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» Performance modeling using Monte Carlo simulation
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CSDA
2011
14 years 10 months ago
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the biascorrected bootst...
Jae H. Kim, Iain Fraser, Rob J. Hyndman
143
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
134
Voted
IEEEARES
2006
IEEE
15 years 9 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
128
Voted
HPCC
2005
Springer
15 years 9 months ago
A Multi-scale Computational Approach for Nanoparticle Growth in Combustion Environments
In this paper a new and powerful computer simulation capability for the characterization of carbonaceous nanoparticle assemblies across multiple, connected scales, starting from th...
Angela Violi, Gregory A. Voth
139
Voted
ICRA
2003
IEEE
158views Robotics» more  ICRA 2003»
15 years 8 months ago
Probabilistic cooperative localization and mapping in practice
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...
Ioannis M. Rekleitis, Gregory Dudek, Evangelos E. ...