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Skip to Search Results- 1Bayesian methods
- 1Feynman diagram
- 1Fourier transform
- 1Gaussian correlation inequality
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- 1Gaussian processes
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Fall 2021
Kernel methods are often used for nonlinear regression and classification in machine learning because they are computationally cheap and accurate. Fourier basis and wavelet basis are the bases that can efficiently approximate the kernel functions. In previous research, Bayesian approximate kernel...
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Fall 2022
In this dissertation, various problems related to stochastic (partial) differential equations are investigated. These problems include well-posedness, H\"older continuity of the solution, moments of the solution and their asymptotics. This thesis is divided into three parts. The first part...