Results 51 to 60 of about 40,789 (244)

Multilevel Monte Carlo Variational Inference

open access: yes, 2019
44pages, 10 figures; Journal of Machine Learning Research (JMLR)
Fujisawa, Masahiro, Sato, Issei
openaire   +3 more sources

Multilevel quasi-Monte Carlo for optimization under uncertainty

open access: yesNumerische Mathematik, 2023
This paper considers the problem of optimizing the average tracking error for an elliptic partial differential equation with an uncertain lognormal diffusion coefficient. In particular, the application of the multilevel quasi-Monte Carlo (MLQMC) method to the estimation of the gradient is investigated, with a circulant embedding method used to sample ...
Guth, Philipp A., Van Barel, Andreas
openaire   +3 more sources

Weak Multilevel Path Simulation for Jump-Diffusion Assets

open access: yesپژوهش‌های ریاضی, 2021
This paper, inspired by recent advances in the application of the multilevel Monte-Carlo (MLMC) approach to Lévy driven assets, is based on the valuation of financial derivatives.
Azadeh Ghasemifard   +1 more
doaj  

Central limit theorem for the multilevel Monte Carlo Euler method

open access: yes, 2015
This paper focuses on studying the multilevel Monte Carlo method recently introduced by Giles [Oper. Res. 56 (2008) 607-617] which is significantly more efficient than the classical Monte Carlo one.
Alaya, Mohamed Ben, Kebaier, Ahmed
core   +2 more sources

Multilevel Richardson-Romberg extrapolation [PDF]

open access: yes, 2016
We propose and analyze a Multilevel Richardson-Romberg (MLRR) estimator which combines the higher order bias cancellation of the Multistep Richardson-Romberg method introduced in [Pa07] and the variance control resulting from the stratification ...
Lemaire, Vincent, Pagès, Gilles
core   +3 more sources

Misadventures in Monte Carlo

open access: yesJournal of Sports Analytics, 2019
Estimating probability is the very core of forecasting. Increasing computing power has enabled researchers to design highly intractable probability models, such that model results are identified through the Monte Carlo method of repeated stochastic ...
Richard Demsyn-Jones
doaj   +1 more source

Efficient propagation of uncertainties in manufacturing supply chains: Time buckets, L-leap, and multilevel Monte Carlo methods

open access: yesOperations Research Perspectives, 2020
Uncertainty propagation of large-scale discrete supply chains can be prohibitive when numerous events occur during the simulated period and when discrete-event simulations (DES) are costly.
Nai-Yuan Chiang, Yiqing Lin, Quan Long
doaj   +1 more source

Path-integral Monte Carlo Simulations without the Sign Problem: Multilevel Blocking Approach for Effective Actions [PDF]

open access: yes, 2000
The multilevel blocking algorithm recently proposed as a possible solution to the sign problem in path-integral Monte Carlo simulations has been extended to systems with long-ranged interactions along the Trotter direction. As an application, new results
Egger, R., Mak, C. H., Muehlbacher, L.
core   +2 more sources

ggmcmc: Analysis of MCMC Samples and Bayesian Inference

open access: yesJournal of Statistical Software, 2016
ggmcmc is an R package for analyzing Markov chain Monte Carlo simulations from Bayesian inference. By using a well known example of hierarchical/multilevel modeling, the article reviews the potential uses and options of the package, ranging from ...
Xavier Fernández-i-Marín
doaj   +1 more source

Stochastic Diffusion Process-based Multi-Level Monte Carlo for Predictive Reliability Assessment of Distribution System

open access: yesU.Porto Journal of Engineering, 2021
Reliability assessment of electrical distribution systems is an important criterion to determine system performance in terms of interruptions. Probabilistic assessment methods are usually used in reliability analysis to deal with uncertainties.
Manohar Potli, Chandrasekhar Reddy Atla
doaj   +1 more source

Home - About - Disclaimer - Privacy