We present observations at 1.4 and 250 GHz of the z 5:7 Ly emitters (LAEs) in the COSMOS field found by Murayama et al. At 1.4 GHz there are 99 LAEs in the lower noise regions of the radio field. We do not detect any individual source down to 3 limits of 30 Jy beam 1 at 1.4 GHz, nor do we detect a source in a stacking analysis, to a 2 limit of 2.5 Jy beam . At 250 GHz we do not detect any of th...

The goal of this paper is to address the problem of evaluating the performance of a system running under unknown values for its stochastic parameters. A new approach called LAD for Simulation, based on simulation and classification software, is presented. It uses a number of simulations with very few replications and record the mean value of directly measurable quantities (called observables). ...

Least absolute deviations (LAD) estimation of linear time series models is considered under conditional heteroskedasticity and serial correlation. The limit theory of the LAD estimator is obtained without assuming the finite density condition for the errors that is required in standard LAD asymptotics. The results are particularly useful in application of LAD estimation to financial time series...

In this paper we present two robust estimates for GARCH(p,q) models. The first is defined by the minimization of a conveniently modified likelihood and the second is similarly defined, but includes an additional mechanism for restricting the propagation of the effect of one outlier on the next estimated conditional variances. We study the asymptotic properties of our estimates proving consisten...

An estimator of shrinkage based on information contained in a single sample is presented and the results of a simulation study are reported. The effects of sample size, amount, and severity of nonrepresentative data in the population, inclusion of noninformative predictors, and least (sum of ) absolute deviations and least (sum of ) squared deviations regression models are examined on the estim...

Alidaee and Ahmadian considered a single machine scheduling problem with varying processing times, and presented a polynomial algorithm that minimizes the sum of absolute deviations of jobs’ completion times from a common due date. In this short note we remark that it is possible to eliminate one of the algorithm steps, therefore obtaining a more efficient procedure. We also show that the appro...

This paper proposes a relaxed algorithm based on mixed integer linear programming (MILP) to extend the LAD methodology to solve multi-class classification problems, where One-vs-Rest (OvR) learning models are constructed to classify observations in predefined classes. The suggested algorithm has two control parameters, homogeneity and prevalence, for improving the classification accuracy of the...

This study uses heteroskedastic Tobit and Censored Least Absolute Deviations models to examine the impacts of dairy cow ownership on selected outcomes for a sample of 184 households in coastal Kenya. The outcomes examined include gross household cash income, gross non-agricultural income, consumption of dairy products, time allocated to cattlerelated tasks, number of labourers hired and total w...

Recent European guidelines have emphasized the association of vegetation size with embolic risk in endocarditis (1). On these grounds, left-sided vegetations >1 cm, and right-sided vegetations >2 cm are considered to be an indication for surgery. In this issue of iJACC, investigators from the MEDIC (Multicenter Electrophysiologic Device Cohort) registry report the importance of vegetation size ...