Probabilistic Load Estimation Professors in Global

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Li Ma
Imperial College London United Kingdom
short-term and long-term load statistics
numerical modeling of fluid loads
analytical modeling of fluid loads
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Soheil Mohammadi
University of Southern California United States of America
gravity loading
seismic loading
wind loading
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Gordan Zitkovic
University of Texas at Austin United States of America
probability
stochastic analysis
stochastic optimization
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Jovica Milanovic
University of Manchester United Kingdom
load modelling
probabilistic modelling
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Wei Zhang
University of Sydney Australia
probability density estimation
likelihood approximation
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
prediction modeling
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Davide Arioldi
Università della Svizzera italiana Switzerland
probabilistic programming
probabilistic graphical models
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David Parker
University of Oxford United Kingdom
probabilistic verification
probabilistic model checking
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Christian Frier
Aalborg University Denmark
probabilistic modeling
stochastic modeling
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Ryan Tibshirani
University of California, Berkeley United States of America
probabilistic forecasting
nonparametric estimation
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Alan Siegel
New York University United States of America
probabilistic algorithms
probability
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Kemal Büyükkurt
Concordia University Canada
probabilistic decision support systems
probabilistic choice models
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Eugene Seneta
University of Sydney Australia
probability modelling
probability theory
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Matthew Jenssen
King's College London United Kingdom
probabilistic
probability
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Eliezer Upfal
Brown University United States of America
probabilistic analysis
stochastic optimization
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Luca Carlone
Massachusetts Institute of Technology United States of America
probabilistic inference
nonlinear estimation
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Tom Rainforth
University of Oxford United Kingdom
probabilistic programming
probabilistic data-efficient approaches
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Krzysztof Latuszynski
University of Warwick United Kingdom
probabilistic algorithms
stochastic simulation
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Irina Rish
University of Montreal Canada
probabilistic inference
biologically plausible reinforcement learning
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Mark Campbell
Cornell University Netherlands
probabilistic perception
estimation theory
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