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Dept: Mathematics ^{❌}

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Rutgers University

1.
Tang, Sijian, 1991-.
Two problems in *noise* tolerant computing.

Degree: PhD, Mathematics, 2018, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/59248/

►

This thesis consists of 2 main results about computations under random *noise*. In both problems we consider the discrete input picked from the hamming cube…
(more)

Subjects/Keywords: Random noise theory

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APA (6^{th} Edition):

Tang, Sijian, 1. (2018). Two problems in noise tolerant computing. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/59248/

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

Tang, Sijian, 1991-. “Two problems in noise tolerant computing.” 2018. Doctoral Dissertation, Rutgers University. Accessed July 09, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/59248/.

MLA Handbook (7^{th} Edition):

Tang, Sijian, 1991-. “Two problems in noise tolerant computing.” 2018. Web. 09 Jul 2020.

Vancouver:

Tang, Sijian 1. Two problems in noise tolerant computing. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Jul 09]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59248/.

Council of Science Editors:

Tang, Sijian 1. Two problems in noise tolerant computing. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59248/

Virginia Tech

2.
Hofmann, Ariane Leoni.
A Stochastic Framework to Model Extrinsic *Noise* in Gene Regulatory Networks.

Degree: MS, Mathematics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/76841

► Stochastic modeling to represent intrinsic and extrinsic *noise* is an important challenge in molecular systems biology. There are numerous ways to model intrinsic *noise*. One…
(more)

Subjects/Keywords: mathematical modeling; extrinsic noise; gene regulatory networks

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APA (6^{th} Edition):

Hofmann, A. L. (2012). A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76841

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

Hofmann, Ariane Leoni. “A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks.” 2012. Masters Thesis, Virginia Tech. Accessed July 09, 2020. http://hdl.handle.net/10919/76841.

MLA Handbook (7^{th} Edition):

Hofmann, Ariane Leoni. “A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks.” 2012. Web. 09 Jul 2020.

Vancouver:

Hofmann AL. A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10919/76841.

Council of Science Editors:

Hofmann AL. A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/76841

University of Colorado

3. Kaslovsky, Daniel N. Geometric Sparsity in High Dimension.

Degree: PhD, Mathematics, 2012, University of Colorado

URL: https://scholar.colorado.edu/math_gradetds/15

► While typically complex and high-dimensional, modern data sets often have a concise underlying structure. This thesis explores the sparsity inherent in the geometric structure…
(more)

Subjects/Keywords: Geometry; High-dimensional data; Noise; Sparsity; Applied Mathematics

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APA (6^{th} Edition):

Kaslovsky, D. N. (2012). Geometric Sparsity in High Dimension. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/math_gradetds/15

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

Kaslovsky, Daniel N. “Geometric Sparsity in High Dimension.” 2012. Doctoral Dissertation, University of Colorado. Accessed July 09, 2020. https://scholar.colorado.edu/math_gradetds/15.

MLA Handbook (7^{th} Edition):

Kaslovsky, Daniel N. “Geometric Sparsity in High Dimension.” 2012. Web. 09 Jul 2020.

Vancouver:

Kaslovsky DN. Geometric Sparsity in High Dimension. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2020 Jul 09]. Available from: https://scholar.colorado.edu/math_gradetds/15.

Council of Science Editors:

Kaslovsky DN. Geometric Sparsity in High Dimension. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/math_gradetds/15

Wayne State University

4.
Hashemi, Araz Ryan.
Adaptive Stochastic Systems: Estimation, Filtering, And *Noise* Attenuation.

Degree: PhD, Mathematics, 2014, Wayne State University

URL: https://digitalcommons.wayne.edu/oa_dissertations/886

► This dissertation investigates problems arising in identification and control of stochastic systems. When the parameters determining the underlying systems are unknown and/or time varying,…
(more)

Subjects/Keywords: Adaptive; Estimation; Filtering; Noise Attenuation; Stochastic; Mathematics; Statistics and Probability

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APA (6^{th} Edition):

Hashemi, A. R. (2014). Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/886

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

Hashemi, Araz Ryan. “Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation.” 2014. Doctoral Dissertation, Wayne State University. Accessed July 09, 2020. https://digitalcommons.wayne.edu/oa_dissertations/886.

