Results 11 to 20 of about 1,509,367 (295)
How to differentiate a quantum stochastic cocycle. [PDF]
, 2010 Two new approaches to the infinitesimal characterisation of quantum stochastic cocycles are reviewed. The first concerns mapping cocycles on an operator space and demonstrates the role of H\"older continuity; the second concerns contraction operator ...
Lindsay, J. Martin
core +4 more sources
Quantum stochastic operator cocycles via associated semigroups. [PDF]
, 2005 A recent characterisation of Fock-adapted contraction operator stochastic cocycles on a Hilbert space, in terms of their associated semigroups, yields a general principle for the construction of such cocycles by approximation of their stochastic ...
Wills, S. J. +4 more
core +3 more sources
HOW MANY LOBSTERS ARE IN THE SEA?
Image Analysis and Stereology, 2011 A lobster fishery must have a reasonable estimate of the number of lobsters within the fishery in order to regulate the annual harvest. Stereological sampling procedures are used to estimate the number of lobsters in a defined region of the sea.
Ernest Enns, Bruce Smith
doaj +1 more source
On Geometry and Scale of a Stochastic Chemostat [PDF]
Communications in Statistics - Theory and Methods, 2013 A chemostat is a fixed volume bioreactor in which micro--organisms are grown in a continuously renewed liquid medium. We propose a stochastic model for the evolution of the concentrations in the single species and single substrate case. It is obtained as a diffusion approximation of a pure jump Markov process, whose increments are comparable in mean ...
Joannides, Marc +1 more
openaire +2 more sources
Stochastic Geometry to Generalize the Mondrian Process
SIAM Journal on Mathematics of Data Science, 2022 The stable under iterated tessellation (STIT) process is a stochastic process that produces a recursive partition of space with cut directions drawn independently from a distribution over the sphere. The case of random axis-aligned cuts is known as the Mondrian process.
O'Reilly, Eliza, Tran, Ngoc Mai
openaire +3 more sources
Information Geometry of Spatially Periodic Stochastic Systems
Entropy, 2019 We explore the effect of different spatially periodic, deterministic forces on the information geometry of stochastic processes. The three forces considered are f 0 = sin ( π x ) / π and f ± = sin ( π x ) / π
Rainer Hollerbach, Eun-jin Kim
doaj +1 more source
U-Statistics in Stochastic Geometry [PDF]
, 2016 This survey will appear as a chapter of the forthcoming book [19]. A U-statistic of order $k$ with kernel $f:\X^k \to \R^d$ over a Poisson process is defined in \cite{ReiSch11} as$$ \sum\_{x\_1, \dots , x\_k \in η^k\_{\neq}} f(x\_1, \dots, x\_k) $$ under appropriate integrability assumptions on $f$.
Lachièze-Rey, Raphaël +1 more
openaire +3 more sources
Dimensioning of 5G Networks by Using Stochastic Geometry
International Journal of Information and Communication Technology Research, 2021 In this paper, we propose an analytical model for dimensioning of Orthogonal Frequency Division Multiple Access (OFDMA) systems in 5G networks by considering Internet of Thing (IoT) application using stochastic geometry.
Siminfar Samakoush Galougah +1 more
doaj
Gardening in the field of stochastic differential geometry
, 2021 We will take the time of this talk to look for some of the roots of stochastic differential geometry inside and outside of the field of probability theory, to emphasize some of its noticeable achievements, and to pay attention to which directions the ...
Bailleul, Ismael
core +1 more source
Image Analysis and Stereology, 2023 The main goal of this paper is to propose a method for the 3D morphological characterization of compact aggregates using 2D image analysis. The problem at hand is the 3D morphometric characterization of latex nanoparticle aggregates.
Leo Theodon +2 more
doaj +1 more source