Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alessandra Cipriani"'
Publikováno v:
Cipriani, A, Hirsch, C & Vittorietti, M 2023, ' Topology-based goodness-of-fit tests for sliced spatial data ', Computational Statistics and Data Analysis, vol. 179, 107655 . https://doi.org/10.1016/j.csda.2022.107655
Computational Statistics and Data Analysis, 179:107655. ELSEVIER SCIENCE BV
Computational Statistics and Data Analysis, 179:107655. ELSEVIER SCIENCE BV
In materials science and many other application domains, 3D information can often only be extrapolated by taking 2D slices. In topological data analysis, persistence vineyards have emerged as a powerful tool to take into account topological features
Publikováno v:
Journal of Statistical Physics, 190(1)
The discrete membrane model is a Gaussian random interface whose inverse covariance is given by the discrete biharmonic operator on a graph. In literature almost all works have considered the field as indexed over $\mathbb{Z}^d$, and this enabled one
Publikováno v:
Journal of Statistical Physics. 182
In this article we study the scaling limit of the interface model on $${{\,\mathrm{{\mathbb {Z}}}\,}}^d$$ where the Hamiltonian is given by a mixed gradient and Laplacian interaction. We show that in any dimension the scaling limit is given by the Ga
Autor:
Alessandra Cipriani, Andrea Fontanari
In this paper we define a family of preferential attachment models for random graphs with fitness in the following way: independently for each node, at each time step a random fitness is drawn according to the position of a moving average process wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24d2a6543b037bd53a80697d7b5f65f6
http://arxiv.org/abs/1911.12402
http://arxiv.org/abs/1911.12402
Publikováno v:
Ann. Probab. 47, no. 6 (2019), 3963-4001
On the integer lattice we consider the discrete membrane model, a random interface in which the field has Laplacian interaction. We prove that, under appropriate rescaling, the discrete membrane model converges to the continuum membrane model in $d\g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2381117096efeeb13dc6b707be0db436
https://projecteuclid.org/euclid.aop/1575277345
https://projecteuclid.org/euclid.aop/1575277345
We consider a semiflexible polymer in $\mathbb Z^d$ which is a random interface model with a mixed gradient and Laplacian interaction. The strength of the two operators is governed by two parameters called lateral tension and bending rigidity, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4742c609aa65957f1b0e7b9b70bfcdb9
http://arxiv.org/abs/1909.10356
http://arxiv.org/abs/1909.10356
Publikováno v:
Journal of Theoretical Probability, 33 (2020)(4)
In this paper we complete the investigation of scaling limits of the odometer in divisible sandpiles on $d$-dimensional tori generalising the works Chiarini et al. (2018), Cipriani et al. (2017, 2018). Relaxing the assumption of independence of the w
Autor:
Bart van Ginkel, Alessandra Cipriani
In this article we aim at defining the discrete Gaussian free field (DGFF) on a compact manifold. Since there is no canonical grid approximation of a manifold, we construct a random graph that suitably replaces the square lattice $\mathbb{Z}^d$ in Eu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9bab5e86ff8a5811993c51fe3d29769
Publikováno v:
Ann. Inst. H. Poincaré Probab. Statist. 53, no. 1 (2017), 79-97
Massive and massless Gaussian free fields can be described as generalized Gaussian processes indexed by an appropriate space of functions. In this article we study various approaches to approximate these fields and look at the fractal properties of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::262af6b0a450263730051fbacfa1de4e
http://projecteuclid.org/euclid.aihp/1486544885
http://projecteuclid.org/euclid.aihp/1486544885
Publikováno v:
Probability Theory and Related Fields
Probability Theory and Related Fields, 172(3-4)
Probability Theory and Related Fields, 172(3-4), 829. Springer New York
Probability Theory and Related Fields, 172(3-4)
Probability Theory and Related Fields, 172(3-4), 829. Springer New York
In a recent work Levine et al. (2015) prove that the odometer function of a divisible sandpile model on a finite graph can be expressed as a shifted discrete bilaplacian Gaussian field. For the discrete torus, they suggest the possibility that the sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d28a6c01a1a7f2d8a81c1daf91dfd21