MLA Handbook (7^{th} Edition):

Hashemi, Araz Ryan. “Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation.” 2014. Web. 09 Jul 2020.

Vancouver:

Hashemi AR. Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation. [Internet] [Doctoral dissertation]. Wayne State University; 2014. [cited 2020 Jul 09]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/886.

Council of Science Editors:

Hashemi AR. Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation. [Doctoral Dissertation]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_dissertations/886

University of Kansas

5.
Huang, Jingyu.
Stochastic partial differential equations driven by colored * noise*.

Degree: PhD, Mathematics, 2015, University of Kansas

URL: http://hdl.handle.net/1808/19051

► This dissertation studies some problems for stochastic partial differential equations, in particular, (nonlinear) stochastic heat and stochastic wave equations, driven by (multiplicative) colored Gaussian noises.…
(more)

Subjects/Keywords: Mathematics; colored noise; H\"older continuity; intermittency; mild solution; probability density; Stochastic partial differential equations

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APA (6^{th} Edition):

Huang, J. (2015). Stochastic partial differential equations driven by colored noise. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19051

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

Huang, Jingyu. “Stochastic partial differential equations driven by colored noise.” 2015. Doctoral Dissertation, University of Kansas. Accessed July 09, 2020. http://hdl.handle.net/1808/19051.

MLA Handbook (7^{th} Edition):

Huang, Jingyu. “Stochastic partial differential equations driven by colored noise.” 2015. Web. 09 Jul 2020.

Vancouver:

Huang J. Stochastic partial differential equations driven by colored noise. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1808/19051.

Council of Science Editors:

Huang J. Stochastic partial differential equations driven by colored noise. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19051

Virginia Tech

6. Murrugarra Tomairo, David M. Algebraic Methods for Modeling Gene Regulatory Networks.

Degree: PhD, Mathematics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/28388

► So called discrete models have been successfully used in engineering and computational systems biology. This thesis discusses algebraic methods for modeling and analysis of gene…
(more)

Subjects/Keywords: Systems Biology; Stochastic Discrete Modeling; Intrinsic Noise.; Nested Canalyzing Functions; Gene Regulatory Networks; Robustness

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APA (6^{th} Edition):

Murrugarra Tomairo, D. M. (2012). Algebraic Methods for Modeling Gene Regulatory Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28388

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

Murrugarra Tomairo, David M. “Algebraic Methods for Modeling Gene Regulatory Networks.” 2012. Doctoral Dissertation, Virginia Tech. Accessed July 09, 2020. http://hdl.handle.net/10919/28388.

MLA Handbook (7^{th} Edition):

Murrugarra Tomairo, David M. “Algebraic Methods for Modeling Gene Regulatory Networks.” 2012. Web. 09 Jul 2020.

Vancouver:

Murrugarra Tomairo DM. Algebraic Methods for Modeling Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10919/28388.

Council of Science Editors:

Murrugarra Tomairo DM. Algebraic Methods for Modeling Gene Regulatory Networks. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28388

Linnaeus University

7. Feng, Zijie. Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market.

Degree: Mathematics, 2018, Linnaeus University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375

► As an extension of the geometric Brownian motion, a geometric fractional Brownian motion (GFBM) is considered as a stock-price model. The modeled GFBM is…
(more)

Subjects/Keywords: geometric fractional Brownian motion; fractional Brownian motion; fractional Gaussian noise; Hurst exponent; Mathematics; Matematik

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APA (6^{th} Edition):

Feng, Z. (2018). Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375

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):

Feng, Zijie. “Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market.” 2018. Thesis, Linnaeus University. Accessed July 09, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Feng, Zijie. “Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market.” 2018. Web. 09 Jul 2020.

Vancouver:

Feng Z. Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market. [Internet] [Thesis]. Linnaeus University; 2018. [cited 2020 Jul 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Feng Z. Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market. [Thesis]. Linnaeus University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

8. Ingle, Richard Maurice. A boundary value problem related to the radiation of sound from a supersonic jet.

Degree: PhD, Mathematics, 1980, Georgia Tech

URL: http://hdl.handle.net/1853/28960

Subjects/Keywords: Jet planes Noise; Boundary value problems

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APA (6^{th} Edition):

Ingle, R. M. (1980). A boundary value problem related to the radiation of sound from a supersonic jet. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28960

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

Ingle, Richard Maurice. “A boundary value problem related to the radiation of sound from a supersonic jet.” 1980. Doctoral Dissertation, Georgia Tech. Accessed July 09, 2020. http://hdl.handle.net/1853/28960.

