Journal Diffusion Factors – a measure of diffusion?

The index of regularity of a measure was introduced by Beirlant, Berlinet and Biau [1] to solve practical problems in nearest neighbour density estimation such as removing bias

We would like to show that the stochastic differential equation (1) admits a unique invariant probability measure that we denote in the following πλ, and to give an explicit formula

During this period, the five journals most frequently cited by research published in JPIM were Journal of Marketing (15.5% of all citations), Journal of Marketing Research

For systems described by Markov Models, [5, 4] propose an importance measure, called multi- directional sensitivity measure (MSM), which corresponds to the derivative of the

We consider here a model of accelerating fronts, introduced in [2], consisting of one equation with nonlocal diffusion on a line, coupled via the boundary condition with

We propose the percentage of articles bookmarked as an indication of the usage ratio per journal, the number of users per journal as a measure of the diffusion and the average number

We show that these approximate signed measures converge to a positive measure that agrees (up to a constant factor 2) with the limiting measure of [1] described in Section 3.3, and

We proposed a novel metric, based on a simple structure from factor analysis, for the measurement of the interpretability of factors delivered by matrix de- composition