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We consider the problem of fitting a probability density function when it isconstrained to have a given number of modal intervals. We propose a dynamicprogramming approach to solving this problem numerically. When this number isnot known, we provide several data-driven ways for selecting it. We performsome numerical experiments to illustrate our methodology.

Fitting a Multi-modal Density by Dynamic Programming