Results 111 to 120 of about 700,908 (311)

Stochastic volatility and stochastic interest rates with mean-reverting Ornstein-Uhlenbeck and square root processing

open access: yes, 2005
In this paper, we extend the stochastic volatility model of Stein and Stein [25], where the volatility is given by a mean-reverting Ornstein-Uhlenbeck process to include stochastic interest rate given by mean-reverting square root process independent of ...
King, Rik, Ahlip, Rehez
core  

Lp-solutions Of The Stochastic Transport Equation

open access: yes, 2015
We consider the stochastic transport linear equation and we prove existence and uniqueness of weak Lp-solutions. Moreover, we obtain a representation of the general solution and a Wong-Zakai principle for this equation.
Catuogno P., Olivera C.
core   +1 more source

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

open access: yesAdvanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu   +13 more
wiley   +1 more source

Do Firms’ Growth Rates Follow a Random Walk? Evidence from Incubated Small and Medium Enterprises in South Africa

open access: yesAfrican Journal of Inter-Multidisciplinary Studies, 2023
Debate on the validity of the Law of Proportionate Effect (LPE) on firm growth is ongoing decades after it was postulated by Gibrat in 1931. The theoretical model which asserts that firm growth follows a random walk has been largely tested in developed ...
Helper Zhou, Robert Zondo
doaj   +2 more sources

Appendix C Sensitivity of Stochastic Models Hansen, T. M. and Singh, S, April 1997

open access: yes, 2007
Contents C Sensitivity Analysis of Stochastic Models of the Crust 1 C.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 C.2 Fractal Nature of the Crust . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sensitivity Of Stochastic
core  

Dual‐Mode Magnetic Elastomer for On‐Demand Motion and Degradation

open access: yesAdvanced Functional Materials, EarlyView.
A dual‐mode magnetic elastomer is introduced, enabling DC field‐driven programmable actuation and AC field‐driven magnetothermal degradation. GHz‐range magnetic fields generate ultrafast heating of magnetic nanoparticles that activates cleavage of the silicone elastomer matrix.
Jieun Han   +13 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Asymptotic behaviours of stochastic differential delay equations

open access: yes, 2005
Most of the existing results on stochastic stability use a single Lyapunov function, but we shall instead use multiple Lyapunov functions in this paper.
Shen, Yi   +3 more
core   +1 more source

How to differentiate a quantum stochastic cocycle. [PDF]

open access: yes, 2010
Two new approaches to the infinitesimal characterisation of quantum stochastic cocycles are reviewed. The first concerns mapping cocycles on an operator space and demonstrates the role of H\"older continuity; the second concerns contraction operator ...
Lindsay, J Martin   +2 more
core   +1 more source

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

open access: yesAdvanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

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