Comparison of order statistics in a random sequence to the same statistics with I.I.D. variables

Key-words: neuron models, stohasti proesses, spikes trains statistis, rst hitting

Incremental discretization is mainly used in two fields: (i) data mining field to be able to discretize large data set or to discretize data on the fly; (ii) Data Base Man-

For the second layer, among methods using order statistics two are particularly in- teresting considering their performances: MDLP (Recursive Entropy Discretization) [3] and MODL

Rather than setting an arbitrary threshold on modal overlapping as a necessary condition for an overmoded behaviour, the statistical uncertainty due to the limited number of

Our definition of an ovemoded cavity (and thus of a diffused field) is based on the use of a modal description of the field excited within an RC, coupled to a statistical approach.

Supposing some small errors at the coefficients of the transfer function due to analog system, the proposed model approximates these errors using only the sampled output of the

2014 The Dirichlet series of the multiplicative theory of numbers can be reinterpreted as partition functions of solvable quantum mechanical systems.. We

We prove a new concentration inequality for U-statistics of order two for uniformly ergodic Markov chains. Working with bounded π -canonical kernels, we show that we can recover