The observables of the GOCE three-axis gradiometer are taken in time, along the orbit and, in the timewise proposal, filtered to stay in the measurement bandwidth, i.e. in the frequency interval between 0.005 and 0.1 Hz. As a consequence, the resulting “observable” is a convolution of the original data stream with a time-wise weighting kernel. In other words, we cannot assume that the observati...

We say that a distribution over {0, 1} is ( , k)-wise independent if its restriction to every k coordinates results in a distribution that is -close to the uniform distribution. A natural question regarding ( , k)-wise independent distributions is how close they are to some k-wise independent distribution. We show that there exists ( , k)-wise independent distribution whose statistical distance...

A GREAT DEAL OF UNCERTAINTY exists regarding the effectiveness of safety incentive programs in construction. Most research on incentives involves case studies and theoretical analyses of their advantages and disadvantages. Using primary survey data from construction firms and craftworkers, this article examines the impact of incentives on the safety performance of U.S. construction firms. The s...

This paper investigates de Finetti’s coherence as an operational foundation for a wide range of non-additive uncertainty measures and focuses, in particular, on Belief functions Lower probabilities. In companion we identify number non-limiting circumstances under which Dutch Book criteria probability are undistinguishable, is surprising given that probabilities known to exist do no satisfy the ...

The microarray gene expression applications have greatly stimulated the statistical research on the massive multiple hypothesis tests problem. There is now a large body of literature in this area and basically five paradigms of massive multiple tests: control of the false discovery rate (FDR), estimation of FDR, significance threshold criteria, control of family-wise error rate (FWER) or genera...

Joshua N. Sampson, Simina M. Boca, Steven C. Moore, and Ruth Heller Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, US, [email protected] Innovation Center for Biomedical Informatics, Georgetown University, Washington, DC, US, [email protected] Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, US, steven.moor...

1 Prliminaries 2 1.1 Basic Probability concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Stochastic Differential Equations (SDE’s) . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.1 Langevin equation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Ito integral and basics of Ito calculus . . . . . . . . . . . . . . ....

We present a novel method for controlling the k-familywise error rate (k-FWER) in the linear regression setting using the knockoffs framework first introduced by Barber and Candès. Our procedure, which we also refer to as knockoffs, can be applied with any design matrix with at least as many observations as variables, and does not require knowing the noise variance. Unlike other multiple testin...