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You searched for +publisher:"Colorado State University" +contributor:("Wang, Haonan"). Showing records 1 – 30 of 33 total matches.

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Colorado State University

1. Al-Qawasmeh, Abdulla. Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption.

Degree: PhD, Electrical and Computer Engineering, 2012, Colorado State University

 Many computing systems are heterogeneous both in terms of the performance of their machines and in terms of the characteristics and computational complexity of the… (more)

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APA (6th Edition):

Al-Qawasmeh, A. (2012). Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/68161

Chicago Manual of Style (16th Edition):

Al-Qawasmeh, Abdulla. “Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption.” 2012. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/68161.

MLA Handbook (7th Edition):

Al-Qawasmeh, Abdulla. “Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption.” 2012. Web. 08 Mar 2021.

Vancouver:

Al-Qawasmeh A. Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/68161.

Council of Science Editors:

Al-Qawasmeh A. Heterogeneous computing environment characterization and thermal-aware scheduling strategies to optimize data center power consumption. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/68161


Colorado State University

2. Yu, Bo. Spectrum efficiency for future wireless communications.

Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University

 Spectrum efficiency has long been at the center of wireless communication research, development, and operation. Today, it is even more so with the explosive popularity… (more)

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APA (6th Edition):

Yu, B. (2015). Spectrum efficiency for future wireless communications. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/166861

Chicago Manual of Style (16th Edition):

Yu, Bo. “Spectrum efficiency for future wireless communications.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/166861.

MLA Handbook (7th Edition):

Yu, Bo. “Spectrum efficiency for future wireless communications.” 2015. Web. 08 Mar 2021.

Vancouver:

Yu B. Spectrum efficiency for future wireless communications. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/166861.

Council of Science Editors:

Yu B. Spectrum efficiency for future wireless communications. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166861


Colorado State University

3. Xiong, Qian. Methods for extremes of functional data.

Degree: PhD, Statistics, 2018, Colorado State University

 Motivated by the problem of extreme behavior of functional data, we develop statistical theory at the nexus of functional data analysis (FDA) and extreme value… (more)

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APA (6th Edition):

Xiong, Q. (2018). Methods for extremes of functional data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193167

Chicago Manual of Style (16th Edition):

Xiong, Qian. “Methods for extremes of functional data.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/193167.

MLA Handbook (7th Edition):

Xiong, Qian. “Methods for extremes of functional data.” 2018. Web. 08 Mar 2021.

Vancouver:

Xiong Q. Methods for extremes of functional data. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/193167.

Council of Science Editors:

Xiong Q. Methods for extremes of functional data. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193167


Colorado State University

4. Osnaga, Silvia Monica. Low rank representations of matrices using nuclear norm heuristics.

Degree: PhD, Mathematics, 2014, Colorado State University

 The pursuit of low dimensional structure from high dimensional data leads in many instances to the finding the lowest rank matrix among a parameterized family… (more)

Subjects/Keywords: chromatic number; convex optimization; Euclidean distance matrix completion; graph realizability; positive semidefinite cone

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APA (6th Edition):

Osnaga, S. M. (2014). Low rank representations of matrices using nuclear norm heuristics. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/83799

Chicago Manual of Style (16th Edition):

Osnaga, Silvia Monica. “Low rank representations of matrices using nuclear norm heuristics.” 2014. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/83799.

MLA Handbook (7th Edition):

Osnaga, Silvia Monica. “Low rank representations of matrices using nuclear norm heuristics.” 2014. Web. 08 Mar 2021.

Vancouver:

Osnaga SM. Low rank representations of matrices using nuclear norm heuristics. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/83799.

Council of Science Editors:

Osnaga SM. Low rank representations of matrices using nuclear norm heuristics. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/83799


Colorado State University

5. Chu, Tingjin. Parametric and semiparametric model estimation and selection in geostatistics.

Degree: PhD, Statistics, 2012, Colorado State University

 This dissertation is focused on geostatistical models, which are useful in many scientific disciplines, such as climatology, ecology and environmental monitoring. In the first part,… (more)

Subjects/Keywords: geostatistics; semiparametric; parametric

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APA (6th Edition):

Chu, T. (2012). Parametric and semiparametric model estimation and selection in geostatistics. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/68166

Chicago Manual of Style (16th Edition):

Chu, Tingjin. “Parametric and semiparametric model estimation and selection in geostatistics.” 2012. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/68166.

