Browsing by Author "Genton, Marc G."
Now showing items 1-14 of 14
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Zhang, Fan (2012-02-14)With increasing penetration of intermittent resources such as wind and solar, power system operations are facing much more challenges in cost effective provision of energy balancing and frequency regulation services. Enabled ...
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Ghosh, Souparno (2010-10-12)The main objective of our study is to employ copula methodology to develop Bayesian hierarchical models to study the dependencies exhibited by temporal, spatial and spatio-temporal processes. We develop hierarchical models ...
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Lee, Giwhyun (2013-05-22)This dissertation develops sophisticated data analytic methods to analyze structural loads on, and power generation of, wind turbines. Wind turbines, which convert the kinetic energy in wind into electrical power, are ...
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Efficient Semiparametric Estimators for Nonlinear Regressions and Models under Sample Selection Bias Kim, Mi Jeong (2012-10-19)We study the consistency, robustness and efficiency of parameter estimation in different but related models via semiparametric approach. First, we revisit the second- order least squares estimator proposed in Wang and ...
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Incorporating geostrophic wind information for improved space–time short-term wind speed forecasting Zhu, Xinxin; Bowman, Kenneth P.; Genton, Marc G. (The Annals of Applied Statistics, 2014)
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Dao, Ngoc Anh (2021-12-08)Spatial point processes are statistical models that describe the arrangement of objects that are randomly distributed in the plane or in space. In recent years, they have received sustained attention because researchers ...
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Sun, Ying (2011-10-21)This dissertation is composed of four articles describing inference and visualization of periodic sequences. In the first article, a nonparametric method is proposed for estimating the period and values of a periodic ...
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Shin, Hyejin (Texas A&M University, 2007-09-17)Modern data collection methods are now frequently returning observations that should be viewed as the result of digitized recording or sampling from stochastic processes rather than vectors of finite length. In spite of ...
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Marchenko, Yulia V. (2012-02-14)This dissertation is composed of three articles describing novel approaches for analysis and modeling using multivariate skew-normal and skew-t distributions in econometrics and environmetrics. In the first article we ...
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Kohli, Priya (2012-10-19)For a stationary two dimensional random field, we utilize the classical Kolmogorov-Wiener theory to develop prediction methodology which requires minimal assumptions on the dependence structure of the random field. We also ...
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Roh, Soojin (2014-05-23)Ensemble Kalman filters (EnKF) is a statistical technique used to estimate the state of a nonlinear spatio-temporal dynamical system. This dissertation consists of three parts. First, we develop a methodology to make EnKF ...
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Hering, Amanda S. (2010-10-12)High-quality short-term forecasts of wind speed are vital to making wind power a more reliable energy source. Gneiting et al. (2006) have introduced a model for the average wind speed two hours ahead based on both spatial ...
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Lee, Myoungji; Jun, Mikyoung; Genton, Marc G. (Tellus A, 2015)
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Zhu, Xinxin (2013-07-22)In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound ...