why use kernel regression why would a kernel be used for local polynomial regression which is the optimal method of using the kernel regression model what is kernel regression in statistics which of the following constraints can you use kernel regression how does kernel regression work what constraint should i use when implementing a kernel regression in a polynomial what is a kernel regression what is the kernel of regression can kernel regression use monotonicity constraints kernel regression can a kernel regression have a monotonicity constraint which constraints can be applied in local polynomials? how do you fit a lpr model what constraints do you need when calculating the kernel and monotonicity constraints can monotonianism be used in multivariate regression which constraint does a kernel regression satisfie? can I use local polynomial regression to fit a large bivariate set of data? can you apply kernel regression in local polynomial regression what is a kernel regression