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Texas A&M University

1. Pattillo, Jeffrey. Mathematical Foundations and Algorithms for Clique Relaxations in Networks.

Degree: PhD, Mathematics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10540

► This dissertation establishes mathematical foundations for the properties exhibited by generalizations of cliques, as well as algorithms to find such objects in a network. Cliques…
(more)

Subjects/Keywords: clique relaxations; graph theory; optimization; networks; algorithms; complexity

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APA (6^{th} Edition):

Pattillo, J. (2012). Mathematical Foundations and Algorithms for Clique Relaxations in Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10540

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

Pattillo, Jeffrey. “Mathematical Foundations and Algorithms for Clique Relaxations in Networks.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10540.

MLA Handbook (7^{th} Edition):

Pattillo, Jeffrey. “Mathematical Foundations and Algorithms for Clique Relaxations in Networks.” 2012. Web. 19 Oct 2020.

Vancouver:

Pattillo J. Mathematical Foundations and Algorithms for Clique Relaxations in Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10540.

Council of Science Editors:

Pattillo J. Mathematical Foundations and Algorithms for Clique Relaxations in Networks. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10540

Texas A&M University

2. Li, Di. Distributed Signal Processing over Large-Scale Complex Systems.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161279

► Large-scale and complex dynamical networks with high-dimension states have been emerging in the era of big data, which potentially generate massive data sets. To deal…
(more)

Subjects/Keywords: Signal processing; large system; distributed algorithm; Kalman filtering; quickest detection

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APA (6^{th} Edition):

Li, D. (2017). Distributed Signal Processing over Large-Scale Complex Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161279

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

Li, Di. “Distributed Signal Processing over Large-Scale Complex Systems.” 2017. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/161279.

MLA Handbook (7^{th} Edition):

Li, Di. “Distributed Signal Processing over Large-Scale Complex Systems.” 2017. Web. 19 Oct 2020.

Vancouver:

Li D. Distributed Signal Processing over Large-Scale Complex Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/161279.

Council of Science Editors:

Li D. Distributed Signal Processing over Large-Scale Complex Systems. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161279

Texas A&M University

3. Liang, Zhongwen. Limited Dependent Variable Correlated Random Coefficient Panel Data Models.

Degree: PhD, Economics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682

► In this dissertation, I consider linear, binary response correlated random coefficient (CRC) panel data models and a truncated CRC panel data model which are frequently…
(more)

Subjects/Keywords: Limited dependent variable; Panel data; Nonparametric; Binary response; Truncated; Correlated random coefficient

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APA (6^{th} Edition):

Liang, Z. (2012). Limited Dependent Variable Correlated Random Coefficient Panel Data Models. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682

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

Liang, Zhongwen. “Limited Dependent Variable Correlated Random Coefficient Panel Data Models.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682.

MLA Handbook (7^{th} Edition):

Liang, Zhongwen. “Limited Dependent Variable Correlated Random Coefficient Panel Data Models.” 2012. Web. 19 Oct 2020.

Vancouver:

Liang Z. Limited Dependent Variable Correlated Random Coefficient Panel Data Models. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682.

Council of Science Editors:

Liang Z. Limited Dependent Variable Correlated Random Coefficient Panel Data Models. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682

Texas A&M University

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

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

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

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

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

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APA (6^{th} Edition):

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

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

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/155626.

MLA Handbook (7^{th} Edition):

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Web. 19 Oct 2020.

Vancouver:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/155626.