MLA Handbook (7th Edition):

Chu, Tingjin. “Parametric and semiparametric model estimation and selection in geostatistics.” 2012. Web. 08 Mar 2021.

Vancouver:

Chu T. Parametric and semiparametric model estimation and selection in geostatistics. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/68166.

Council of Science Editors:

Chu T. Parametric and semiparametric model estimation and selection in geostatistics. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/68166


Colorado State University

6. Zhang, Wenshu. Cooperative sensing for target estimation and target localization.

Degree: PhD, Electrical and Computer Engineering, 2011, Colorado State University

 As a novel sensing scheme, cooperative sensing has drawn great interests in recent years. By utilizing the concept of "cooperation", which incorporates communications and information… (more)

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APA (6th Edition):

Zhang, W. (2011). Cooperative sensing for target estimation and target localization. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/70658

Chicago Manual of Style (16th Edition):

Zhang, Wenshu. “Cooperative sensing for target estimation and target localization.” 2011. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/70658.

MLA Handbook (7th Edition):

Zhang, Wenshu. “Cooperative sensing for target estimation and target localization.” 2011. Web. 08 Mar 2021.

Vancouver:

Zhang W. Cooperative sensing for target estimation and target localization. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/70658.

Council of Science Editors:

Zhang W. Cooperative sensing for target estimation and target localization. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/70658


Colorado State University

7. Ma, Xiaoxiang. Refined-scale crash data analysis using multi-level regression models.

Degree: PhD, Civil and Environmental Engineering, 2016, Colorado State University

 Road traffic safety has long been a major public health problem for the general public and government agencies. Nevertheless, road traffic crashes continue to bring… (more)

Subjects/Keywords: multilevel; traffic safety; refined-scale; crash data analysis

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APA (6th Edition):

Ma, X. (2016). Refined-scale crash data analysis using multi-level regression models. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/178912

Chicago Manual of Style (16th Edition):

Ma, Xiaoxiang. “Refined-scale crash data analysis using multi-level regression models.” 2016. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/178912.

MLA Handbook (7th Edition):

Ma, Xiaoxiang. “Refined-scale crash data analysis using multi-level regression models.” 2016. Web. 08 Mar 2021.

Vancouver:

Ma X. Refined-scale crash data analysis using multi-level regression models. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/178912.

Council of Science Editors:

Ma X. Refined-scale crash data analysis using multi-level regression models. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/178912


Colorado State University

8. Wang, Lulu. Some topics on model-based clustering.

Degree: PhD, Statistics, 2016, Colorado State University

 Cluster analysis is widely applied in various areas. Model-based clustering, which assumes a mixture model, is one of the most useful approaches in clustering. Using… (more)

Subjects/Keywords: model-based clustering; semiparametric; non-Gaussian; high-dimensional

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APA (6th Edition):

Wang, L. (2016). Some topics on model-based clustering. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/178931

Chicago Manual of Style (16th Edition):

Wang, Lulu. “Some topics on model-based clustering.” 2016. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/178931.

MLA Handbook (7th Edition):

Wang, Lulu. “Some topics on model-based clustering.” 2016. Web. 08 Mar 2021.

Vancouver:

Wang L. Some topics on model-based clustering. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/178931.

Council of Science Editors:

Wang L. Some topics on model-based clustering. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/178931


Colorado State University

9. Heydaryanfroshani, Faeze. Distributed medium access control for an enhanced physical-link layer interface.

Degree: PhD, Electrical and Computer Engineering, 2020, Colorado State University

 Current wireless network architecture equips data link layer with binary transmission/idling options and gives the control of choosing other communication parameters to the physical layer.… (more)

Subjects/Keywords: MAC protocol; distributed wireless networks; wireless communication

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APA (6th Edition):

Heydaryanfroshani, F. (2020). Distributed medium access control for an enhanced physical-link layer interface. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/219595

Chicago Manual of Style (16th Edition):

Heydaryanfroshani, Faeze. “Distributed medium access control for an enhanced physical-link layer interface.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/219595.

MLA Handbook (7th Edition):

Heydaryanfroshani, Faeze. “Distributed medium access control for an enhanced physical-link layer interface.” 2020. Web. 08 Mar 2021.

Vancouver:

Heydaryanfroshani F. Distributed medium access control for an enhanced physical-link layer interface. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/219595.

