We examine the performance of active, global real estate mutual funds (GREMFs), both at sector and individual fund levels. apply a bootstrap procedure to separate genuine skills from luck. find no evidence skills, but lack in bottom 10% funds. that outsourcing has positive effect on GREMFs negative overall. also timing or stock selection. Overall, our results suggest there is benefit U.S. domes...

this study investigates issues on efficiency and elasticity of broiler production in peninsular malaysia. data from 296 broiler farms were subjected to sfa, dea and bootstrap methods for technical efficiency; translog and tobit regression analyses to estimate elasticity of production and determinants of efficiency respectively in broiler production. we found that farmers produce mean efficiency...

Although Bayesian model averaging (BMA) is in principle the optimal method for combining learned models, it has received relatively little attention in the machine learning literature. This article describes an extensive empirical study of the application of BMA to rule induction. BMA is applied to a variety of tasks and compared with more ad hoc alternatives like bagging. In each case, BMA typ...

We consider the problem of resampling or bootstrapping a point process to get con dence intervals for the reduced second moment function We propose a resampling scheme for spatial data which we call the marked point method This is a variant of the block of blocks bootstrap rst introduced by K unsch A simulation study with a Poisson a clustered and a regular point process on the unit square in R...

Higher-point functions of scalar operators are a rich observable in CFTs, as they contain OPE data involving multiple spinning operators. We derive the lightcone blocks for five- and six-point snowflake channel use them to bootstrap these correlators limit. As result we determine large spin expansion coefficients two or three verify our results by comparing block decomposition higher-point gene...

We derive a framework for asymptotically valid inference in stable vector autoregressive (VAR) models with conditional heteroskedasticity of unknown form. We prove a joint central limit theorem for the VAR slope parameter and innovation covariance parameter estimators and address bootstrap inference as well. Our results are important for correct inference on VAR statistics that depend both on t...

Multifractal analysis is considered a promising tool for image processing, notably for texture characterization. However, practical operational estimation procedures based on a theoretically well established multifractal analysis are still lacking for image (as opposed to signal) processing. In the present contribution, a wavelet Leader based multifractal analysis, known to be theoretically str...

Whole-genome or multiple gene phylogenetic analysis is of interest since single gene analysis often results in poorly resolved trees. Here, the use of spectral techniques for analyzing multigene data sets is explored. The protein sequences are treated as categorical time series, and a measure of similarity between a pair of sequences, the spectral covariance, is based on the common periodicity ...

Biometric Identification Devices (BID’s) compare a physiological measurement of an individual to a database of stored templates. The goal of any BID is to correctly match those two quantities. When the comparison between the measurement and the template is performed the result is either an ”accept” or a ”reject.” For a variety of reasons, errors occur in this process. Consequently, false reject...