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Statistical Model Checks When Data Are Subject To Errors In Variables
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Abstract:
In this talk we first briefly review some basic ideas on statistical model checking based on principal components of stochastic processes. We then show how to proceed when, in addition, the data allow for measurement errors. It becomes clear that in a testing situation we are led to a well-posed rather than, as in estimation, an ill-posed problem.
This is joint work with H. Kaiser (Giessen).
Date:
9 March 2018, 14:15
Venue:
Manor Road Building, Manor Road OX1 3UQ
Venue Details:
Seminar Room B
Speaker:
Winfried Stute (University of Giessen)
Organising department:
Department of Economics
Part of:
Nuffield Econometrics Seminar
Booking required?:
Not required
Audience:
Members of the University only
Editors:
Erin Saunders,
Anne Pouliquen