Council of Science Editors:

Heydaryanfroshani F. Distributed medium access control for an enhanced physical-link layer interface. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/219595


Colorado State University

10. Fang, Luoyang. Data mining and spatiotemporal analysis of modern mobile data.

Degree: PhD, Electrical and Computer Engineering, 2019, Colorado State University

 Modern mobile network technologies and smartphones have successfully penetrated nearly every aspect of human life due to the increasing number of mobile applications and services.… (more)

Subjects/Keywords: location privacy; network management; spatiotemporal; mobile big data; cellular networks; prediction

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APA (6th Edition):

Fang, L. (2019). Data mining and spatiotemporal analysis of modern mobile data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/197361

Chicago Manual of Style (16th Edition):

Fang, Luoyang. “Data mining and spatiotemporal analysis of modern mobile data.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/197361.

MLA Handbook (7th Edition):

Fang, Luoyang. “Data mining and spatiotemporal analysis of modern mobile data.” 2019. Web. 08 Mar 2021.

Vancouver:

Fang L. Data mining and spatiotemporal analysis of modern mobile data. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/197361.

Council of Science Editors:

Fang L. Data mining and spatiotemporal analysis of modern mobile data. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197361


Colorado State University

11. Russell, Brook T. Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling.

Degree: PhD, Statistics, 2015, Colorado State University

 This dissertation presents novel work in statistical methods for extremes. Our underlying modeling procedure identifies the linear combination of covariates that is associated with extreme… (more)

Subjects/Keywords: multivariate regular variation; cross validation; tail dependence

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APA (6th Edition):

Russell, B. T. (2015). Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167102

Chicago Manual of Style (16th Edition):

Russell, Brook T. “Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/167102.

MLA Handbook (7th Edition):

Russell, Brook T. “Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling.” 2015. Web. 08 Mar 2021.

Vancouver:

Russell BT. Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/167102.

Council of Science Editors:

Russell BT. Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167102


Colorado State University

12. Tan, Hongyu. Modulated renewal process models with functional predictors for neural connectivities.

Degree: PhD, Statistics, 2015, Colorado State University

 Recurrent event data arise in fields such as medicine, business and social sciences. In general, there are two types of recurrent event data. One is… (more)

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APA (6th Edition):

Tan, H. (2015). Modulated renewal process models with functional predictors for neural connectivities. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170368

Chicago Manual of Style (16th Edition):

Tan, Hongyu. “Modulated renewal process models with functional predictors for neural connectivities.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/170368.

MLA Handbook (7th Edition):

Tan, Hongyu. “Modulated renewal process models with functional predictors for neural connectivities.” 2015. Web. 08 Mar 2021.

Vancouver:

Tan H. Modulated renewal process models with functional predictors for neural connectivities. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/170368.

Council of Science Editors:

Tan H. Modulated renewal process models with functional predictors for neural connectivities. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/170368


Colorado State University

13. Wang, Yuan. Linear system design for compression and fusion.

Degree: PhD, Statistics, 2013, Colorado State University

 This is a study of measurement compression and fusion design. The idea common to both problems is that measurements can often be linearly compressed into… (more)

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APA (6th Edition):

Wang, Y. (2013). Linear system design for compression and fusion. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80991

Chicago Manual of Style (16th Edition):

Wang, Yuan. “Linear system design for compression and fusion.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/80991.

MLA Handbook (7th Edition):

Wang, Yuan. “Linear system design for compression and fusion.” 2013. Web. 08 Mar 2021.

Vancouver:

Wang Y. Linear system design for compression and fusion. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/80991.

Council of Science Editors:

Wang Y. Linear system design for compression and fusion. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80991


Colorado State University

14. Tu, Yan. Penalized estimation procedure for varying coefficient models, A.

Degree: PhD, Statistics, 2015, Colorado State University

 Varying coefficient models are widely used for analyzing longitudinal data. Various methods for estimating coefficient functions have been developed over the years. We revisit the… (more)

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APA (6th Edition):

Tu, Y. (2015). Penalized estimation procedure for varying coefficient models, A. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170359

Chicago Manual of Style (16th Edition):

Tu, Yan. “Penalized estimation procedure for varying coefficient models, A.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/170359.

MLA Handbook (7th Edition):

Tu, Yan. “Penalized estimation procedure for varying coefficient models, A.” 2015. Web. 08 Mar 2021.

