  Multimodal regression estimation methods are introduced for regression models
involving circular response and/or covariate. The regression estimators are
based on the maximization of the conditional densities of the response variable
over the covariate. Conditional versions of the mean shift and the circular
mean shift algorithms are used to obtain the regression estimators. The
asymptotic properties of the estimators are studied and the problem of
bandwidth selection is discussed.