Council of Science Editors:

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

Texas A&M University

5. Goldsmith, Aaron Seth. LASSO Asymptotics For Heavy Tailed Errors.

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

URL: http://hdl.handle.net/1969.1/156229

We consider the asymptotic behavior of the l^{1} regularized least squares estimator (LASSO) for the linear regression model
Y=X(beta)+xi
with training data (X,Y) in R^{nxp}xR^{n}, true parameter beta in R^{p}, and observation noise xi in R^{n}. The LASSO estimator, defined by
betahat in argmin_{u in Rp}||Xu-Y||^{2+lambda}||u||_{1}
introduces a bias toward 0 to encourage sparse estimates. LASSO has become a staple in the statistician’s breadbasket; it behaves very well and is quickly computed.
In the case that xi_{i} are i.i.d. with E|xi_{i}|^{alpha}<alphat}=t^{-alpha} for some 1<alpha<2, Chatterjee and Lahiri found the exact rate, almost surely, for which the LASSO betahat tends to beta. We consider instead xi I that are i.i.d., possess all moments less than alpha, and eventually nearly follow a Pareto tail P{|xi_{i}|>t}=t^{-alpha} Specifically, we only require that the tails of xi_{i} to be regularly varying.
We center and scale both the quantity inside the arg min and betahat itself to prepare for a CLT. We find conditions that promise both convergence (uniformly over a class of designs X) of the quantity inside the arg min and uniform tightness of the centered, scaled bethahat. Then, we use a standard theorem to pass to uniform convergence of the centered, scaled betahat. Finally, we use a basic inequality to prove rate consistency for betahat when p is allowed to increase with n.
*Advisors/Committee Members: Zinn, Joel (advisor), Schlumprecht, Thomas (committee member), Rojas, Maurice (committee member), Mueller-Harknett, Ursula (committee member).*

Subjects/Keywords: LASSO; Weak Convergence; Regular Variation; Heavy Tails

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APA (6^{th} Edition):

Goldsmith, A. S. (2015). LASSO Asymptotics For Heavy Tailed Errors. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156229

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

Goldsmith, Aaron Seth. “LASSO Asymptotics For Heavy Tailed Errors.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/156229.

MLA Handbook (7^{th} Edition):

Goldsmith, Aaron Seth. “LASSO Asymptotics For Heavy Tailed Errors.” 2015. Web. 19 Oct 2020.

Vancouver:

Goldsmith AS. LASSO Asymptotics For Heavy Tailed Errors. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/156229.

Council of Science Editors:

Goldsmith AS. LASSO Asymptotics For Heavy Tailed Errors. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156229

Texas A&M University

6. Yang, Yuping. Central Limit Theorems for Empirical Processes Based on Stochastic Processes.

Degree: PhD, Mathematics, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151373

► In this thesis, we study time-dependent empirical processes, which extend the classical empirical processes to have a time parameter; for example the empirical process for…
(more)

Subjects/Keywords: Central limit theorem; time dependent data

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APA (6^{th} Edition):

Yang, Y. (2013). Central Limit Theorems for Empirical Processes Based on Stochastic Processes. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151373

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

Yang, Yuping. “Central Limit Theorems for Empirical Processes Based on Stochastic Processes.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/151373.

MLA Handbook (7^{th} Edition):

Yang, Yuping. “Central Limit Theorems for Empirical Processes Based on Stochastic Processes.” 2013. Web. 19 Oct 2020.

Vancouver:

Yang Y. Central Limit Theorems for Empirical Processes Based on Stochastic Processes. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/151373.

Council of Science Editors:

Yang Y. Central Limit Theorems for Empirical Processes Based on Stochastic Processes. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151373

Texas A&M University

7. Chen, Lianfu. Topics on Regularization of Parameters in Multivariate Linear Regression.

Degree: PhD, Statistics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10644

► My dissertation mainly focuses on the regularization of parameters in the multivariate linear regression under different assumptions on the distribution of the errors. It consists…
(more)

Subjects/Keywords: Eigenvector; EM algorithm; Lasso regression; Multivariate skew-normal and skew-t: Penalty; Regularization.

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APA (6^{th} Edition):

Chen, L. (2012). Topics on Regularization of Parameters in Multivariate Linear Regression. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10644

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

Chen, Lianfu. “Topics on Regularization of Parameters in Multivariate Linear Regression.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10644.

MLA Handbook (7^{th} Edition):

Chen, Lianfu. “Topics on Regularization of Parameters in Multivariate Linear Regression.” 2012. Web. 19 Oct 2020.