Vancouver:

Tu Y. Penalized estimation procedure for varying coefficient models, A. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/170359.

Council of Science Editors:

Tu Y. Penalized estimation procedure for varying coefficient models, A. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/170359


Colorado State University

15. Salvi, Niketa. Two-step coding theorem in the nearly continuous category.

Degree: PhD, Mathematics, 2013, Colorado State University

 In measurable dynamics, one studies the measurable properties of dynamical systems. A recent surge of interest has been to study dynamical systems which have both… (more)

Subjects/Keywords: flow built under a function; two step flow; nearly continuous

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APA (6th Edition):

Salvi, N. (2013). Two-step coding theorem in the nearly continuous category. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80173

Chicago Manual of Style (16th Edition):

Salvi, Niketa. “Two-step coding theorem in the nearly continuous category.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/80173.

MLA Handbook (7th Edition):

Salvi, Niketa. “Two-step coding theorem in the nearly continuous category.” 2013. Web. 08 Mar 2021.

Vancouver:

Salvi N. Two-step coding theorem in the nearly continuous category. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/80173.

Council of Science Editors:

Salvi N. Two-step coding theorem in the nearly continuous category. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80173


Colorado State University

16. Sokolov, Artem. Accurate prediction of protein function using GOstruct.

Degree: PhD, Computer Science, 2011, Colorado State University

 With the growing number of sequenced genomes, automatic prediction of protein function is one of the central problems in computational biology. Traditional methods employ transfer… (more)

Subjects/Keywords: machine learning; protein function prediction

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APA (6th Edition):

Sokolov, A. (2011). Accurate prediction of protein function using GOstruct. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/52071

Chicago Manual of Style (16th Edition):

Sokolov, Artem. “Accurate prediction of protein function using GOstruct.” 2011. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/52071.

MLA Handbook (7th Edition):

Sokolov, Artem. “Accurate prediction of protein function using GOstruct.” 2011. Web. 08 Mar 2021.

Vancouver:

Sokolov A. Accurate prediction of protein function using GOstruct. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/52071.

Council of Science Editors:

Sokolov A. Accurate prediction of protein function using GOstruct. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/52071


Colorado State University

17. Hanks, Ephraim M. Statistical models for animal movement and landscape connectivity.

Degree: PhD, Statistics, 2013, Colorado State University

 This dissertation considers statistical approaches to the study of animal movement behavior and landscape connectivity, with particular attention paid to modeling how movement and connectivity… (more)

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APA (6th Edition):

Hanks, E. M. (2013). Statistical models for animal movement and landscape connectivity. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80147

Chicago Manual of Style (16th Edition):

Hanks, Ephraim M. “Statistical models for animal movement and landscape connectivity.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/80147.

MLA Handbook (7th Edition):

Hanks, Ephraim M. “Statistical models for animal movement and landscape connectivity.” 2013. Web. 08 Mar 2021.

Vancouver:

Hanks EM. Statistical models for animal movement and landscape connectivity. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/80147.

Council of Science Editors:

Hanks EM. Statistical models for animal movement and landscape connectivity. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80147


Colorado State University

18. Wang, Dexin. Simultaneous wireless information and power transfer (SWIPT) in cooperative networks.

Degree: PhD, Electrical and Computer Engineering, 2019, Colorado State University

 In recent years, the capacity and charging speed of batteries have become the bottleneck of mobile communications systems. Energy harvesting (EH) is regarded as a… (more)

Subjects/Keywords: full-duplex; relay; SWIPT; network beamforming; energy harvesting; relay selection

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APA (6th Edition):

Wang, D. (2019). Simultaneous wireless information and power transfer (SWIPT) in cooperative networks. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195265

Chicago Manual of Style (16th Edition):

Wang, Dexin. “Simultaneous wireless information and power transfer (SWIPT) in cooperative networks.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/195265.

MLA Handbook (7th Edition):

Wang, Dexin. “Simultaneous wireless information and power transfer (SWIPT) in cooperative networks.” 2019. Web. 08 Mar 2021.

Vancouver:

Wang D. Simultaneous wireless information and power transfer (SWIPT) in cooperative networks. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/195265.

