Estimating Equation Professors in Global

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Andrei Volodin
University of Regina Canada
classical estimation methods
bayesian estimation methods
estimation of modes
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Param Silvapulle
Monash University Australia
credit risk estimation
market risk estimation
operational risk estimation
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Oscar Gonzalez
University of Texas at Austin United States of America
integral equations
differential equations
numerical analysis
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Richard Slevinsky
University of Manitoba Canada
integral equations
differential equations
numerical analysis
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John Doe
RWTH Aachen University Germany
mathematical modeling
differential equations
numerical analysis
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Félix Kwok
Laval University Canada
mathematical modelling
differential equations
numerical analysis
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François Mathieu-potvin
Laval University Canada
mathematical optimization
mathematical modelling simulation
numerical analysis
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Jose Carrillo De La Plata
University of Oxford United Kingdom
kinetic equations
numerical analysis
hydrodynamic equations
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Dong Liang
York University Canada
energy simulation
environmental computation
numerical analysis
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Paola Malanotte-rizzoli
Massachusetts Institute of Technology United States of America
climate prediction
numerical modeling
theoretical modeling
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Bing Li
Pennsylvania State University United States of America
estimating equations
semiparametric estimation
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Mohamedou Ould Haye
Carleton University Canada
estimation
forecasting
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Philipp Sterzinger
London School of Economics United Kingdom
estimation
prediction
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Gary Rosen
University of Southern California United States of America
estimation
numerical approximation methods
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Irini Moustaki
London School of Economics and Political Science United Kingdom
estimation methods
structural equation modeling
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Siem Koopman
Vrije Universiteit Amsterdam Netherlands
simulation-based estimation
forecasting
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Christian Jørgensen
Aalborg University Denmark
estimating functions
mathematics
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Hanye Zhu
Duke University Singapore
gradient estimates
mathematical analysis
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James Spall
Johns Hopkins University United States of America
parameter estimation
uncertainty calculation
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Rina Foygel Barber
University of Chicago United States of America
statistical estimation
prediction
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Kim Mcauley
Queen's University Canada
parameter estimation
mathematical modeling
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