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You searched for +publisher:"Colorado State University" +contributor:("Kokoszka, Piotr S."). Showing records 1 – 4 of 4 total matches.

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Colorado State University

1. 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 December 03, 2020. http://hdl.handle.net/10217/193167.

MLA Handbook (7th Edition):

Xiong, Qian. “Methods for extremes of functional data.” 2018. Web. 03 Dec 2020.

Vancouver:

Xiong Q. Methods for extremes of functional data. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2020 Dec 03]. 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

2. Zheng, Ben. Inference for cumulative intraday return curves.

Degree: PhD, Statistics, 2018, Colorado State University

 The central theme of this dissertation is inference for cumulative intraday return (CIDR) curves computed from high frequency data. Such curves describe how the return… (more)

Subjects/Keywords: extreme value theory; large-scale multiple testing; two sample test; functional data analysis; cumulative intraday return curves; risk analysis

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APA (6th Edition):

Zheng, B. (2018). Inference for cumulative intraday return curves. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193124

Chicago Manual of Style (16th Edition):

Zheng, Ben. “Inference for cumulative intraday return curves.” 2018. Doctoral Dissertation, Colorado State University. Accessed December 03, 2020. http://hdl.handle.net/10217/193124.

MLA Handbook (7th Edition):

Zheng, Ben. “Inference for cumulative intraday return curves.” 2018. Web. 03 Dec 2020.

Vancouver:

Zheng B. Inference for cumulative intraday return curves. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/10217/193124.

Council of Science Editors:

Zheng B. Inference for cumulative intraday return curves. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193124


Colorado State University

3. Young, Gabriel J. Inference for functional time series with applications to yield curves and intraday cumulative returns.

Degree: PhD, Statistics, 2016, Colorado State University

 Econometric and financial data often take the form of a functional time series. Examples include yield curves, intraday price curves and term structure curves. Before… (more)

Subjects/Keywords: factor models; time series; yield curves; functional data; change point; trend stationarity

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

APA (6th Edition):

Young, G. J. (2016). Inference for functional time series with applications to yield curves and intraday cumulative returns. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173395

Chicago Manual of Style (16th Edition):

Young, Gabriel J. “Inference for functional time series with applications to yield curves and intraday cumulative returns.” 2016. Doctoral Dissertation, Colorado State University. Accessed December 03, 2020. http://hdl.handle.net/10217/173395.

MLA Handbook (7th Edition):

Young, Gabriel J. “Inference for functional time series with applications to yield curves and intraday cumulative returns.” 2016. Web. 03 Dec 2020.

Vancouver:

Young GJ. Inference for functional time series with applications to yield curves and intraday cumulative returns. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/10217/173395.

Council of Science Editors:

Young GJ. Inference for functional time series with applications to yield curves and intraday cumulative returns. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173395


Colorado State University

4. 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 December 03, 2020. http://hdl.handle.net/10217/199824.

MLA Handbook (7th Edition):

Liu, Jialuo. “Statistical modeling and inference for spatial and spatio-temporal data.” 2019. Web. 03 Dec 2020.

Vancouver:

Liu J. Statistical modeling and inference for spatial and spatio-temporal data. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2020 Dec 03]. 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

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