[PDF] Top 20 Contrast estimation for parametric stationary determinantal point processes
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Contrast estimation for parametric stationary determinantal point processes
... minimum contrast estimation for parametric stationary determinan- tal point ...These processes form a useful class of models for repulsive (or regular, or ... Voir le document complet
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Standard and robust intensity parameter estimation for stationary determinantal point processes
... λ for the class of stationary determinantal point ...properties for these two estimators have been established under general conditions on the underlying point ...mainly ... Voir le document complet
22
On a few statistical applications of determinantal point processes
... of stationary DPPs. Other contrast estimating functions are possible, where g is replaced by another characteristic of the point process, see Section 5 for an example with the J ...to ... Voir le document complet
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Asymptotic approximation of the likelihood of stationary determinantal point processes
... Poisson point process) is known since the seminal paper of Macchi (1975) [ 21 ...far for parameter estimation of continuous ...likelihood parametric estimation, the density must be ... Voir le document complet
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Consistency of likelihood estimation for Gibbs point processes
... consistent for a wide class of stationary Gibbs interactions, without any major restriction on the parameter ...minimum contrast result in presence of discontinuities and, in order to apply it, new ... Voir le document complet
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ESTIMATION OF THE DENSITY OF A DETERMINANTAL PROCESS
... starting point of this work goes back to 2007 when Persi Diaconis visited our Laboratory Jean-Alexandre Dieudonné in ...that determinantal processes were emerging in many areas and that there was no ... Voir le document complet
25
Brillinger mixing of determinantal point processes and statistical applications
... of stationary DPP is the stationary Poisson process with intensity ρ, which corresponds to the kernel C(x) = ρ1{x=0} ...In contrast, K(ρ) is verified by numerous covariance functions , and this makes ... Voir le document complet
25
Quantifying repulsiveness of determinantal point processes
... interest for DPPs in the statistical community is due to that their moments are explicitly known, parametric families can easily been considered, their density on any compact set admits a closed form ... Voir le document complet
31
Analysis of stationary and non-stationary long memory processes : estimation, applications and forecast
... used for testing ...the parametric methods present narrower confidence intervals, the precision with which the parameters are estimated hinges on the correct specification of the model (see Hauser, Potscher ... Voir le document complet
202
Adaptive estimating function inference for non-stationary determinantal point processes
... results for several values of R corresponding to different multiples of some parameter associated with ‘range of corre- ...lation’. For a cluster process this parameter could ...distribution for ... Voir le document complet
36
Contribution to the modelling and the parametric estimation of determinantal point processes
... standard parametric families of kernels are available, including the well-known Whittle-Matérn and the generalized Cauchy covariance functions, where the condition F (C θ ) ≤ 1 implies some restriction on the ... Voir le document complet
119
Parametric estimation of pairwise Gibbs point processes with infinite range interaction
... practical point of view, an important issue is edge ...Gibbs point process with finite range interaction R ą 0 on a window W Ă R d ...the point process on W ‘ R, where W ‘ R denotes the dilation of W ... Voir le document complet
36
On Algebraic Approach for MSD Parametric Estimation
... approach for identifying parameters of a Mass Spring Damper (MSD) system is proposed and compared to the Kalman-Bucy ...algebraic parametric method in the frequency domain yielding exact formula, when ... Voir le document complet
10
Locally stationary Hawkes processes
... Hawkes processes, an important class of self-exciting point processes, and in particular on the analysis of its spectrum, the Bartlett spectrum ...provide for the definition of a point ... Voir le document complet
32
Convex and non-convex regularization methods for spatial point processes intensity estimation
... Different estimating equations are considered, the regularized Poisson and logistic regression likelihoods, employing adaptive lasso regularization method.. TPR FPR PPV TPR FPR PPV TPR FP[r] ... Voir le document complet
47
Phase estimation for Differential Interference Contrast microscopy
... Résumé Dans cette thèse, nous nous intéressons à la microscopie DIC (Differential interference contrast) en couleur. L’imagerie DIC est reconnue pour produire des images à haut contraste et à haute résolution ... Voir le document complet
148
Rigidity of Determinantal Point Processes with the Airy, the Bessel and the Gamma Kernel
... of point processes first appears (under a different name) in the work of Holroyd and Soo [9], who established, in particular, that the determinantal point process with the Bergman kernel is ... Voir le document complet
11
A determinantal point process for column subset selection
... 1}). For this reason, we propose an algorithm that takes as input a leverage scores profile ` and a spectrum σ 2 , and outputs a corresponding random orthogonal matrix X; see Appendix E ... Voir le document complet
50
Parametric continuity of stationary distributions
... may for example be policy instruments, or regres- sion coefficients to be estimated from the ...and stationary distributions is continuous. Parametric continuity of stationary distributions is ... Voir le document complet
15
Necessary and sufficient conditions for the existence of $\alpha$-determinantal processes
... 0 for any β ∈ [α, 0] and any compact Λ ⊂ E. Theorem 5. For α < 0 and K an integral operator such that for some compact set Λ 0 ⊂ E, I + αK Λ 0 is not invertible, an α-determinantal process ... Voir le document complet
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