Results 91 to 100 of about 72,594 (306)
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters. [PDF]
J Comput Graph Stat, 2023 Dong T, Zhang P, Liang F.
europepmc +1 more source
Mean-field approximation of stochastic population processes in games [PDF]
We here establish an upper bound on the probability for deviations of a Markov population process from its mean-field approximation.
Jörgen Weibull, Michel Benaïm
core
ON STOCHASTIC APPROXIMATION [PDF]
ETS Research Bulletin Series, 1970 ABSTRACTThis paper deals with a stochastic process for the approximation of the root of a regression equation. This process was first suggested by Robbins and Monro [1].The main result here is a necessary and sufficient condition on the iteration coefficients for convergence of the process (convergence with probability one and convergence in the ...
openaire +1 more source
An open-loop approach to study the stochastic properties [PDF]
, 2016 Randomness is an inevitable aspect of biological networks. It has been long accepted that variability of components in a network can propagate throughout the network. In this thesis, we introduce a method that allows us to decompose the total variability
Maleki, Farzaneh
core +1 more source
Advanced Materials, EarlyView.Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine +5 more
wiley +1 more source
The Stochastic Stationary Root Model
Econometrics, 2018 We propose and study the stochastic stationary root model. The model resembles the cointegrated VAR model but is novel in that: (i) the stationary relations follow a random coefficient autoregressive process, i.e., exhibhits heavy-tailed dynamics, and ...
Andreas Hetland
doaj +1 more source
Stochastic approximation cut algorithm for inference in modularized Bayesian models. [PDF]
Stat Comput, 2021 Liu Y, Goudie RJB.
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Approximation of Jump Diffusions in Finance and Economics [PDF]
In finance and economics the key dynamics are often specified via stochastic differential equations (SDEs) of jump-diffusion type. The class of jump-diffusion SDEs that admits explicit solutions is rather limited.
Nicola Bruti-Liberati, Eckhard Platen
core
Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators
Advanced Materials, EarlyView.Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng +11 more
wiley +1 more source
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation. [PDF]
Front Big Data, 2022 Haugerud H, Sobhie M, Yazidi A.
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