The asymptotic theory for the sample mean of a marked point process in d dimensions is established, allowing for the possibility that the underlying Poisson point process is inhomogeneous. A novel local block bootstrap method for resampling inhomogeneous Poisson marked point processes is introduced, and its consistency is proven for the sample mean and related statistics. Finite-sample simulati...

An interesting prediction problem involving degradation of materials exposed to outdoor environments (weathering) is the estimation of the distribution of future cumulative degradation using smallto moderate-size degradation data sets. This distribution, which is assumed to arise as a result of the uncertainty/variability in the weather, can be expressed mathematically as the distribution of th...

Partial plastid 23S and nuclear 18S rDNA genes were amplified and sequenced from 2 morphologically similar Eimeria species. E. antrozoi from a bat (Antrozous pallidus) and E. arizonensis from deer mice (Peromyscus spp.), as well as some other Eimeria species from bats and rodents. The phylogenetic trees clearly separated E. antrozoi from E. arizonensis. The phylogenies based on plastid 23S rDNA...

We consider the comparison of multiple (possibly all misspecified) models in terms of their out of sample predictive ability. Typically, candidate models compared contain parameters estimated using recursive (or related rolling) estimation schemes. In some cases, predictive evaluation tests have a limiting distribution which is a functional over a Gaussian process, with a covariance kernel that...

Artificially generated functional magnetic resonance imaging (fMRI) data drawn from a block-based visual stimulation paradigm were analyzed by the stochastic neuromorphic extended BS Infomax algorithm [1] implementing spatial independent component analysis (ICA) [2]. Variance estimate based on bootstrap resampling [3] was employed as model selection criterion and reliability assessment of ICA d...

Finite sample critical values of the rescaled range or R/S statistic may be obtained by bootstrapping. The empirical size and power performance of these critical values is good. Using the post blackened, moving block bootstrap helps to replicate the time dependencies in the original data. The Monte Carlo results show that the asymptotic critical values in Lo (1991) should not be used.