The context for this article is a continuous financial market consisting of a risk-free savings account and a single non-dividend-paying risky security. We present two concrete models for this market, in which strict local ...

Conventionally, when a circular arch is subjected to uniform radial loading, the difficulty in performing an accurate prebuckling analysis is usually circumvented by considering that the uniform radial loading produces ...

Traditional similarity measurements often become meaningless when dimensions of datasets increase. Subspace clustering has been proposed to find clusters embedded in subspaces of high-dimensional datasets. Many existing ...

We outline a theory for electromagnetic scattering by cylinder gratings in conical incidence, based on a multipole method. The theory, and its numerical implementation; can be applied to photonic crystaLs consisting ...

Optimal stopping problems form a class of stochastic optimization problems that has a wide range of applications in sequential statistics and mathematical finance. Here we consider a general optimal stopping problem with ...

We study the size distribution of business cycles phases, that is expansions and contractions, for a sample of 16 industrialized countries over 120 years. We find that the best-fitting distribution for both expansions and ...

Recognising and understanding the diverse ways that students learn is an important step in setting up effective environments for learning. A traditional way of getting this information is to observe the quality of assessed ...

We show that a unitary operation (quantum circuit) secretly chosen from a finite set of unitary operations can be determined with certainty by sequentially applying only a finite amount of runs of the unknown circuit. No ...

We derive methods for enumerating the distinct junction tree representations for any given decomposable graph. We discuss the relevance of the method to estimating conditional independence graphs of graphical models and ...

This paper introduces a new estimation technique for discretely observed diffusion processes. Transform functions are applied to transform the data to obtain good and easily calculated estimators of both the drift and ...