Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Rutgers University" +contributor:("Tan, Zhiqiang"). Showing records 1 – 7 of 7 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Rutgers University

1. Shu, Heng, 1986-. Improved methods for causal inference and data combination.

Degree: PhD, Statistics and Biostatistics, 2015, Rutgers University

In this dissertation, we develop improved estimation of average treatment effect on the treatment (ATT) which achieves double robustness, local efficiency, intrinsic efficiency and sample… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shu, Heng, 1. (2015). Improved methods for causal inference and data combination. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48658/

Chicago Manual of Style (16th Edition):

Shu, Heng, 1986-. “Improved methods for causal inference and data combination.” 2015. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/48658/.

MLA Handbook (7th Edition):

Shu, Heng, 1986-. “Improved methods for causal inference and data combination.” 2015. Web. 23 Jan 2021.

Vancouver:

Shu, Heng 1. Improved methods for causal inference and data combination. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48658/.

Council of Science Editors:

Shu, Heng 1. Improved methods for causal inference and data combination. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48658/


Rutgers University

2. Wang, Liang, 1991-. On parameter estimation of state space models and its applications.

Degree: PhD, Statistics and Biostatistics, 2018, Rutgers University

State space model is a class of models where the observations are driven by underlying stochastic processes. It is widely used in computer vision, economics… (more)

Subjects/Keywords: Stochastic models; Monte Carlo method

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, Liang, 1. (2018). On parameter estimation of state space models and its applications. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57751/

Chicago Manual of Style (16th Edition):

Wang, Liang, 1991-. “On parameter estimation of state space models and its applications.” 2018. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/57751/.

MLA Handbook (7th Edition):

Wang, Liang, 1991-. “On parameter estimation of state space models and its applications.” 2018. Web. 23 Jan 2021.

Vancouver:

Wang, Liang 1. On parameter estimation of state space models and its applications. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/.

Council of Science Editors:

Wang, Liang 1. On parameter estimation of state space models and its applications. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/


Rutgers University

3. Dai, Wei. First passage times and relaxation times of unfolded proteins and the funnel model of protein folding.

Degree: PhD, Physics and Astronomy, 2016, Rutgers University

Protein folding has been a challenging puzzle for decades but it is still not fully understood. One important way to gain insights of the mechanism… (more)

Subjects/Keywords: Protein folding; Markov processes

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dai, W. (2016). First passage times and relaxation times of unfolded proteins and the funnel model of protein folding. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49952/

Chicago Manual of Style (16th Edition):

Dai, Wei. “First passage times and relaxation times of unfolded proteins and the funnel model of protein folding.” 2016. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/49952/.

MLA Handbook (7th Edition):

Dai, Wei. “First passage times and relaxation times of unfolded proteins and the funnel model of protein folding.” 2016. Web. 23 Jan 2021.

Vancouver:

Dai W. First passage times and relaxation times of unfolded proteins and the funnel model of protein folding. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49952/.

Council of Science Editors:

Dai W. First passage times and relaxation times of unfolded proteins and the funnel model of protein folding. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49952/


Rutgers University

4. Yang, Ting, 1988-. Penalized functional ANOVA modeling and large-scale logistic regression.

Degree: PhD, Nonparametric models, 2019, Rutgers University

This dissertation contains two parts. In the first part, we develop backfitting algorithms for doubly penalized additive and ANOVA modeling using total variation penalties carefully… (more)

Subjects/Keywords: Statistics and Biostatistics; Analysis of variance; Nonparametric statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, Ting, 1. (2019). Penalized functional ANOVA modeling and large-scale logistic regression. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61047/

Chicago Manual of Style (16th Edition):

Yang, Ting, 1988-. “Penalized functional ANOVA modeling and large-scale logistic regression.” 2019. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/61047/.

MLA Handbook (7th Edition):

Yang, Ting, 1988-. “Penalized functional ANOVA modeling and large-scale logistic regression.” 2019. Web. 23 Jan 2021.

Vancouver:

Yang, Ting 1. Penalized functional ANOVA modeling and large-scale logistic regression. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61047/.

Council of Science Editors:

Yang, Ting 1. Penalized functional ANOVA modeling and large-scale logistic regression. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61047/


Rutgers University

5. Yan, Xi, 1985-. Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization.

Degree: PhD, Statistics and Biostatistics, 2019, Rutgers University

This dissertation focuses on developing new statistical methods for analyzing and modeling financial time series. The first part of this dissertation discusses modeling of functional… (more)

Subjects/Keywords: Functional time series; Time-series analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yan, Xi, 1. (2019). Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/62066/

Chicago Manual of Style (16th Edition):

Yan, Xi, 1985-. “Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization.” 2019. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/62066/.

MLA Handbook (7th Edition):

Yan, Xi, 1985-. “Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization.” 2019. Web. 23 Jan 2021.

Vancouver:

Yan, Xi 1. Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62066/.

Council of Science Editors:

Yan, Xi 1. Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62066/


Rutgers University

6. Flynn, William F., 1988-. Maximum entropy Potts Hamiltonian models of protein fitness and applications to HIV-1 proteins.

Degree: PhD, Physics and Astronomy, 2017, Rutgers University

Protein evolution is governed by a balance of mutation and selection that act on an ensemble of protein sequence variants. The acquisition of a mutation… (more)

Subjects/Keywords: Maximum entropy method

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Flynn, William F., 1. (2017). Maximum entropy Potts Hamiltonian models of protein fitness and applications to HIV-1 proteins. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55468/

Chicago Manual of Style (16th Edition):

Flynn, William F., 1988-. “Maximum entropy Potts Hamiltonian models of protein fitness and applications to HIV-1 proteins.” 2017. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/55468/.

MLA Handbook (7th Edition):

Flynn, William F., 1988-. “Maximum entropy Potts Hamiltonian models of protein fitness and applications to HIV-1 proteins.” 2017. Web. 23 Jan 2021.

Vancouver:

Flynn, William F. 1. Maximum entropy Potts Hamiltonian models of protein fitness and applications to HIV-1 proteins. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55468/.

Council of Science Editors:

Flynn, William F. 1. Maximum entropy Potts Hamiltonian models of protein fitness and applications to HIV-1 proteins. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55468/


Rutgers University

7. Li, Wentao, 1984-. Importance sampling methods with multiple sampling distributions.

Degree: Statistics and Biostatistics, 2013, Rutgers University

Subjects/Keywords: Monte Carlo method; Numerical analysis; Sampling (Statistics)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, Wentao, 1. (2013). Importance sampling methods with multiple sampling distributions. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41827/

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

Chicago Manual of Style (16th Edition):

Li, Wentao, 1984-. “Importance sampling methods with multiple sampling distributions.” 2013. Thesis, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/41827/.

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

MLA Handbook (7th Edition):

Li, Wentao, 1984-. “Importance sampling methods with multiple sampling distributions.” 2013. Web. 23 Jan 2021.

Vancouver:

Li, Wentao 1. Importance sampling methods with multiple sampling distributions. [Internet] [Thesis]. Rutgers University; 2013. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41827/.

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

Council of Science Editors:

Li, Wentao 1. Importance sampling methods with multiple sampling distributions. [Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41827/

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

.