MLA Handbook (7^{th} Edition):

Ingle, Richard Maurice. “A boundary value problem related to the radiation of sound from a supersonic jet.” 1980. Web. 09 Jul 2020.

Vancouver:

Ingle RM. A boundary value problem related to the radiation of sound from a supersonic jet. [Internet] [Doctoral dissertation]. Georgia Tech; 1980. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1853/28960.

Council of Science Editors:

Ingle RM. A boundary value problem related to the radiation of sound from a supersonic jet. [Doctoral Dissertation]. Georgia Tech; 1980. Available from: http://hdl.handle.net/1853/28960

The Ohio State University

9. Yablonsky, Eugene. Characterization of operators in non-gaussian infinite dimensional analysis.

Degree: PhD, Mathematics, 2003, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409

► It is known that many constructions arising in the classical Gaussian infinite dimensional analysis can be extended to the case of more general measures. One…
(more)

Subjects/Keywords: Mathematics; White Noise Operators; Biorthogonal Appell systems

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APA (6^{th} Edition):

Yablonsky, E. (2003). Characterization of operators in non-gaussian infinite dimensional analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409

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

Yablonsky, Eugene. “Characterization of operators in non-gaussian infinite dimensional analysis.” 2003. Doctoral Dissertation, The Ohio State University. Accessed July 09, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409.

MLA Handbook (7^{th} Edition):

Yablonsky, Eugene. “Characterization of operators in non-gaussian infinite dimensional analysis.” 2003. Web. 09 Jul 2020.

Vancouver:

Yablonsky E. Characterization of operators in non-gaussian infinite dimensional analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2003. [cited 2020 Jul 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409.

Council of Science Editors:

Yablonsky E. Characterization of operators in non-gaussian infinite dimensional analysis. [Doctoral Dissertation]. The Ohio State University; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409

UCLA

10.
Yan, Ming.
Image and Signal Processing with Non-Gaussian *Noise*: EM-Type Algorithms and Adaptive Outlier Pursuit.

Degree: Mathematics, 2012, UCLA

URL: http://www.escholarship.org/uc/item/51v8h8sp

► Most of the studies of *noise*-induced phenomena assume that the *noise* source is Gaussian because of the possibility of obtaining some analytical results when working…
(more)

Subjects/Keywords: Mathematics; 1-Bit Compressive Sensing; adaptive outlier pursuit; EM-type algorithms; Impulse Noise; Poisson data; sparsely corrupted data

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APA (6^{th} Edition):

Yan, M. (2012). Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/51v8h8sp

Not specified: Masters Thesis or Doctoral Dissertation

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

Yan, Ming. “Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.” 2012. Thesis, UCLA. Accessed July 09, 2020. http://www.escholarship.org/uc/item/51v8h8sp.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yan, Ming. “Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.” 2012. Web. 09 Jul 2020.

Vancouver:

Yan M. Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. [Internet] [Thesis]. UCLA; 2012. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/51v8h8sp.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yan M. Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. [Thesis]. UCLA; 2012. Available from: http://www.escholarship.org/uc/item/51v8h8sp

Not specified: Masters Thesis or Doctoral Dissertation

Vanderbilt University

11. Leonetti, Casey Clark. Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces.

Degree: PhD, Mathematics, 2007, Vanderbilt University

URL: http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;

► In the following chapters we provide error estimates for signals reconstructed from corrupt data. Two different types of error are considered. First, we address the…
(more)

Subjects/Keywords: jitter; noise; sampling; shift-invariant space; frame; fourier

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APA (6^{th} Edition):

Leonetti, C. C. (2007). Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;

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

Leonetti, Casey Clark. “Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces.” 2007. Doctoral Dissertation, Vanderbilt University. Accessed July 09, 2020. http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;.

MLA Handbook (7^{th} Edition):

Leonetti, Casey Clark. “Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces.” 2007. Web. 09 Jul 2020.

