[PDF] Top 20 Contribution to the modelling and the parametric estimation of determinantal point processes
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Contribution to the modelling and the parametric estimation of determinantal point processes
... devoted to the study of determinantal point processes (DPPs) and their parametric ...These processes are known to be well adapted to inhibitive ... Voir le document complet
119
ESTIMATION OF THE DENSITY OF A DETERMINANTAL PROCESS
... Introduction The starting point of this work goes back to 2007 when Persi Diaconis visited our Laboratory Jean-Alexandre Dieudonné in ...that determinantal processes were ... Voir le document complet
25
Quantifying repulsiveness of determinantal point processes
... value of α, so we do not include these particular values of α in the family ...above. The condition |F(u)| ≤ 1 on α, given R and ρ, must be checked ...cases, the maximal value ... Voir le document complet
31
Adaptive estimating function inference for non-stationary determinantal point processes
... regarded the second-order composite likelihood proposed in [ 22 ] as a general- ization of the stationary case Palm likelihood but the interpretation as a second-order composite likelihood ... Voir le document complet
36
Asymptotic approximation of the likelihood of stationary determinantal point processes
... Continuous determinantal point processes (DPPs) are a class of repulsive point pro- cesses on R d with many statistical ...expression of their density is known, this expression ... Voir le document complet
33
Brillinger mixing of determinantal point processes and statistical applications
... example of stationary DPP is the stationary Poisson process with intensity ρ, which corresponds to the kernel C(x) = ρ1{x=0} ...particular and represents in some sense the ... Voir le document complet
25
Standard and robust intensity parameter estimation for stationary determinantal point processes
... application of Slutsky’s lemma. Acknowledgements The authors would like to thank Denis Allard and Alfred Stein for giving them the opportunity to contribute to this ... Voir le document complet
22
On a few statistical applications of determinantal point processes
... is the analysis of spatial point patterns observed on a bounded subset of R d , the most common situation being d = ...presence of this kind of data, a first step usually ... Voir le document complet
24
Contrast estimation for parametric stationary determinantal point processes
... and [18], see also Section 2.2, the maximum likelihood procedure seems to be the best method in terms of quadratic ...However, the expression of the likelihood ... Voir le document complet
30
Modelling the dependence of order statistics and nonparametric estimation.
... Je suis très reconnaissant à Régis Lebrun pour les nombreux échanges sur la première partie de la thèse qui concerne les copules de statistiques d’ordres, et son aide avec le logiciel Open- TURNS. Sans lui, je n’aurais ... Voir le document complet
193
Non-parametric estimation of time varying AR(1)–processes with local stationarity and periodicity
... completes the proof. Now we establish a technical lemma, which we were not able to find in the past literature (even if variants of this result may be found) and that will be extremely ... Voir le document complet
34
The non-parametric sub-pixel local point spread function estimation is a well posed problem
... Comparison of calibration patterns The γ factor introduced above permits to compare the suitability of different patterns for the psf estimation ...Since the noise ... Voir le document complet
19
Modelling microstructure noise with mutually exciting point processes
... With the availability of a huge number of quality high frequency data, there is a fast growing literature devoted to the modelling of intra-daily asset prices ...Bachelier ... Voir le document complet
31
CONTRIBUTION TO EPISTASY MAPPING METHODS THROUGH THE USE OF NON-PARAMETRIC METHODOLOGY
... seen the emergence of a wealth of biological information and a steep increase in the rate of development of genomic and other basic biological ...access to ... Voir le document complet
138
Particle transport in neutral xenon: 2D modelling approach for the contribution of recombination processes to VUV emissions
... Torr, the frequencies of collisional reactions ...R.14 and R.15 are significantly enhanced. Consequently, 2D distributions and 1D profiles of certain number densities are ...likely ... Voir le document complet
50
Graph sampling with determinantal processes
... form of random graph sam- pling, motivated by a simple experimental ...composed of two almost disconnected communities of equal ...always), and its second one is positive in one community, ... Voir le document complet
6
On the Meshless Numerical Modelling of Forming Processes
... specificity of the proposed numerical technique is its ability to label the nodes, that is, if we have two materials that are mixing we could label the nodes belonging at the ... Voir le document complet
9
Analysis and modelling of soil surface crusting and crop emergence. Contribution to the improvement of the SIMPLE model
... sous estimation des forces d’émergence mesurées par l’ancien dispositif ne peut donc pas expliquer les problèmes rencontrés dans la modélisation du franchissement par Aubertot et ... Voir le document complet
193
Orbit measures, random matrix theory and interlaced determinantal processes
... classes and some applications. Let us recall the three main historical steps in the description of the ten symmetry classes, ...series of classical symmetric spaces, in physical ... Voir le document complet
47
Contribution of atom transfer radical processes to the functionalization and grafting of poly-ε-caprolactone
... This contribution aims at reporting on a novel strategy for the macromolecular engineering of poly-ε-caprolactone (PCL) which is based on the use of a dual monomer / initiator compound, ... Voir le document complet
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