Operator-valued Kernel-based Vector Autoregressive Models for Network Inference

Thus, the aim for operational considerations is to estimate the error asso- ciated with the “self preservation” hypothesis, which is well suited (and up to now largely used)

† Keywords: heat kernel, quantum mechanics, vector potential, first order perturbation, semi-classical, Borel summation, asymptotic expansion, Wigner-Kirkwood expansion,

To enrich the model which can be based on Formula (1), it is possible to associate different thresholds (weak preference, preference, weak veto, veto; see, e.g., [BMR07]) with

Introduction Models Disaggregation Rank Illustration Inference Implementation On the rank of a bipolar-valued outranking

Czech mountain ski resorts – origin of visitors (authors, based on data from T-Mobile) The data from the mobile network was only one of the sources - it supplements the

This paper investigates the lag length selection problem of a Vector Error Correction Model (VECM) by using a convergent information criterion and tools based on the

It yields two different asymptotic behaviors for the large local densities and maximal value of the bifurcating autoregressive process.. Keywords: Branching process,

Then there exists a real analytic family of real analytic vector fields {XQ +/Ys} tangent to V, with an algebraically isolated singularity at 0 parametrized by a connected