Results 101 to 110 of about 22,447 (299)
Memristive Physical Reservoir Computing
Advanced Science, EarlyView.Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors
Advanced Science, EarlyView.. ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton +4 more
wiley +1 more source
Real Option Valuation with Stochastic Interest Rate and Stochastic Volatility
Matematika, 2019 . Real options are one of the most interesting research topics in Finance since 1977 Stewart C. Myers from MIT Sloan School of Management published his pioneering article on this subject in the Journal of Financial Economics.
Ramdhan Fazrianto Suwarman
doaj +1 more source
"Exact" and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study. [PDF]
Entropy (Basel), 2021 Shapovalova Y.
europepmc +1 more source
CEV MODEL WITH STOCHASTIC VOLATILITY
Journal of Vasyl Stefanyk Precarpathian National University, 2019 This paper develops a systematic method for calculating approximate prices for a wide range of securities implying the tools of spectral analysis, singular and regular perturbation theory. Price options depend on stochastic volatility, which may be multiscale, in the sense that it may be driven by one fast-varying and one slow-varying factor. The found
BURTNYAK, IVAN, MALYTSKA, ANNA
openaire +4 more sources
Advanced Science, EarlyView.The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng +9 more
wiley +1 more source
Dynamic shrinkage in time-varying parameter stochastic volatility in mean models. [PDF]
J Appl Econ (Chichester Engl), 2021 Huber F, Pfarrhofer M.
europepmc +1 more source
Forecasting Volatility in Financial Markets Using a Bivariate Stochastic Volatility Model with Surprising Information [PDF]
Most asset returns exhibit high volatility and its persistence. Heuristically, this paper focuses on the role of surprising information in high volatility processes and indicates that dismissing surprising information may lead to considerable loss in ...
Beum-Jo Park
core
Superlattice Architectures for Advancing Photothermal Catalysis: Mechanisms and Applications
Advanced Science, EarlyView.This paper provides a timely overview of superlattice architectures in photothermal catalysis, with a systematic review on mechanisms at both atomic and macroscopic scales in different processes, challenges, and future opportunities. ABSTRACT Photothermal catalysis has emerged as a powerful strategy to complement photocatalysis by harnessing full ...
Yuzhao Wu +5 more
wiley +1 more source
Realised power variation and stochastic volatility models [PDF]
Limit distribution results on realised power variation, that is sums of absolute powers of increments of a process, are derived for certain types of semimartingale with continuous local martingale component, in particular for a class of flexible ...
Neil Shephard, Ole E. Barndorff-Nielsen
core