We enumerate and classify all stationary logarithmic configurations of d + 2 d+2 </inline-formu...

The two general data analytic questions of subgroup mining (B2.2) deal with deviations and associations (C5.2.3, C5.2.4). A deviation pattern describes a deviating behavior (distribution) of a target variable in a subgroup. Target variable and behavior type are selected by the analyst for an individual mining task, the deviating subgroups are determined by the mining method. Deviation patterns ...

We study multidimensional stochastic volatility models in which the process is a positive continuous function of Volterra that can be not self-similar. The main results obtained this paper are generalization due, one-dimensional case, to Cellupica and Pacchiarotti (J. Theor. Probab. 34(2):682–727). state some (pathwise finite-dimensional) large deviation principles for scaled log-price as conse...

We develop transportation-entropy inequalities which are saturated by measures such that their log-density with respect to the background measure is an affine function, in setting of uniform on discrete hypercube and exponential measure. In this sense, extends well-known result Talagrand Gaussian case. By duality, these imply a strong integrability inequality for Bernoulli processes. As result,...

This editor’s note gives an overview of the content this issue which is sponsored by Oregon Sea Grant.

This study developed a novel approach for evaluating the infectivity of enteric viruses without cell culture. Cumulative carbonyl groups on the viral capsid protein were labeled using biotin hydrazide, and the biotinylated virions were separated using a spin column filled with avidin-immobilized gel. Rotavirus was treated with free chlorine at an initial concentration of 0.3 mg/L for 3 min, and...

This paper describes a new variant of the least-mean-squares (LMS) algorithm, with low computational complexity, for updating an adaptive lter. The reduction in complexity is obtained by using values of the input data and the output error, quantized to the nearest power of two, to compute the gradient. This eliminates the need for multipliers or shifters in the algorithm's update section. The q...