Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage. (arXiv:1901.11491v2 [stat.CO] UPDATED)

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The sampling efficiency of MCMC methods in Bayesian inference for stochastic volatility (SV) models is known to highly depend on the actual parameter values, and the effectiveness of samplers based on different parameterizations varies significantly. We derive novel algorithms for the centered and the non-centered parameterizations of the practically highly relevant SV model with leverage,…

A lifestyle-based model of household neighbourhood location and individual travel mode choice behaviours. (arXiv:1902.01986v2 [econ.GN] UPDATED)

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Issues such as urban sprawl, congestion, oil dependence, climate change and public health, are prompting urban and transportation planners to turn to land use and urban design to rein in automobile use. One of the implicit beliefs in this effort is that the right land-use policies will, in fact, help to reduce automobile use and…

Perceived Advantage in Perspective Application of Integrated Choice and Latent Variable Model to Capture Electric Vehicles Perceived Advantage from Consumers Perspective. (arXiv:1905.11606v2 [econ.GN] UPDATED)

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Relative advantage, or the degree to which a new technology is perceived to be better over the existing technology it supersedes, has a significant impact on individuals decision of adopting to the new technology. This paper investigates the impact of electric vehicles perceived advantage over the conventional internal combustion engine vehicles, from consumers perspective, on…

On Richtmyer-Meshkov unstable dynamics of three-dimensional interfacial coherent structures with time-dependent acceleration. (arXiv:1911.12515v1 [physics.flu-dyn])

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Richtmyer-Meshkov instability (RMI) plays an important role in many areas of science and engineering, from supernovae and fusion to scramjets and nano-fabrication. Classical Richtmyer-Meshkov instability is induced by a steady shock and impulsive acceleration, whereas in realistic environments the acceleration is usually variable. We focus on RMI induced by acceleration with power-law time-dependence and apply…

Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. (arXiv:1911.12527v1 [cs.CV])

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With the development of convolutional neural network, deep learning has shown its success for retinal disease detection from optical coherence tomography (OCT) images. However, deep learning often relies on large scale labelled data for training, which is oftentimes challenging especially for disease with low occurrence. Moreover, a deep learning system trained from data-set with one…

mDCThermalC: A program for calculating thermal conductivity quickly and accurately. (arXiv:1911.12565v1 [cond-mat.mtrl-sci])

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mDCThermalC is a program written in Python for computing lattice thermal conductivity of crystalline bulk materials using the modified Debye-Callaway model. Building upon the traditional Debye-Callaway theory, the modified model obtains the lattice thermal conductivity by averaging the contributions from acoustic and optical branches based on their specific heat. The only inputs of this program…

Deep Learning for The Inverse Design of Mid-infrared Graphene Plasmons. (arXiv:1911.12566v1 [physics.app-ph])

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We theoretically investigate the plasmonic properties of mid-infrared graphene-based metamaterials and apply deep learning of a neural network for the inverse design. These artificial structures have square periodic arrays of graphene plasmonic resonators deposited on dielectric thin films. Optical spectra vary significantly with changes in structural parameters. Our numerical results are in accordance with previous…

Quantum and classical phase-space dynamics of a free-electron laser. (arXiv:1911.12584v1 [quant-ph])

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In a quantum mechanical description of the free-electron laser (FEL) the electrons jump on discrete momentum ladders, while they follow continuous trajectories according to the classical description. In order to observe the transition from quantum to classical dynamics, it is not sufficient that many momentum levels are involved. Only if additionally the initial momentum spread…

Internal flows of ventilated partial cavitation. (arXiv:1911.12585v1 [physics.flu-dyn])

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Our study provides the first experimental investigation of the internal flows of ventilated partial cavitation (VPC) formed by air injection behind a backward-facing step. The experiments are conducted using flow visualization and planar particle image velocimetry (PIV) with fog particles for two different cavity regimes of VPC, i.e., open cavity (OC) and two-branch cavity (TBC),…