Vancouver:

Leonetti CC. Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces. [Internet] [Doctoral dissertation]. Vanderbilt University; 2007. [cited 2020 Jul 09]. Available from: http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;.

Council of Science Editors:

Leonetti CC. Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces. [Doctoral Dissertation]. Vanderbilt University; 2007. Available from: http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;

University of Florida

12.
Posirca, Iulia M.
Variational Models for Simultaneous Image Segmentation and *Noise* Removal.

Degree: PhD, Mathematics, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044953

► We present two projects for simultaneous image segmentation and *noise* removal. The first project concerns the images corrupted with Gaussian *noise* and the second one…
(more)

Subjects/Keywords: Data smoothing; Image processing; Image reconstruction; Imaging; Mathematics; Modeling; Pixels; Statistical models; Supernova remnants; Ultrasonography; image – noise – segmentation – variational

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

APA (6^{th} Edition):

Posirca, I. M. (2012). Variational Models for Simultaneous Image Segmentation and Noise Removal. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044953

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

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Doctoral Dissertation, University of Florida. Accessed July 09, 2020. https://ufdc.ufl.edu/UFE0044953.

MLA Handbook (7^{th} Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Web. 09 Jul 2020.

Vancouver:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Jul 09]. Available from: https://ufdc.ufl.edu/UFE0044953.

Council of Science Editors:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044953

13. Wang, Yi. Robust hybrid linear modeling and its applications.

Degree: PhD, Mathematics, 2012, University of Minnesota

URL: http://purl.umn.edu/139778

► Hybrid Linear Modeling (HLM) uses a set of affine subspaces to model data and has been widely used in computer vision. However, many segmentation algorithms…
(more)

Subjects/Keywords: Blind inpainting; Hybrid linear modeling; Impulsive noise; Low rank; Sparsity

…*noise* and blind inpainting
(i.e., inpainting when the deteriorated region is unknown)… …dimensional subspaces,
corrupted by sparse but perhaps large magnitude *noise*. For this purpose, we… …corrupted with impulsive *noise*, and
the problem of blind inpainting where the image has been… …corrupted with Gaussian *noise* as well as at standard inpainting with corruptions
√
4
in known… …the case of Gaussian *noise*, “best” is usually chosen to
be measured by Frobenius norm, in…

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

APA (6^{th} Edition):

Wang, Y. (2012). Robust hybrid linear modeling and its applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/139778

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

Wang, Yi. “Robust hybrid linear modeling and its applications.” 2012. Doctoral Dissertation, University of Minnesota. Accessed July 09, 2020. http://purl.umn.edu/139778.

MLA Handbook (7^{th} Edition):

Wang, Yi. “Robust hybrid linear modeling and its applications.” 2012. Web. 09 Jul 2020.

Vancouver:

Wang Y. Robust hybrid linear modeling and its applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2012. [cited 2020 Jul 09]. Available from: http://purl.umn.edu/139778.

Council of Science Editors:

Wang Y. Robust hybrid linear modeling and its applications. [Doctoral Dissertation]. University of Minnesota; 2012. Available from: http://purl.umn.edu/139778

University of Florida

14. Zhang, Haili. Mathematical Modeling for Image Segmentation and Restoration.

Degree: PhD, Mathematics, 2013, University of Florida

URL: https://ufdc.ufl.edu/UFE0045847

► This thesis is devoted to the formulation, implementation, and improvement of mathematical models and efficient algorithms for image segmentation and image restoration using tools based…
(more)

Subjects/Keywords: Algorithms; Eigenfunctions; Gray matter; Histograms; Image processing; Images of transformations; Inhomogeneity; Noise intensity; Parametric models; Pixels; algorithm – deblurring – denoising – nonparametric – restoration – segmentation

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

APA (6^{th} Edition):

Zhang, H. (2013). Mathematical Modeling for Image Segmentation and Restoration. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045847

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

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Doctoral Dissertation, University of Florida. Accessed July 09, 2020. https://ufdc.ufl.edu/UFE0045847.

MLA Handbook (7^{th} Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Web. 09 Jul 2020.

Vancouver:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Jul 09]. Available from: https://ufdc.ufl.edu/UFE0045847.

