Bayesian Inverse Problems Professors in Global

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Yanan Fan
University of New South Wales Australia
bayesian computation
bayesian inference
bayesian nonparametrics
approximate bayesian computation
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Wenyuan Liao
University of Calgary Canada
inverse problems
inverse modeling
wave equation-based inversion
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Alexei Bazavov
Michigan State University United States of America
inverse problems
bayesian inference
iterative solvers
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Natalia Bochkina
University of Edinburgh United Kingdom
inverse problems
bayesian hierarchical modelling
bayesian nonparametric wavelet regression
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Natalia Bochkina
University of Edinburgh United Kingdom
inverse problems
bayesian hierarchical modeling
bayesian nonparametric wavelet regression
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
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Katy Tant
University of Glasgow United Kingdom
data-driven inverse problems
inverse problems
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
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Herta Fitzer
University of Heidelberg Germany
inverse problems
bayesian inference
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Mirza Karamehmedovic
Technical University of Denmark Denmark
inverse problems
bayesian inference
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Lara Baalbaki
Technical University of Denmark Denmark
inverse problems
bayesian inference
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Jeremias Knoblauch
University College London United Kingdom
bayesian inference
bayesian methods
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Youssef Marzouk
Massachusetts Institute of Technology United States of America
inverse problems
large-scale bayesian computation
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Alexandros Beskos
University College London United Kingdom
inverse problems
bayesian statistics
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Kd Dang
University of Western Australia Australia
bayesian inference
bayesian statistics
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Kolyan Ray
Imperial College London United Kingdom
inverse problems
bayesian nonparametrics
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Sujit Sahu
University of Southampton United Kingdom
bayesian computation
applied bayesian modelling
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Jan Glaubitz
Linköping University Sweden
inverse problems
bayesian scientific computing
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Jan Dettmer
University of Calgary Canada
bayesian methods
inverse theory
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
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