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A clinical psychologist is trying to understand the relationship between…
A clinical psychologist is trying to understand the relationship between early life experiences and the likelihood of developing psychiatric problems in adulthood. The relationship appears to be nonlinear, and they are attempting to fit a curve to their data using a simplex algorithm, but have run into several problems. What might be causing these problems? Are there any alternative optimisation techniques they could use instead?
introduction
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linear curve fitting to nonlinear curve fitting, definition of parameter in both, then pro
too many parameters
200 words on problem, 100 on alternative solution
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local minima
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can start the simplex from a number of different points, by choosing a random set of parameters 100 times and pick the best one. you cant be sure that its found the global minimum but it probably has
or modify the algorithm, so when it finds a solution, change one of the parameters and see how long it takes to get back to the original set.
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