Vancouver:

Chen L. Topics on Regularization of Parameters in Multivariate Linear Regression. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10644.

Council of Science Editors:

Chen L. Topics on Regularization of Parameters in Multivariate Linear Regression. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10644

Texas A&M University

8. Chown, Justin Andrew. New Approaches in Testing Common Assumptions for Regressions with Missing Data.

Degree: PhD, Statistics, 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/153510

► We consider both nonparametric regression and heteroskedastic nonparametric regression models with multivariate covariates and with responses missing at random. The regression function is estimated using…
(more)

Subjects/Keywords: nonparametric; regression; empirical distribution function; test for normality; transfer principle; efficient estimator; goodness-of-fit test; heteroskedasticity; weighted empirical process; test for heteroskedasticity; distribution free; martingale transform; residual-based; Brownian motion; Brownian bridge

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APA (6^{th} Edition):

Chown, J. A. (2014). New Approaches in Testing Common Assumptions for Regressions with Missing Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153510

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

Chown, Justin Andrew. “New Approaches in Testing Common Assumptions for Regressions with Missing Data.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/153510.

MLA Handbook (7^{th} Edition):

Chown, Justin Andrew. “New Approaches in Testing Common Assumptions for Regressions with Missing Data.” 2014. Web. 19 Oct 2020.

Vancouver:

Chown JA. New Approaches in Testing Common Assumptions for Regressions with Missing Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/153510.

Council of Science Editors:

Chown JA. New Approaches in Testing Common Assumptions for Regressions with Missing Data. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153510

Texas A&M University

9. Mukhopadhyay, Subhadeep. Nonparametric Inference for High Dimensional Data.

Degree: PhD, Statistics, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/149430

► Learning from data, especially ‘Big Data’, is becoming increasingly popular under names such as Data Mining, Data Science, Machine Learning, Statistical Learning and High Dimensional…
(more)

Subjects/Keywords: Big data; Quantile; Empirical Likelihood; LP score function; Copula; Nonparametric; Classification; Data Science

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APA (6^{th} Edition):

Mukhopadhyay, S. (2013). Nonparametric Inference for High Dimensional Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149430

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

Mukhopadhyay, Subhadeep. “Nonparametric Inference for High Dimensional Data.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/149430.

MLA Handbook (7^{th} Edition):

Mukhopadhyay, Subhadeep. “Nonparametric Inference for High Dimensional Data.” 2013. Web. 19 Oct 2020.

Vancouver:

Mukhopadhyay S. Nonparametric Inference for High Dimensional Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/149430.

Council of Science Editors:

Mukhopadhyay S. Nonparametric Inference for High Dimensional Data. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149430

Texas A&M University

10. Jiang, Xingde. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.

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

URL: http://hdl.handle.net/1969.1/158920

► Bolstered resubstitution is a simple and fast error estimation method that has been shown to perform better than cross-validation and comparably with bootstrap in small-sample…
(more)

Subjects/Keywords: pattern recognition; naive-Bayes; bolstered error estimation; model selection; RNA-Seq; bioinformatics; banana cultivars; drought stress; pathogen disease; genes and pathways; biotic and abiotic stress; pathway analysis

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APA (6^{th} Edition):

Jiang, X. (2016). Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158920

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

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/158920.

MLA Handbook (7^{th} Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Web. 19 Oct 2020.

Vancouver:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/158920.

Council of Science Editors:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158920

11. Crawford, Scott. Efficient Estimation in a Regression Model with Missing Responses.

Degree: PhD, Statistics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11396

► This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses…
(more)

Subjects/Keywords: Efficiency; Missing at Random; Regression; Full Imputation

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APA (6^{th} Edition):

Crawford, S. (2012). Efficient Estimation in a Regression Model with Missing Responses. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11396

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

Crawford, Scott. “Efficient Estimation in a Regression Model with Missing Responses.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11396.