Council of Science Editors:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045847

The Ohio State University

15. McKinley, Scott Alister. An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution.

Degree: PhD, Mathematics, 2006, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682

► This work concerns the fluctuating hydrodynamics of various materials immersed in a fluid. Physically speaking, we work in a regime where macro- and microscopic…
(more)

Subjects/Keywords: Mathematics; stochastic partial differential equation; polymer in dilute solution; stochastic Navier-Stokes; coloured noise

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APA (6^{th} Edition):

McKinley, S. A. (2006). An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682

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

McKinley, Scott Alister. “An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution.” 2006. Doctoral Dissertation, The Ohio State University. Accessed July 09, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682.

MLA Handbook (7^{th} Edition):

McKinley, Scott Alister. “An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution.” 2006. Web. 09 Jul 2020.

Vancouver:

McKinley SA. An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution. [Internet] [Doctoral dissertation]. The Ohio State University; 2006. [cited 2020 Jul 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682.

Council of Science Editors:

McKinley SA. An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution. [Doctoral Dissertation]. The Ohio State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682

16. Hoang, Tuan A. Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls.

Degree: PhD, Mathematics, 2017, Wayne State University

URL: https://digitalcommons.wayne.edu/oa_dissertations/1708

► This dissertation is concerned with the so-called stochastic hybrid systems, which are featured by the coexistence of continuous dynamics and discrete events and their…
(more)

Subjects/Keywords: Hybrid Stochastic Systems; Limit Theorems; Markovian Switching; Milstein's scheme; Wide-band noise; Mathematics

…the *noise* is often non-Markovian and the so-called
“white *noise*” is only an idealization and… …lieu of a Brownian motion *noise*, we
use a wide-band *noise* formulation, which facilitates the… …treatment of non-Markovian models.
The wide-band *noise* is one whose spectrum has band width wide… …enough. We work with
a basic stationary mixing type process. On top of this wide-band *noise*… …*noise*
15
σk,l (t, x, i0 ) = σk,l (t, i0 ), or linear *noise* where σk,l…

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APA (6^{th} Edition):

Hoang, T. A. (2017). Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1708

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

Hoang, Tuan A. “Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls.” 2017. Doctoral Dissertation, Wayne State University. Accessed July 09, 2020. https://digitalcommons.wayne.edu/oa_dissertations/1708.

MLA Handbook (7^{th} Edition):

Hoang, Tuan A. “Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls.” 2017. Web. 09 Jul 2020.

Vancouver:

Hoang TA. Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls. [Internet] [Doctoral dissertation]. Wayne State University; 2017. [cited 2020 Jul 09]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1708.

Council of Science Editors:

Hoang TA. Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls. [Doctoral Dissertation]. Wayne State University; 2017. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1708

Texas Tech University

17.
Li, Zhu.
An inverse problem for linear dynamic systems with * noise*.

Degree: Mathematics, 1991, Texas Tech University

URL: http://hdl.handle.net/2346/12006

Subjects/Keywords: Random noise theory; Stochastic processes; Linear time invariant systems; Inverse problems (Differential equations); Stochastic analysis

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

APA (6^{th} Edition):

Li, Z. (1991). An inverse problem for linear dynamic systems with noise. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/12006

Not specified: Masters Thesis or Doctoral Dissertation

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

Li, Zhu. “An inverse problem for linear dynamic systems with noise.” 1991. Thesis, Texas Tech University. Accessed July 09, 2020. http://hdl.handle.net/2346/12006.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Zhu. “An inverse problem for linear dynamic systems with noise.” 1991. Web. 09 Jul 2020.

Vancouver:

Li Z. An inverse problem for linear dynamic systems with noise. [Internet] [Thesis]. Texas Tech University; 1991. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/2346/12006.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Z. An inverse problem for linear dynamic systems with noise. [Thesis]. Texas Tech University; 1991. Available from: http://hdl.handle.net/2346/12006

Not specified: Masters Thesis or Doctoral Dissertation

Texas Tech University

18. Randeniya, Duminda I B. Filtering and estimating methodology in wildlife telemetry.

Degree: Mathematics, 2003, Texas Tech University

URL: http://hdl.handle.net/2346/14522

► Estimating the location of a free-ranging animal accurately from noisy directional data is treated here in this study by using two widely used filtering techniques…
(more)

