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Title: Fitting models with complex qualitative constraints Authors:  Berwin Turlach - The University of Western Australia (Australia) [presenting]
Abstract: Several models are discussed for which the parameter space is constrained such that the boundary of the feasible space cannot be easily parameterised, but it is relatively easy to determine whether or not a set of parameters are feasible. This motivates the development of algorithms that can be used to fit such models to data.