Browsing by Author "Subba Rao, Suhasini"
Now showing items 1-14 of 14
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Filonov, Vitaly (2012-10-19)Numerous authors note failure of private insurance markets to provide affordable and comprehensive crop insurance. Economic logic suggests that index contracts potentially may have some advantages when compared with ...
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Savchuk, Olga (2010-01-14)The statistical properties of cross-validation bandwidths can be improved by choosing an appropriate kernel, which is different from the kernels traditionally used for cross- validation purposes. In the light of this idea, ...
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Lopez Cabrera, Jesus Antonio 1977- (2012-11-05)Homeownership is both an individual and society objective, because of the positive neighborhood effects associated with areas of higher homeownership. To help realize these positive effects, the Mexican government has ...
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Wang, Xiao (2017-04-05)A multivariate time series could be partitioned either horizontally (over time) to induce local stationarity or vertically (over the variables) to reduce dimension and the high computational cost. Dimension reduction for ...
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Yang, Junho (2021-03-29)In this dissertation, we propose a new spectral method that could be used to overcome two issues in time series analysis. The first issue is the small sample problem. The periodogram is widely used to analyze second order ...
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Fryzlewicz, Piotr; Sapatinas, Theofanis; Subba Rao, Suhasini (Annals of Statistics, 2008)
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Lee, Jun Bum (2012-07-16)The spectral analysis method is an important tool in time series analysis and the spectral density plays a crucial role on the spectral analysis. However, one of limitations of the spectral density is that the spectral ...
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Shen, Shirun (2022-04-06)Functional principal component analysis is a popular technique used for analyzing the intrinsically infinite-dimensional functions. The functional principal components help explore the variation patterns of functions and ...
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Jurek, Marcin Piotr (2020-06-18)We propose a family of filtering methods for deriving the filtering distribution in the context of a high-dimensional state-space model. In the first chapter, we develop and describe in detail the basic method, which can ...
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John, Sheagan Abdallah Karan Arlene (2022-04-05)Given a complete n-dimensional Riemannian manifold X admitting a suitable action by a group Γ, each Γ-equivariant elliptic differential operator D gives rise to a higher index class IndΓ(D). A central strength of this ...
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Jeong, Jaehong (2015-07-13)There have been noticeable advancements in developing parametric covariance models for spatial and spatial-temporal data in climate science. However, literature on covariance models for processes on the surface of a sphere ...
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Sundararajan, Raanju Ragavendar (2018-06-08)Several interesting applications in areas such as neuroscience, economics, finance and seismology have led to the collection nonstationary time series data wherein the statistical properties of the observed process change ...
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Chen, Lianfu (2012-02-14)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 of two topics where we develop iterative ...
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Zhen, Ni (2014-04-23)In this dissertation, the effects of a shear-thinning fluid on the evolution of a hairpin vortex are investigated. The fluid viscosity is determined using a power law model and direct numerical simulations are performed ...