Subjects/Keywords: Telecommunication – Research – Mathematical mode; Electronic noise; Biotelemetry – Research – Mathematical models; Global positioning system (GPS); Kalman filtering – Mathematical models

Record Details Similar Records

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

APA (6^{th} Edition):

Randeniya, D. I. B. (2003). Filtering and estimating methodology in wildlife telemetry. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/14522

Not specified: Masters Thesis or Doctoral Dissertation

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

Randeniya, Duminda I B. “Filtering and estimating methodology in wildlife telemetry.” 2003. Thesis, Texas Tech University. Accessed July 09, 2020. http://hdl.handle.net/2346/14522.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Randeniya, Duminda I B. “Filtering and estimating methodology in wildlife telemetry.” 2003. Web. 09 Jul 2020.

Vancouver:

Randeniya DIB. Filtering and estimating methodology in wildlife telemetry. [Internet] [Thesis]. Texas Tech University; 2003. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/2346/14522.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Randeniya DIB. Filtering and estimating methodology in wildlife telemetry. [Thesis]. Texas Tech University; 2003. Available from: http://hdl.handle.net/2346/14522

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

19. Jimenez, David. Two problems in signal quantization and A/D conversion.

Degree: PhD, Mathematics, 2008, Georgia Tech

URL: http://hdl.handle.net/1853/24637

► We consider two different problems in quantization theory. During the first part we discuss the so called Bennett's White *Noise* Hypothesis, introduced to study quantization…
(more)

Subjects/Keywords: Encoder; Quantization; A/D Conversion; White noise theory; Frames (Vector analysis); Analog To Digital converters

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

APA (6^{th} Edition):

Jimenez, D. (2008). Two problems in signal quantization and A/D conversion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24637

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

Jimenez, David. “Two problems in signal quantization and A/D conversion.” 2008. Doctoral Dissertation, Georgia Tech. Accessed July 09, 2020. http://hdl.handle.net/1853/24637.

MLA Handbook (7^{th} Edition):

Jimenez, David. “Two problems in signal quantization and A/D conversion.” 2008. Web. 09 Jul 2020.

Vancouver:

Jimenez D. Two problems in signal quantization and A/D conversion. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1853/24637.

Council of Science Editors:

Jimenez D. Two problems in signal quantization and A/D conversion. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24637

20. Almada Monter, Sergio Angel. Scaling limit for the diffusion exit problem.

Degree: PhD, Mathematics, 2011, Georgia Tech

URL: http://hdl.handle.net/1853/39518

► A stochastic differential equation with vanishing martingale term is studied. Specifically, given a domain D, the asymptotic scaling properties of both the exit time from…
(more)

Subjects/Keywords: Stochastic calculus; Small noise; Stochastic dynamics; Probability; Dynamical systems; Stochastic differential equations; Stochastic analysis; Dynamics

…drift vector field. The proof then proceeds by estimates that propagate the small *noise* nature… …stochastic pathwise expansions
in *noise* intensity series.
x
CHAPTER I
INTRODUCTION
In this… …thesis we study the so called exit problem [34, Section 4.3] for small *noise*… …x5B;34], [52]. The small *noise* diffusion framework has attracted the interest… …the set of problems relating to small *noise* diffusion has
found applications in climate…

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

APA (6^{th} Edition):

Almada Monter, S. A. (2011). Scaling limit for the diffusion exit problem. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39518

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

Almada Monter, Sergio Angel. “Scaling limit for the diffusion exit problem.” 2011. Doctoral Dissertation, Georgia Tech. Accessed July 09, 2020. http://hdl.handle.net/1853/39518.

MLA Handbook (7^{th} Edition):

Almada Monter, Sergio Angel. “Scaling limit for the diffusion exit problem.” 2011. Web. 09 Jul 2020.

Vancouver:

Almada Monter SA. Scaling limit for the diffusion exit problem. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1853/39518.

