Extreme value (EV) statistics of correlated systems are widely investigated in many fields,
spanning the spectrum from weather forecasting to earthquake prediction. Does the …

A pedagogical account of some aspects of extreme value statistics (EVS) is presented from
the somewhat non-standard viewpoint of large deviation theory. We address the following …

The real-space renormalization procedures on hierarchical lattices have been much studied
for many disordered systems in the past at the level of their typical fluctuations. In the present …

We consider the extreme value statistics of N independent and identically distributed
random variables, which is a classic problem in probability theory. When N→∞, fluctuations …

In this work the-norms of points chosen uniformly at random in a centered regular simplex in
high dimensions are studied. Berry–Esseen bounds in the regime are derived and …

For a powered Poisson process, we define Signal-to-Interference-plus-Noise Ratio (SINR)
and thesinr network as a Telecommunication Network. We define the Empirical Measures …

The term moderate deviations is often used in the literature to mean a class of large
deviation principles that, in some sense, fills the gap between a convergence in probability …

Performance modeling of bulk-synchronous HPC applications is challenging in the
presence of rare, colossal interference. This difficulty is attributed to the lack of available …

We quantify the large deviations of Gaussian extreme value statistics on closed convex sets
in d-dimensional Euclidean space. The asymptotics imply that the extreme value distribution …

The term moderate deviations is often used in the literature to mean a class of large
deviation principles that, in some sense, fills the gap between a convergence in probability …