Despite considerable efforts, known genetic associations only explain a small fraction of predicted heritability. Regional associations combine information from multiple contiguous genetic variants and can improve variance explained at established association loci. However, regional associations are not easily amenable to estimation using summary association statistics because of sensitivity to...

This study presents a method to model population densities by using image texture statistics of semi-variance. In a case study of the City of Austin, Texas, we first selected sample census blocks of the same land use to build population models by land use. Regression analyses were conducted to infer the relationship between block population densities and image texture statistics of the semivari...

In this paper, we propose some novel normalization and fusion techniques for biometric matching score level fusion in person verification. While conventional matching score level fusion methods use global score statistics, we consider in this work both genuine and impostor statistics separately. Performing a joint mean normalization of the separate monomodal scores, multimodal scores with less ...

This paper introduces a new approach to estimate the variance of statistics that are computed from an inhomogeneous spatial point process. The proposed approach is based on the assumption that the observed point process can be thinned to be a second-order stationary point process, where the thinning probability depends only on the first-order intensity function of the (unthinned) original proce...

We study the pattern statistics representing the number of occurrences of a given string in a word of length n generated at random by rational stochastic models, defined by means of weighted finite automata. We get asymptotic estimations for the mean value and the variance of these statistics under the hypothesis that the matrix of all transition weights is primitive. Our results extend previou...

This review introduces one-way analysis of variance, which is a method of testing differences between more than two groups or treatments. Multiple comparison procedures and orthogonal contrasts are described as methods for identifying specific differences between pairs of treatments.

This paper is an extension of EbayesThresh (the empirical bayesian thresholding method) under assumption of data with homogeneous standard deviation noises described in Johnstone and Silverman (2004)[1]. We ease this restriction, allowing heterogeneous standard deviation of noises, and provide details in estimating the true effects with posterior estimator, e.g. posterior mean or posterior medi...

1. INTRODUCTION The Bureau of Labor Statistics' (BLS) Current Employmem Statistics (CES) Survey gathers data monthly from over 380,000 nonagricultural business establishments allocated across all States, for the purpose of estimating total employment, employment of women and production workers, hours, and earnings. Estimates are made for over 1,500 industry cells, complementing the demographic ...

We propose several multivariate variance ratio statistics. We derive the asymptotic distribution of the statistics and scalar functions thereof under the null hypothesis that returns are unpredictable after a constant mean adjustment (i.e., under the Efficient Market Hypothesis). We do not impose the no leverage assumption of Lo and MacKinlay (1988) but our asymptotic standard errors are relati...

this paper analyses efficiency of short horizon event study methodology in general and efficiency of various test statistics based on price and trading volume in the period (iranian calendar) 1380:1389-q1 (2240 days) applying simulation method. we evaluate efficiency of 8 test statistics including parametric, non-parametric and induced variance statistics. we find various test statistics have e...