MLA Handbook (7^{th} Edition):

Crawford, Scott. “Efficient Estimation in a Regression Model with Missing Responses.” 2012. Web. 19 Oct 2020.

Vancouver:

Crawford S. Efficient Estimation in a Regression Model with Missing Responses. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11396.

Council of Science Editors:

Crawford S. Efficient Estimation in a Regression Model with Missing Responses. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11396

12. Linz, William Barham. Investigation of a Markov Chain on Ferrers Boards.

Degree: MS, Mathematics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157094

► This thesis is an investigation of some of the basic combinatorial, algebraic and probabilistic properties of a Markov chain on Ferrers Boards (i.e., a Markov…
(more)

Subjects/Keywords: Tsetlin Library; ferrers board; Markov chain

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APA (6^{th} Edition):

Linz, W. B. (2016). Investigation of a Markov Chain on Ferrers Boards. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157094

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

Linz, William Barham. “Investigation of a Markov Chain on Ferrers Boards.” 2016. Masters Thesis, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/157094.

MLA Handbook (7^{th} Edition):

Linz, William Barham. “Investigation of a Markov Chain on Ferrers Boards.” 2016. Web. 19 Oct 2020.

Vancouver:

Linz WB. Investigation of a Markov Chain on Ferrers Boards. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/157094.

Council of Science Editors:

Linz WB. Investigation of a Markov Chain on Ferrers Boards. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157094

13. Ouyang, Desheng. Nonparametric estimation of econometric models with categorical variables.

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

URL: http://hdl.handle.net/1969.1/4298

► In this dissertation I investigate several topics in the field of nonparametric econometrics. In chapter II, we consider the problem of estimating a nonparametric regression…
(more)

Subjects/Keywords: NONPARAQMETRIC; CATEGORICAL

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APA (6^{th} Edition):

Ouyang, D. (2006). Nonparametric estimation of econometric models with categorical variables. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4298

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

Ouyang, Desheng. “Nonparametric estimation of econometric models with categorical variables.” 2006. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/4298.

MLA Handbook (7^{th} Edition):

Ouyang, Desheng. “Nonparametric estimation of econometric models with categorical variables.” 2006. Web. 19 Oct 2020.

Vancouver:

Ouyang D. Nonparametric estimation of econometric models with categorical variables. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/4298.

Council of Science Editors:

Ouyang D. Nonparametric estimation of econometric models with categorical variables. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4298

14. Ward, John P. L^p Bernstein Inequalities and Radial Basis Function Approximation.

Degree: PhD, Mathematics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8404

► In approximation theory, three classical types of results are direct theorems, Bernstein inequalities, and inverse theorems. In this paper, we include results about radial basis…
(more)

Subjects/Keywords: radial basis functions; Bernstein inequalities

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APA (6^{th} Edition):

Ward, J. P. (2012). L^p Bernstein Inequalities and Radial Basis Function Approximation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8404

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

Ward, John P. “L^p Bernstein Inequalities and Radial Basis Function Approximation.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8404.

MLA Handbook (7^{th} Edition):

Ward, John P. “L^p Bernstein Inequalities and Radial Basis Function Approximation.” 2012. Web. 19 Oct 2020.

Vancouver:

Ward JP. L^p Bernstein Inequalities and Radial Basis Function Approximation. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8404.

Council of Science Editors:

Ward JP. L^p Bernstein Inequalities and Radial Basis Function Approximation. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8404

15. Bailey, Benjamin Aaron. Studies in Interpolation and Approximation of Multivariate Bandlimited Functions.

Degree: PhD, Mathematics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9967

► The focus of this dissertation is the interpolation and approximation of multivariate bandlimited functions via sampled (function) values. The first set of results investigates polynomial…
(more)

Subjects/Keywords: bandlimited functions; polynomial interpolation; approximation; oversampling

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APA (6^{th} Edition):

Bailey, B. A. (2012). Studies in Interpolation and Approximation of Multivariate Bandlimited Functions. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9967

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

Bailey, Benjamin Aaron. “Studies in Interpolation and Approximation of Multivariate Bandlimited Functions.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9967.