Council of Science Editors:

Wang D. Simultaneous wireless information and power transfer (SWIPT) in cooperative networks. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195265


Colorado State University

19. Liu, Teng. Nonparametric tests for informative selection and small area estimation for reconciling survey estimates.

Degree: PhD, Statistics, 2020, Colorado State University

 Two topics in the analysis of complex survey data are addressed: testing for informative selection and addressing temporal discontinuities due to survey redesign. Informative selection,… (more)

Subjects/Keywords: nonparametric tests; informative selection; small area estimation

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APA (6th Edition):

Liu, T. (2020). Nonparametric tests for informative selection and small area estimation for reconciling survey estimates. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/211817

Chicago Manual of Style (16th Edition):

Liu, Teng. “Nonparametric tests for informative selection and small area estimation for reconciling survey estimates.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/211817.

MLA Handbook (7th Edition):

Liu, Teng. “Nonparametric tests for informative selection and small area estimation for reconciling survey estimates.” 2020. Web. 08 Mar 2021.

Vancouver:

Liu T. Nonparametric tests for informative selection and small area estimation for reconciling survey estimates. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/211817.

Council of Science Editors:

Liu T. Nonparametric tests for informative selection and small area estimation for reconciling survey estimates. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/211817


Colorado State University

20. Jung, Jeffrey Youngjai. Advanced Bayesian framework for uncertainty estimation of sediment transport models.

Degree: PhD, Civil and Environmental Engineering, 2018, Colorado State University

 Numerical sediment transport models are widely used to forecast the potential changes in rivers that might result from natural and/or human influences. Unfortunately, predictions from… (more)

Subjects/Keywords: model prediction; uncertainty estimation; sediment transport models; Bayesian inference

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APA (6th Edition):

Jung, J. Y. (2018). Advanced Bayesian framework for uncertainty estimation of sediment transport models. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191343

Chicago Manual of Style (16th Edition):

Jung, Jeffrey Youngjai. “Advanced Bayesian framework for uncertainty estimation of sediment transport models.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/191343.

MLA Handbook (7th Edition):

Jung, Jeffrey Youngjai. “Advanced Bayesian framework for uncertainty estimation of sediment transport models.” 2018. Web. 08 Mar 2021.

Vancouver:

Jung JY. Advanced Bayesian framework for uncertainty estimation of sediment transport models. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/191343.

Council of Science Editors:

Jung JY. Advanced Bayesian framework for uncertainty estimation of sediment transport models. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191343


Colorado State University

21. Zhang, Lyuou. Non-asymptotic properties of spectral decomposition of large gram-type matrices with applications to high-dimensional inference.

Degree: PhD, Statistics, 2020, Colorado State University

 Jointly modeling a large and possibly divergent number of temporally evolving subjects arises ubiquitously in statistics, econometrics, finance, biology, and environmental sciences. To circumvent the… (more)

Subjects/Keywords: gram-type matrices; non-asymptotic analysis; spectral decomposition; high dimensional time series; dynamic factor model; principal component analysis

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APA (6th Edition):

Zhang, L. (2020). Non-asymptotic properties of spectral decomposition of large gram-type matrices with applications to high-dimensional inference. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/219574

Chicago Manual of Style (16th Edition):

Zhang, Lyuou. “Non-asymptotic properties of spectral decomposition of large gram-type matrices with applications to high-dimensional inference.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/219574.

MLA Handbook (7th Edition):

Zhang, Lyuou. “Non-asymptotic properties of spectral decomposition of large gram-type matrices with applications to high-dimensional inference.” 2020. Web. 08 Mar 2021.

Vancouver:

Zhang L. Non-asymptotic properties of spectral decomposition of large gram-type matrices with applications to high-dimensional inference. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/219574.

Council of Science Editors:

Zhang L. Non-asymptotic properties of spectral decomposition of large gram-type matrices with applications to high-dimensional inference. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/219574


Colorado State University

22. Chen, Xin. Penalized unimodal spline density estimate with application to M-estimation.

Degree: PhD, Statistics, 2020, Colorado State University

 This dissertation establishes a novel type of robust estimation, Auto-Adaptive M-estimation (AAME), based on a new density estimation. The new robust estimation, AAME, is highly… (more)

Subjects/Keywords: splines; robust estimation; unimodal density

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APA (6th Edition):

Chen, X. (2020). Penalized unimodal spline density estimate with application to M-estimation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/219633

Chicago Manual of Style (16th Edition):

Chen, Xin. “Penalized unimodal spline density estimate with application to M-estimation.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/219633.

