the statistical analysis of spatial data is usually done under gaussian assumption for the underlying random field model. when this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. one of the crucial problems in this setting is specifying the block sizes. in this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...

normal 0 false false false en-us x-none ar-sa background: regional anesthesia is widely used to perform different surgical procedures including those performed on the extremities . in this study, the anesthetic effects of adding intrathecal neostigmine or magnesium sulphate to bupivacaine in patients under lower extremities surgeries were assessed. materials and methods: in this double-blind ra...

This paper presents a convex recovery method for block-sparse signals whose block partitions are unknown priori. We first introduce nonconvex penalty function, where the partition is adapted signal of interest by minimizing mixed $\ell _{2}/\ell _{1}$</...