Results 1 to 10 of about 466,548 (211)

Transportation inequalities for Markov kernels and their applications [PDF]

open access: yesElectronic Journal of Probability, 2021
38 pages.
Baudoin, Fabrice, Eldredge, Nathaniel
openaire   +4 more sources

On the Best Exponent in Markov Inequality [PDF]

open access: yesPotential Analysis, 2012
Recall that a compact set \(E\subset\mathbb{C}^{N}\) is said to be a Markov set if there are two constants \(M>0\) and \(m>0\) such that the following inequality \[ \||\nabla P|\|\leq M(\deg P)^m\| P\|_E,\tag{(*)} \] for each polynomial \(P\) holds, where \(\nabla P=(\frac{\partial P}{\partial z_1},\dotsc, \frac{\partial P}{\partial z_N})\), \(|\nabla ...
Baran, Mirosław   +2 more
openaire   +2 more sources

An extremal inequality for long Markov chains [PDF]

open access: yes2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2014
18 pages, 1 figure.
Thomas A. Courtade, Jiantao Jiao
openaire   +3 more sources

Exponential inequalities for nonstationary Markov chains [PDF]

open access: yesDependence Modeling, 2019
Abstract Exponential inequalities are main tools in machine learning theory. To prove exponential inequalities for non i.i.d random variables allows to extend many learning techniques to these variables. Indeed, much work has been done both on inequalities and learning theory for time series, in the past 15 years.
Alquier Pierre   +2 more
openaire   +4 more sources

Random volumes in d-dimensional polytopes

open access: yesDiscrete Analysis, 2020
Random volumes in d-dimensional polytopes, Discrete Analysis 2020:15, 17 pp. This paper concerns the following general question. Given a convex body $X$ in $\mathbb R^d$, how many points do you need to choose at random from inside $X$ before with high ...
Alan Frieze, Wesley Pegden, Tomasz Tkocz
doaj   +1 more source

On Chebyshev–Markov–Krein inequalities

open access: yesJournal of Approximation Theory, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Allan Pinkus, José M. Quesada
openaire   +2 more sources

Markov’s inequality and polynomial mappings [PDF]

open access: yesMathematische Annalen, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Markov’s inequality for polynomials with real zeros [PDF]

open access: yesProceedings of the American Mathematical Society, 1985
Markov’s inequality asserts that | |
openaire   +1 more source

On the L 2 Markov Inequality with Laguerre Weight [PDF]

open access: yes, 2017
Let $w_α(t)=t^α\,e^{-t}$, $α>-1$, be the Laguerre weight function, and $|\cdot|_{w_α}$ denote the associated $L_2$-norm, i.e., $$ | f|_{w_α}:=\Big(\int_{0}^{\infty}w_α(t)| f(t)|^2\,dt\Big)^{1/2}. $$ Denote by ${\cal P}_n$ the set of algebraic polynomials of degree not exceeding $n$.
Nikolov, Geno, Shadrin, Alexei
openaire   +2 more sources

On the Markov inequality in L-spaces

open access: yesJournal of Approximation Theory, 1990
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

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