Council of Science Editors:

Almada Monter SA. Scaling limit for the diffusion exit problem. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39518

Vilnius Gediminas Technical University

21. Rekašius, Tomas. Evoliucinis neinformatyvių genetinių sekų modelis.

Degree: Dissertation, Mathematics, 2007, Vilnius Gediminas Technical University

URL: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;

► The research object is probabilistic properties of non-coding DNA (nucleotide) sequences. Available models of DNA sequences are reviewed and their basic assumptions are verified by…
(more)

Subjects/Keywords: Genetic noise; DNR; Neinformatyvi genetinė seka; Context-dependent model; Markovo grandinė; DNA; Kontekstinis mutavimo modelis; Non-informative genetic sequence; Markov chain; Genetinis triukšmas

Record Details Similar Records

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

APA (6^{th} Edition):

Rekašius, T. (2007). Evoliucinis neinformatyvių genetinių sekų modelis. (Doctoral Dissertation). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;

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

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Doctoral Dissertation, Vilnius Gediminas Technical University. Accessed July 09, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;.

MLA Handbook (7^{th} Edition):

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Web. 09 Jul 2020.

Vancouver:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Internet] [Doctoral dissertation]. Vilnius Gediminas Technical University; 2007. [cited 2020 Jul 09]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;.

Council of Science Editors:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Doctoral Dissertation]. Vilnius Gediminas Technical University; 2007. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;

Vilnius Gediminas Technical University

22. Rekašius, Tomas. Evoliucinis neinformatyvių genetinių sekų modelis.

Degree: PhD, Mathematics, 2007, Vilnius Gediminas Technical University

URL: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;

► The research object is probabilistic properties of non-coding DNA (nucleotide) sequences. Available models of DNA sequences are reviewed and their basic assumptions are verified by…
(more)

Subjects/Keywords: Genetinis triukšmas; Context-dependent model; Neinformatyvi nukleotidų seka; Kontekstinis mutavimo modelis; Markovo grandinė; Genetic noise; DNR; Non-informative genetic sequence; Markov chain; DNA

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Rekašius, T. (2007). Evoliucinis neinformatyvių genetinių sekų modelis. (Doctoral Dissertation). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;

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

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Doctoral Dissertation, Vilnius Gediminas Technical University. Accessed July 09, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;.

MLA Handbook (7^{th} Edition):

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Web. 09 Jul 2020.

Vancouver:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Internet] [Doctoral dissertation]. Vilnius Gediminas Technical University; 2007. [cited 2020 Jul 09]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;.

Council of Science Editors:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Doctoral Dissertation]. Vilnius Gediminas Technical University; 2007. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;

23. Rackauckas, Christopher Vincent. Simulation and Control of Biological Stochasticity.

Degree: Mathematics, 2018, University of California – Irvine

URL: http://www.escholarship.org/uc/item/4k41h9gz

► Stochastic models of biochemical interactions elucidate essential properties of the network which are not accessible to deterministic modeling. In this thesis it is described how…
(more)

Subjects/Keywords: Applied mathematics; Systematic biology; Developmental biology; adaptive time stepping; Julia; noise control; rejection sampling; Runge-Kutta; stochastic

…Strategy for *Noise* Attenuation. (A)
A diagram of the retinoic acid (RA)… …the ζ distribution due to additive *noise*. The models were solved
using the Euler-Maruyama… …Histograms depicting the ζ distribution due to multiplicative *noise*.
The models were solved using… …the results were averaged. . . . . . . . .
*Noise* Levels Distinguish Between Models and… …events. BP production was taken as 5, 15, . . . , 105 and Hox-Krox regulatory
*noise* was taken…

Record Details Similar Records

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

APA (6^{th} Edition):

Rackauckas, C. V. (2018). Simulation and Control of Biological Stochasticity. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/4k41h9gz

Not specified: Masters Thesis or Doctoral Dissertation

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

Rackauckas, Christopher Vincent. “Simulation and Control of Biological Stochasticity.” 2018. Thesis, University of California – Irvine. Accessed July 09, 2020. http://www.escholarship.org/uc/item/4k41h9gz.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rackauckas, Christopher Vincent. “Simulation and Control of Biological Stochasticity.” 2018. Web. 09 Jul 2020.

Vancouver:

Rackauckas CV. Simulation and Control of Biological Stochasticity. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/4k41h9gz.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rackauckas CV. Simulation and Control of Biological Stochasticity. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/4k41h9gz

Not specified: Masters Thesis or Doctoral Dissertation