scholarly journals Convergence of moments of twisted COE matrices

2021 ◽  
Vol 62 (6) ◽  
pp. 063502
Author(s):  
Gregory Berkolaiko ◽  
Laura Booton
1993 ◽  
Vol 30 (02) ◽  
pp. 365-372 ◽  
Author(s):  
Søren Asmussen ◽  
Ger Koole

A Markovian arrival stream is a marked point process generated by the state transitions of a given Markovian environmental process and Poisson arrival rates depending on the environment. It is shown that to a given marked point process there is a sequence of such Markovian arrival streams with the property that as m →∞. Various related corollaries (involving stationarity, convergence of moments and ergodicity) and counterexamples are discussed as well.


1983 ◽  
Vol 20 (01) ◽  
pp. 191-196 ◽  
Author(s):  
R. L. Tweedie

We give conditions under which the stationary distribution π of a Markov chain admits moments of the general form ∫ f(x)π(dx), where f is a general function; specific examples include f(x) = xr and f(x) = esx . In general the time-dependent moments of the chain then converge to the stationary moments. We show that in special cases this convergence of moments occurs at a geometric rate. The results are applied to random walk on [0, ∞).


Author(s):  
Victor M. Panaretos ◽  
Yoav Zemel

Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to reconfigure the probability mass of one distribution in order to recover the other distribution. They are ubiquitous in mathematics, with a long history that has seen them catalyze core developments in analysis, optimization, and probability. Beyond their intrinsic mathematical richness, they possess attractive features that make them a versatile tool for the statistician: They can be used to derive weak convergence and convergence of moments, and can be easily bounded; they are well-adapted to quantify a natural notion of perturbation of a probability distribution; and they seamlessly incorporate the geometry of the domain of the distributions in question, thus being useful for contrasting complex objects. Consequently, they frequently appear in the development of statistical theory and inferential methodology, and they have recently become an object of inference in themselves. In this review, we provide a snapshot of the main concepts involved in Wasserstein distances and optimal transportation, and a succinct overview of some of their many statistical aspects.


2013 ◽  
Vol 2 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Lucas Melgaço

Brazilian geographer Milton Santos is among the most influential theorists in Brazil and in the rest of Latin America yet his work has not until now been popularized in Anglo-American scholarship. Santos created a solid theoretical framework composed by a set of articulated concepts, some of which are discussed in this paper: technical-scientific and informational milieu, technical unicity, convergence of moments, enlargement of contexts, knowability of the planet, contemporary acceleration, psycho-sphere, techno-sphere and counter-rationalities. This article also presents Santos' conception of globalization as fable, perversity and possibility. Through a review of the author's main works, particularly the book Toward an Other Globalization, and through the application of some of his concepts to the analysis of contemporary events, this article intends to offer an introduction to Santos to the Anglo world and to demonstrate how his conceptual framework can contribute to the literature on surveillance and urban security.


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