modification to confine the edge effect, it is also asymptotically distribution-free in the sense that the limit distribution is …

-dimensional lattice. The implications for edge effect bias of the choice of kernel and bandwidth are considered. Under some circumstances … the bias can be dominated by the edge effect. We show that this problem can be mitigated by tapering. Some extensions and …

-dimensional lattice.The implications for edge effect bias of the choice of kernel andbandwidth are considered. Under some circumstances … the bias canbe dominated by the edge effect. We show that this problem can bemitigated by tapering. Some extensions and … estimates are considered for stationary data observed on a d-dimensional lattice. The implications for edge effect bias of the …

convergence rate, faces two obstacles. One is the "edge effect", which worsens with increasing d. The other is the possible … standard device for avoiding the edge effect has disastrous asymptotic performance, along with finite sample numerical … edge-effect correction, providing an estimate with a slow convergence rate, then improving this by a sequence of …

convergence rate, faces two obstacles. One is the "edge effect", which worsens with increasing d. The other is the possible … standard device for avoiding the edge effect has disastrous asymptotic performance, along with finite sample numerical … edge-effect correction, providing an estimate with a slow convergence rate, then improving this by a sequence of …

standard convergence rate, faces two obstacles. One is the 'edge effect', which worsens with increasing d. The other is the … for avoiding the edge effect has disastrous asymptotic performance, along with finite sample numerical drawbacks, the … problems by first optimizing a standard, guaranteed non-negative, discrete-frequency, Whittle function, without edge-effect …