Kinetic Parameter Estimation Professors in Global

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Elliot Landaw
University of California Los Angeles United States of America
kinetic analysis
nonlinear estimation
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Teddy Groves
Technical University of Denmark Denmark
computational kinetic modeling
quantitative modeling
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Alonzo Kelly
Carnegie Mellon University United States of America
kinematic modeling
position estimation
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Max Ramgraber
Delft University of Technology Netherlands
parameter inference
uncertainty estimation
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
parameter tuning
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Stéphane Armand
University of Geneva Switzerland
kinematics
kinetics
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Marcia Schafgans
London School of Economics and Political Science United Kingdom
nonparametric estimation
semiparametric estimation
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Marcia Schafgans
London School of Economics United Kingdom
nonparametric estimation
semiparametric estimation
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Chunming Zhang
University of Wisconsin–Madison United States of America
non-parametric estimation
semi-parametric estimation
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Melike Alper
University of Southampton United Kingdom
complex parameters
variance estimation
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Robert Strain
University of Pennsylvania United States of America
kinetic theory
mathematical analysis
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Mahir Hadzic
University College London United Kingdom
kinetic theory
mathematical analysis
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Marina Friedrich
Vrije Universiteit Amsterdam Netherlands
trend estimation
nonparametric estimation techniques
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Ryan Tibshirani
University of California, Berkeley United States of America
nonparametric estimation
probabilistic forecasting
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Ida Karimfazli
Concordia University Canada
computational analysis
mathematical analysis
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Raymond Canale
University of Michigan United States of America
chemical kinetics
biological kinetics
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Vidvuds Ozolins
Yale University United States of America
quantum mechanical calculations
computational modeling
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John Mcarthur
University of Southern California United States of America
lumped parameter modelling
optimal estimation
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Guotao Ma
University of Warwick United Kingdom
computational modeling
probabilistic analysis
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Tony Field
Imperial College London United Kingdom
performance modeling
stochastic simulation
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
computational stochastic mechanics
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