Li, Song; Silvapulle, Mervyn J.; Silvapulle, Param; … - In: Econometric Reviews 34 (2015) 3, pp. 394-412
This paper investigates nonparametric estimation of density on [0, 1]. The kernel estimator of density on [0, 1] has been found to be sensitive to both bandwidth and kernel. This paper proposes a unified Bayesian framework for choosing both the bandwidth and kernel function. In a simulation...