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Nov 8, 2022 - MATLAB
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anova-kernels
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global-sensitivity-analysis
matpower
renewables
gaussian-process-regression
anova-kernels
power-system
Spatial Statistic with Kriging
r
sensitivity-analysis
gaussian-processes
kernels
sobol
geostatistics
kriging
spatial-statistics
anova-kernels
co-kriging
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Oct 2, 2022 - C++
kernalized t-Distributed Stochastic Neighbor Embedding (t-SNE)
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Mar 13, 2019 - Python
For my master's thesis, I investigate the predictive power of several linear and non-linear approaches for crude oil prices, among which linear time series models, neural networks, Gaussian process regression, and time-varying coefficient models.
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Aug 22, 2023 - Jupyter Notebook
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