We provide a model of an endowment economy with two competing, but intrinsically
worthless currencies (Dollar, Bitcoin). Dollars are supplied by a central bank to achieve its …

The field of energy forecasting has attracted many researchers from different fields (eg,
meteorology, data sciences, mechanical or electrical engineering) over the last decade …

Includes material for a standard graduate class, advanced material not covered by the
standard course but necessary in order to read research literature in the area, and extensive …

Throughout this section E will be a locally compact separable metric space equipped with its
Borel-algebra BE/. We write MC. E/for the set of all locally finite, inner regular Borel …

We present a canonical way to turn any smooth parametric family of probability distributions
on an arbitrary search space X into a continuous-time black-box optimization method on X …

Brownian motion is one of the most important stochastic processes in continuous time and
with continuous state space. Within the realm of stochastic processes, Brownian motion is at …

Nonuniform subsampling methods are effective to reduce computational burden and
maintain estimation efficiency for massive data. Existing methods mostly focus on …

The new era of gravitational wave astronomy truly began on September 14, 2015, with the
detection of GW150914, the sensational first direct observation of gravitational waves from …

This volume concentrates on how to construct a Markov process by starting with a suitable
pseudo-differential operator. Feller processes, Hunt processes associated with Lp-sub …

We study the problem of learning an unknown function using random feature models. Our
main contribution is an exact asymptotic analysis of such learning problems with Gaussian …