Stochastic volatility models are very flexible models able to characterize financial volatility evolution. This article explores computational capabilities based on Graphical Processing Units to simulate many Monte Carlo Markov chains in estimating stochastic volatility model parameters through...

We compare two approaches to using information about the signs of structural shocks at specific dates within a structural vector autoregression (SVAR): imposing ‘narrative restrictions’ (NR) on the shock signs in an otherwise set-identified SVAR; and casting the information about the shock...

In empirical macroeconomics, proxy structural vector autoregressive models (SVARs) have become a prominent path towards detecting monetary policy (MP) shocks. However, in practice, the merits of proxy SVARs depend on the relevance and exogeneity of the instrumental information employed. Our...

To effectively improve the indoor local thermal environment, a novel directional heat radiation (DHR) device was designed. In the present paper, the thermal radiation effect of the directional setting DHR device was verified through experiments, and the heat transfer process of the DHR device...

We develop a flexible Kinetic Monte Carlo algorithm that allows us to simulate drug release from swelling systems such as hydrogels. Our algorithm can be used for a wide range of problems as long as the interactions between the drug particles and the medium can be described by a local effective...

Understanding the health risks of toxic elements (TEs) in urban park soils and determining their priority control factors are crucial to public health and pollution management. In this work, soil samples from 33 urban parks in Guiyang, a typical karstic city, were collected. Results showed that...

On-site calibration technology is an important technical means for calibration of fixed gamma dose instruments in large nuclear facilities. The two key factors that affect the calibration effect are: the calibration source and the agreed true value. This paper studies the characteristics of the...

Due to the frequently changing environments associated to thru-casing density measurement, the detector response varies largely. This creates the challenge to simulate all environmental variations to acquire detector responses, which is computational expensive and time consuming. To address...

This paper proposes a novel method based on Monte Carlo Ray Tracing for high-precision and low time computation processing of view factors in random assemblies of cylindrical packed beds. The Monte Carlo Ray Tracing method is improved by coupling it with Kowsary’s tangent sphere method under...