activity
20042021
most citedBounds on tail probabilities for quadratic forms in dependent sub-gaussian random variables

11 citations · 29 across the 13 of their papers we have counts for

collaborators

16 papers

math.PR2021

Multivariate -normal distributions

Krzysztof Zajkowski

The Weibull distribution can be obtained using a power transformation from the standard exponential distribution. In this article, we will consider a symmetrized power transformati…

math.PR2019

Concentration of norms of random vectors with independent -sub-exponential coordinates

Krzysztof Zajkowski

We present examples of -sub-exponential random variables for any positive . We prove two types of concentration of standard -norms (-norm is the Euclidean norm) of rand…

math.PR2018★ 11 cited

Bounds on tail probabilities for quadratic forms in dependent sub-gaussian random variables

Krzysztof Zajkowski

We show bounds on tail probabilities for quadratic forms in sub-gaussian non-necessarily independent random variables. Our main tool will be estimates of the Luxemburg norms of suc…

math.PR2018★ 1 cited

Norms of sub-exponential random vectors

Krzysztof Zajkowski

We discuss various forms of the Luxemburg norm in spaces of random vectors with coordinates belonging to the classical Orlicz spaces of exponential type. We prove equivalent relati…

math.PR2017★ 8 cited

On norms in some class of exponential type Orlicz spaces of random variables

Krzysztof Zajkowski

A new characterization of the exponential type Orlicz spaces generated by the functions () is given. We define norms for centered random variables belonging…

math.PR2017

On the Azuma inequality in spaces of subgaussian of rank random variables

Krzysztof Zajkowski

For let a function if and if . For a random variable let denote $\inf\{c\ge 0 :\; \fora…

math.PR2016

On the strong law of large numbers for -subgaussian random variables

Krzysztof Zajkowski

For let if and if . For a random variable let denote $\inf\{a\ge 0:\;\forall_{λ\in\mathbb{R}}\;…

math.PR2015★ 1 cited

A variational formula on the Cramér function of series of independent random variables

Krzysztof Zajkowski

In [11] it has been proved some variational formula on the Legendre-Fenchel transform of the cumulant generating function (the Cramér function) of Rademacher series with coefficien…

math.PR2014

Cramér transform of Rademacher series

Krzysztof Zajkowski

A variational formula for the Cramér transform of series of weighted, independent symmetric Bernoulli random variables (Rademacher series) is given.

math.FA2014

Fejer's approximation of continuous functions of unitary operators

Krzysztof Zajkowski

This paper is concerned with a certain aspect of the spectral theory of unitary operators in a Hilbert space and its aim is to give an explicit construction of continuous functions…

math.PR2013★ 5 cited

A note on the gambling team method

Krzysztof Zajkowski

Gerber and Li in \cite{GeLi} formulated, using a Markov chain embedding, a system of equations that describes relations between generating functions of waiting time distributions f…

math.PR2013

On the waiting time till some patterns occur in i.i.d. sequences

Urszula Ostaszewska, Krzysztof Zajkowski

In this paper we present some general solution of the system of linear equations formed by Guibas and Odlyzko in Th.3.3 \cite{Gui}. We derive probabilities for given patterns to be…

math.PR2012★ 2 cited

Penney's game between many players

Krzysztof Zajkowski

We recall a combinatorial derivation of the functions generating probability of winnings for each of many participants of the Penney's game and show a generalization of the Conway'…

math.PR2012★ 1 cited

Cramér transform and t-entropy

Urszula Ostaszewska, Krzysztof Zajkowski

t-entropy is the convex conjugate of the logarithm of the spectral radius of a weighted composition operator (WCO). Let be a nonnegative random variable. We show how the Cramér…

math.FA2011

Convex conjugates of analytic functions of logarithmically convex functionals

Krzysztof Zajkowski

Let be an analytic function; . We assume that is some logarithmically convex and lower semicontinuous fun…

math.PR2004

Covariance matrices of self-affine measures

K. Zajkowski

In this paper we derive a formula for a covariance matrix of any self-affine measure.