Pairwise interaction point processes with a smooth in-
Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes
... Gibbs point process is usually an intractable function of the model ...repulsive pairwise interaction point processes, this intensity can be expressed as the Laplace transform of some ...
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Pairwise interaction point processes for modelling bivariate spatial point patterns in the presence of interaction uncertainty
... a pairwise interaction Gibbs marked point process to the data using a Bayesian approach and quantify the inhibitory interactions within and between the two ...
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N fold way simulated tempering for pairwise interaction point processes
... In order to exploit the computational saving produced by the N -fold way algo- rithm we use a simulated tempering scheme to combine N-fold way sampling of the modified Besag lattice process with standard ...
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Parametric estimation of pairwise Gibbs point processes with infinite range interaction
... The remainder of this paper is organized as follows. In Section 2 we recall some basic facts about Gibbs point processes and we explain how to generalize inference methods for Gibbs models with infinite ...
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Parametric estimation of pairwise Gibbs point processes with infinite range interaction
... range interaction, consistency and asymptotic normality of the pseudolikelihood and logistic regression estimators are established in Jensen and Møller (1991); Jensen and Künsch (1994); Billiot et ...practical ...
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Service Processes and Customer Interaction
... ITT Flygt (Flygt) is part of the ITT Group and the world-leading supplier of submersible drainage, sewage, and propeller pumps and sewage mixers. At year-end 2006 Flygt had a turnover of $1.14bn. Service operations are ...
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Cluster point processes on manifolds
... us point out that the results of the present paper are new even in the case of Poisson and Gibbs cluster point processes in R d , where our new approach allows one to handle more general models, for ...
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Feature Interaction Detection by Pairwise Analysis of LTL Properties - a case study
... (dialed[i] == i) and q is (network event[i] == engaged) (see [5]). This formula would be problematic in two ways. On the one hand it could be satisfied in a sit- uation where a caller dialed his/her own number but failed ...
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Modern statistics for spatial point processes
... attractive interaction within and between the two types of ants can be ...the interaction parameter, except for a narrow range of values, the distribution will either be concentrated on point ...
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Models for Spatial Point Processes on the Sphere
... with interaction terms) or point processes with more points, a much faster MCMC algorithm is needed, otherwise the Bayesian approach is too computational expensive to be ...
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Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
... the pairwise interactions between users, items and ...our pairwise interaction model clearly out- performs the CD model in prediction quality and slightly in ...
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High minima of non-smooth Gaussian processes
... for some c ∈ (0, ∞). Our goal in this paper is to obtain results on the asymptotics of the right tail of the Gaussian minimum, more precise than the logarithmic asymp- totics (1.1), when the process X is not so ...
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A fixed point theorem for smooth extension maps
... compact smooth n-manifold, with or without boundary, and let A be an (n – 1)-dimensional smooth submanifold of the interior of X ...a smooth map and f : (X , A) → (X ,A) be a smooth map whose ...
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Branching stable point processes
... -stable point processes characterised ...stable point processes and established the corresponding spectral representation of their ...for point processes and its continuous ...
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Determinantal Point Processes for Coresets
... second point: given that these higher-order inclusion probabilities offer extra degrees of freedom and due to simple variance arguments (theorems of Section ...final point is the rebalancing property of ...
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Discrete determinantal point processes
... determinantal point processes Roughly speaking, point process are random configurations of ...terminantal point processes are examples of simple point process, meaning that ...
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Integration with stochastic point processes
... A. CENG˙IZ ¨OZT˙IREL˙I ETH Zurich We present a novel comprehensive approach for studying error in inte- gral estimation with point distributions based on point process statistics. We derive exact formulae ...
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Learning Determinantal Point Processes
... determinantal point processes can be applied to subset selection tasks like extractive sum- marization, where negative interactions are key and traditional models like Markov random fields can be ...
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Determinantal Point Processes for Coresets
... determinantal point processes ...repulsive point processes with tractable theoretical properties, enabling us to prove general coreset ...
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A review of point set registration: from pairwise registration to groupwise registration
... two point sets. To preserve the local structure of point sets, the idea of local linear embedding (LLE) was ...the point set could be preserved after the non-rigid transformed. Each point can ...
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