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numerical analysis, scientific computing, Workshop |
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Bayesian Inversion, Bayesian optimal experimental design, hierarchical and sparse approximation, Hierarchical regression, Low-rank approximation, Monte carlo methods, Multi-index, Multilevel Monte Carlo, Quasi-Monte Carlo, Random PDEs, stochastic algorithms, Stochastic collocation, Teaching |
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data assimilation, Filtering theory, Importance sampling, Monte carlo methods, stochastic algorithms, Stochastic Methods, Stochastic Modeling, Stochastic Optimal Control, Stochastic processes, Variance Reduction, Teaching |
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Fokker-Planck equations, Hamilton-Jabobi-Bellman, Importance sampling, Ito integral, Kolmogorov Backward Equation, Monte Carlo, Multilevel Monte Carlo, stochastic differential equations, Stochastic Optimal Control, Variance Reduction, Teaching |
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Teaching |
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applied statistics, bayesian inference, excursion sets, Gaussian random fields, latent Gaussian models, R-INLA, spatial statistics, Research, Resources |
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Publications |
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Publications |
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applied statistics, bayesian analysis, Bayesian and computational Statistics, Bayesian Statistics, Gaussian processes, INLA, latent Gaussian models, Log-Gaussian Cox process, Metric graphs, MetricGraph, spatial statistics, Research, Resources |
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Research, Resources |
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Finite elements, numerical analysis, Workshop |
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Research |
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applied statistics, bayesian inference, Gaussian random fields, geostatistics, spatial statistics, SPDEs, Research, Resources |
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uncertainty quantification, Info |
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