Adaptive variable location kernel density estimators with good performance at boundaries
This paper introduces new adaptive versions of the variable location density estimator which, for the first time, achieve bias improvement by an order of magnitude at the boundaries, as well as affording the usual higher order bias in the interior of the
|Collections||ANU Research Publications|
|Source:||Nonparametric Statistics (Journal of)|
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