MLA Handbook (7th Edition):

Chen, Xin. “Penalized unimodal spline density estimate with application to M-estimation.” 2020. Web. 08 Mar 2021.

Vancouver:

Chen X. Penalized unimodal spline density estimate with application to M-estimation. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/219633.

Council of Science Editors:

Chen X. Penalized unimodal spline density estimate with application to M-estimation. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/219633


Colorado State University

23. Cheng, Xilin. Reliable and energy-efficient cooperative OFDM communications over underwater acoustic channels.

Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University

 Underwater acoustic sensor networks (UWASN) have been attracting growing research interests in recent decades due to various promising applications. Underwater acoustic communications (UAC), which adopts… (more)

Subjects/Keywords: cooperative communications; energy efficiency; OFDM; reliability; underwater acoustic communications

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APA (6th Edition):

Cheng, X. (2015). Reliable and energy-efficient cooperative OFDM communications over underwater acoustic channels. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170321

Chicago Manual of Style (16th Edition):

Cheng, Xilin. “Reliable and energy-efficient cooperative OFDM communications over underwater acoustic channels.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/170321.

MLA Handbook (7th Edition):

Cheng, Xilin. “Reliable and energy-efficient cooperative OFDM communications over underwater acoustic channels.” 2015. Web. 08 Mar 2021.

Vancouver:

Cheng X. Reliable and energy-efficient cooperative OFDM communications over underwater acoustic channels. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/170321.

Council of Science Editors:

Cheng X. Reliable and energy-efficient cooperative OFDM communications over underwater acoustic channels. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/170321


Colorado State University

24. Liu, Jialuo. Statistical modeling and inference for spatial and spatio-temporal data.

Degree: PhD, Statistics, 2019, Colorado State University

 Spatio-temporal processes with a continuous index in space and time are encountered in many scientific disciplines such as climatology, environmental sciences, and public health. A… (more)

Subjects/Keywords: random fields; spatial statistics; Gaussian process; spatio-temporal statistics; semiparametric modeling

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APA (6th Edition):

Liu, J. (2019). Statistical modeling and inference for spatial and spatio-temporal data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/199824

Chicago Manual of Style (16th Edition):

Liu, Jialuo. “Statistical modeling and inference for spatial and spatio-temporal data.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/199824.

MLA Handbook (7th Edition):

Liu, Jialuo. “Statistical modeling and inference for spatial and spatio-temporal data.” 2019. Web. 08 Mar 2021.

Vancouver:

Liu J. Statistical modeling and inference for spatial and spatio-temporal data. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/199824.

Council of Science Editors:

Liu J. Statistical modeling and inference for spatial and spatio-temporal data. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/199824


Colorado State University

25. Kim, Soo Young. Improved inference in heteroskedastic regression models with monotone variance function estimation.

Degree: PhD, Statistics, 2018, Colorado State University

 The problems associated with heteroskedasticity often lead to incorrect inferences in a regression model, especially when the form of the heteroskedasticity is obscure. In this… (more)

Subjects/Keywords: convergence rate; cone projection; regression splines

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APA (6th Edition):

Kim, S. Y. (2018). Improved inference in heteroskedastic regression models with monotone variance function estimation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193107

Chicago Manual of Style (16th Edition):

Kim, Soo Young. “Improved inference in heteroskedastic regression models with monotone variance function estimation.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/193107.

MLA Handbook (7th Edition):

Kim, Soo Young. “Improved inference in heteroskedastic regression models with monotone variance function estimation.” 2018. Web. 08 Mar 2021.

Vancouver:

Kim SY. Improved inference in heteroskedastic regression models with monotone variance function estimation. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/193107.

Council of Science Editors:

Kim SY. Improved inference in heteroskedastic regression models with monotone variance function estimation. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193107

26. Tang, Yanru. Distributed wireless networking with an enhanced physical-link layer interface.

Degree: PhD, Electrical and Computer Engineering, 2019, Colorado State University

 This thesis focuses on the cross-layer design of physical and data link layers to support efficient distributed wireless networking. At the physical layer, distributed coding… (more)
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APA (6th Edition):

Tang, Y. (2019). Distributed wireless networking with an enhanced physical-link layer interface. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195248

Chicago Manual of Style (16th Edition):

Tang, Yanru. “Distributed wireless networking with an enhanced physical-link layer interface.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/195248.

