic… (more)

Subjects/Keywords: heteroscedasticity; Hotelling's T^2 statistic; lack-of-fit; minimum volume ellipsoid; nonlinear regression; sample size; successive differences; vertical density profile; bioassay; false alarm rate; functional data

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

APA (6th Edition):

Williams, J. D. (2004). Contributions to Profile Monitoring and Multivariate Statistical Process Control. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30032

Chicago Manual of Style (16th Edition):

Williams, James Dickson. “Contributions to Profile Monitoring and Multivariate Statistical Process Control.” 2004. Doctoral Dissertation, Virginia Tech. Accessed December 03, 2020. http://hdl.handle.net/10919/30032.

MLA Handbook (7th Edition):

Williams, James Dickson. “Contributions to Profile Monitoring and Multivariate Statistical Process Control.” 2004. Web. 03 Dec 2020.

Vancouver:

Williams JD. Contributions to Profile Monitoring and Multivariate Statistical Process Control. [Internet] [Doctoral dissertation]. Virginia Tech; 2004. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/10919/30032.

Council of Science Editors:

Williams JD. Contributions to Profile Monitoring and Multivariate Statistical Process Control. [Doctoral Dissertation]. Virginia Tech; 2004. Available from: http://hdl.handle.net/10919/30032

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