MLA Handbook (7^{th} Edition):

Bailey, Benjamin Aaron. “Studies in Interpolation and Approximation of Multivariate Bandlimited Functions.” 2012. Web. 19 Oct 2020.

Vancouver:

Bailey BA. Studies in Interpolation and Approximation of Multivariate Bandlimited Functions. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9967.

Council of Science Editors:

Bailey BA. Studies in Interpolation and Approximation of Multivariate Bandlimited Functions. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9967

Texas A&M University

16. Zheng, Bentuo. Embeddings and factorizations of Banach spaces.

Degree: PhD, Mathematics, 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1551

► One problem, considered important in Banach space theory since at least the 1970’s, asks for intrinsic characterizations of subspaces of a Banach space with an…
(more)

Subjects/Keywords: embeddings; factorizations

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

APA (6^{th} Edition):

Zheng, B. (2009). Embeddings and factorizations of Banach spaces. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1551

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

Zheng, Bentuo. “Embeddings and factorizations of Banach spaces.” 2009. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1551.

MLA Handbook (7^{th} Edition):

Zheng, Bentuo. “Embeddings and factorizations of Banach spaces.” 2009. Web. 19 Oct 2020.

Vancouver:

Zheng B. Embeddings and factorizations of Banach spaces. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1551.

Council of Science Editors:

Zheng B. Embeddings and factorizations of Banach spaces. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1551

Texas A&M University

17. Boucher, Thomas Richard. V-uniform ergodicity of threshold autoregressive nonlinear time series.

Degree: PhD, Statistics, 2004, Texas A&M University

URL: http://hdl.handle.net/1969.1/292

► We investigate conditions for the ergodicity of threshold autoregressive time series by embedding the time series in a general state Markov chain and apply a…
(more)

Subjects/Keywords: ergodicity; V-uniform; nonlinear time series

Record Details Similar Records

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

APA (6^{th} Edition):

Boucher, T. R. (2004). V-uniform ergodicity of threshold autoregressive nonlinear time series. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/292

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

Boucher, Thomas Richard. “V-uniform ergodicity of threshold autoregressive nonlinear time series.” 2004. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/292.

MLA Handbook (7^{th} Edition):

Boucher, Thomas Richard. “V-uniform ergodicity of threshold autoregressive nonlinear time series.” 2004. Web. 19 Oct 2020.

Vancouver:

Boucher TR. V-uniform ergodicity of threshold autoregressive nonlinear time series. [Internet] [Doctoral dissertation]. Texas A&M University; 2004. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/292.

Council of Science Editors:

Boucher TR. V-uniform ergodicity of threshold autoregressive nonlinear time series. [Doctoral Dissertation]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/292

Texas A&M University

18. Song, Juhee. Bootstrapping in a high dimensional but very low sample size problem.

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

URL: http://hdl.handle.net/1969.1/3853

► High Dimension, Low Sample Size (HDLSS) problems have received much attention recently in many areas of science. Analysis of microarray experiments is one such area.…
(more)

Subjects/Keywords: Bootstrap; Density Estimation; Clustering; High dimensional Data

Record Details Similar Records

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

APA (6^{th} Edition):

Song, J. (2006). Bootstrapping in a high dimensional but very low sample size problem. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/3853

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

Song, Juhee. “Bootstrapping in a high dimensional but very low sample size problem.” 2006. Doctoral Dissertation, Texas A&M University. Accessed October 19, 2020. http://hdl.handle.net/1969.1/3853.

MLA Handbook (7^{th} Edition):

Song, Juhee. “Bootstrapping in a high dimensional but very low sample size problem.” 2006. Web. 19 Oct 2020.

Vancouver:

Song J. Bootstrapping in a high dimensional but very low sample size problem. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Oct 19]. Available from: http://hdl.handle.net/1969.1/3853.

Council of Science Editors:

Song J. Bootstrapping in a high dimensional but very low sample size problem. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/3853