MLA Handbook (7th Edition):

Tang, Yanru. “Distributed wireless networking with an enhanced physical-link layer interface.” 2019. Web. 08 Mar 2021.

Vancouver:

Tang Y. Distributed wireless networking with an enhanced physical-link layer interface. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/195248.

Council of Science Editors:

Tang Y. Distributed wireless networking with an enhanced physical-link layer interface. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195248

27. Sienkiewicz, Ela. Analysis of structured data and big data with application to neuroscience.

Degree: PhD, Statistics, 2015, Colorado State University

 Neuroscience research leads to a remarkable set of statistical challenges, many of them due to the complexity of the brain, its intricate structure and dynamical,… (more)

Subjects/Keywords: function-estimation; MISO; neural spikes; genetic algorithm; data object; multi-objective optimization

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APA (6th Edition):

Sienkiewicz, E. (2015). Analysis of structured data and big data with application to neuroscience. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167082

Chicago Manual of Style (16th Edition):

Sienkiewicz, Ela. “Analysis of structured data and big data with application to neuroscience.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/167082.

MLA Handbook (7th Edition):

Sienkiewicz, Ela. “Analysis of structured data and big data with application to neuroscience.” 2015. Web. 08 Mar 2021.

Vancouver:

Sienkiewicz E. Analysis of structured data and big data with application to neuroscience. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/167082.

Council of Science Editors:

Sienkiewicz E. Analysis of structured data and big data with application to neuroscience. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167082

28. Hewitt, Joshua. Statistical modeling and computing for climate data.

Degree: PhD, Statistics, 2019, Colorado State University

 The motivation for this thesis is to provide improved statistical models and approaches to statistical computing for analyzing climate patterns over short and long distances.… (more)

Subjects/Keywords: climate; statistical computing; hierarchical modeling; Bayesian statistics

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APA (6th Edition):

Hewitt, J. (2019). Statistical modeling and computing for climate data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195408

Chicago Manual of Style (16th Edition):

Hewitt, Joshua. “Statistical modeling and computing for climate data.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/195408.

MLA Handbook (7th Edition):

Hewitt, Joshua. “Statistical modeling and computing for climate data.” 2019. Web. 08 Mar 2021.

Vancouver:

Hewitt J. Statistical modeling and computing for climate data. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/195408.

Council of Science Editors:

Hewitt J. Statistical modeling and computing for climate data. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195408

29. Moataz, Tarik. Searching over encrypted data.

Degree: PhD, Computer Science, 2017, Colorado State University

 Cloud services offer reduced costs, elasticity and a promised unlimited managed storage space that attract many end-users. File sharing, collaborative platforms, email platforms, back-up servers… (more)

Subjects/Keywords: oblivious RAM; structured encryption; searchable encryption; applied cryptography

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APA (6th Edition):

Moataz, T. (2017). Searching over encrypted data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181313

Chicago Manual of Style (16th Edition):

Moataz, Tarik. “Searching over encrypted data.” 2017. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/181313.

MLA Handbook (7th Edition):

Moataz, Tarik. “Searching over encrypted data.” 2017. Web. 08 Mar 2021.

Vancouver:

Moataz T. Searching over encrypted data. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/181313.

Council of Science Editors:

Moataz T. Searching over encrypted data. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181313

30. Oliva Avilés, Cristian M. Survey estimators of domain means under shape restrictions.

Degree: PhD, Statistics, 2018, Colorado State University

 Novel methodologies that introduce shape-restricted regression techniques into survey domain estimation and inference are presented in this dissertation. Although population domain means are frequently expected… (more)

Subjects/Keywords: estimation; sampling; survey; inference; domain mean; shape-constrained

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APA (6th Edition):

Oliva Avilés, C. M. (2018). Survey estimators of domain means under shape restrictions. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191301

Chicago Manual of Style (16th Edition):

Oliva Avilés, Cristian M. “Survey estimators of domain means under shape restrictions.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/191301.

MLA Handbook (7th Edition):

Oliva Avilés, Cristian M. “Survey estimators of domain means under shape restrictions.” 2018. Web. 08 Mar 2021.

Vancouver:

Oliva Avilés CM. Survey estimators of domain means under shape restrictions. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/191301.

Council of Science Editors:

Oliva Avilés CM. Survey estimators of domain means under shape restrictions. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191301

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