A cumulative distribution function gives the proportion of the data less than each possible value. A density function is the derivative of the cumulative distribution function. Density estimation is ...
We characterise priors which match, up to O(n-1), the posterior joint cumulative distribution function of multiple parametric functions with the corresponding frequentist cumulative distribution ...
We consider a generalized regression model with a partially linear index. The index contains an additive non-parametric component in addition to the standard linear component, and the model is ...
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