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Electronic Theses & Dissertations
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Abdominal aneurysm
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Adaptive sampling (Statistics)
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Anisotropy--Research
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Aortic aneurysms
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Bayesian statistical decision theory
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Biomedical engineering--Data processing
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Scheduled tribes in India--Attitudes
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Stochastic differential equations
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Stochastic integrals
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Stochastic processes
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Tomography--Mathematical models
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Geometric properties of anisotropic Gaussian random fields
Wu, Dongsheng, Ph.D
Text (2006)
Part of
Electronic Theses & Dissertations
Multivariate Gaussian random fields : extreme values, parameter estimation and prediction
Zhou, Yuzhen
Text (2015)
Part of
Electronic Theses & Dissertations
Predictive models for robotics and biomedical applications
Do, Huan N.
Text (2017)
Part of
Electronic Theses & Dissertations
Asymptotically optimal and admissible estimators in compound compact Gaussian shift experiments
Majumdar, Suman
Text (1992)
Part of
Electronic Theses & Dissertations
Series representation for processes with infinite energy and their prediction
Taraporevala, Arnavaz P.
Text (1988)
Part of
Electronic Theses & Dissertations
Weak convergence of standardized Kaplan-Meier Process in L2 space
Vasudaven, Mangalam
Text (1990)
Part of
Electronic Theses & Dissertations
Spatio-temporal field prediction under localization uncertainty for mobile sensor networks
Jadaliha, Mahdi
Text (2013)
Part of
Electronic Theses & Dissertations
Markov properties of measure-indexed Gaussian random fields
Zhang, Sixiang
Text (1990)
Part of
Electronic Theses & Dissertations
Anticipative stochastic calculus with respect to Gaussian processes, stochastic kinematics in Hilbert space and time reversal problem
Gawarecki, Leszek Piotr
Text (1994)
Part of
Electronic Theses & Dissertations
Sample path and asymptotic properties of space-time models
Xue, Yun
Text (2011)
Part of
Electronic Theses & Dissertations
On the structure of germ-field Markov processes on finite intervals
Pasha, Einollah
Text (1982)
Part of
Electronic Theses & Dissertations
Truncated Gaussian process regression for predicting growth of abdominal aortic aneurysm and for temporal modeling of sentiments
Ijaz, Ahsan
Text (2013)
Part of
Electronic Theses & Dissertations
Bootstrap based hypothesis testing for high-dimensional data
Chakraborty, Nilanjan
Text (2022)
Part of
Electronic Theses & Dissertations
Optimal learning of deployment and search strategies for robotic teams
Wei, Lai
Text (2021)
Part of
Electronic Theses & Dissertations
Environmental adaptive sampling for mobile sensor networks using Gaussian processes
Xu, Yunfei
Text (2011)
Part of
Electronic Theses & Dissertations
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