Results 31 to 40 of about 499,810 (279)
A consensus-based distributed calibration algorithm for sensor networks [PDF]
Serbian Journal of Electrical Engineering, 2016 In this paper a novel distributed algorithm for blind macro-calibration in sensor networks based on consensus is proposed. The algorithm is formulated as a set of gradient-type recursions for estimating parameters of sensor calibration functions,
Stanković Miloš S. +2 more
doaj +1 more source
Stochastic Approximation and Modern Model-Based Designs for Dose-Finding Clinical Trials
, 2010 In 1951 Robbins and Monro published the seminal article on stochastic approximation and made a specific reference to its application to the "estimation of a quantal using response, nonresponse data." Since the 1990s, statistical methodology for dose ...
Cheung, Ying Kuen
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Open Mathematics, 2019 This paper aims to present a new pathwise approximation method, which gives approximate solutions of order 32$\begin{array}{} \displaystyle \frac{3}{2} \end{array}$ for stochastic differential equations (SDEs) driven by multidimensional Brownian motions.
Alhojilan Yazid
doaj +1 more source
Simulation of stochastic network dynamics via entropic matching
, 2013 The simulation of complex stochastic network dynamics arising, for instance, from models of coupled biomolecular processes remains computationally challenging.
Enßlin, Torsten A. +3 more
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Solving the General Fuzzy Random Bilevel Programming Problem Through
IEEE Access, 2018 This paper addresses the general fuzzy random bilevel programming problem in which not only both objective functions, but also the constraints contain fuzzy random variable coefficients.
Aihong Ren
doaj +1 more source
Control problem for the impulse process under stochastic optimization procedure and Levy conditions
Математичні Студії, 2021 A stochastic approximation procedure and a limit generator of the original problem are constructed for a system of stochastic differential equations with Markov switching and impulse perturbation under Levy approximation conditions with control, which is
Ya. M. Chabanyuk +2 more
doaj +1 more source
Multi-level stochastic approximation algorithms [PDF]
, 2014 This paper studies multi-level stochastic approximation algorithms. Our aim is to extend the scope of the multilevel Monte Carlo method recently introduced by Giles (Giles 2008) to the framework of stochastic optimization by means of stochastic ...
Frikha, Noufel
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LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
, 2015 We introduce a discretization/approximation scheme for reflected stochastic partial differential equations driven by space-time white noise through systems of reflecting stochastic differential equations.
Zhang, Tusheng
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