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Preconditioning is a technique from numerical linear algebra that can accelerate algorithms to solve systems of equations. In this pa-per, we demonstrate how preconditioning can circumvent a stringent...
We define the condition number of a nonsingular matrix on a subspace, and consider the problem of finding a subspace of given dimension that minimizes the condition number of a given matrix. We give a...
In approachability with full monitoring there are two types of conditions that are known to be equivalent for convex sets: a primal and a dual condition. The primal one is of the form: a set C is appr...
In the high-dimensional regression model a response variable is linearly related to $p$ covariates, but the sample size $n$ is smaller than $p$. We assume that only a small subset of covariates is `ac...
Preconditioning is a technique from numerical linear algebra that can accelerate algorithms to solve systems of equations. In this pa-per, we demonstrate how preconditioning can circumvent a stringent...
We define an indefinite Wishart matrix as a matrix of the formA=WTWΣ, where Σis an indefinite diagonal matrix andWis a matrix of independent standard normals. We focus on the case whereWis L×2which ha...
We show that under a linearity condition on the distribution of the predictors, the coefficient vector in a single-index regression can be estimated with the same efficiency as in the case when the ...
We investigate the x log x condition for a general (Crump–Mode–Jagers) multi-type branching process with a general type space by constructing a size-biased population measure that relates to the ord...
The paper proves theorems of [6] which are given here in a more general form. Moreover, some applications of the introduced version of the Anscornbe condition are discussed.
A class of multidimensiond distributions is considered. This class contains all the elliptically contoured distributions having sup-exponential weight function. Each representative of the class dete...
Risk bounds for Classification and Regression Trees (CART, Breiman et. al. 1984) classifiers are obtained under a margin condition in the binary supervised classification framework. These risk bound...
Let $Pi_{infty}$ be the standard $Lambda$-coalescent of Pitman, which is defined so that $Pi_{infty}(0)$ is the partition of the positive integers into singletons, and, if $Pi_n$ denotes the restricti...
We give a sufficient criterion for the weak disorder regime of directed polymers in random environment, which extends a well-known second moment criterion. We use a stochastic representation of the si...
We use our maximum inequality for p-th order random variables (p>1) to prove a strong law of large numbers (SLLN) for sequences of p-th order random variables. In particular, in the case p=2 our resu...

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