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» Approximate Learning of Dynamic Models
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QEST
2007
IEEE
16 years 17 days ago
Automated Analysis of Simulation Traces - Separating Progress from Repetitive Behavior
Among the many stages of a simulation study, debugging a simulation model is the one that is hardly reported on but that may consume a considerable amount of time and effort. In t...
Peter Kemper, Carsten Tepper
CSDA
2007
126views more  CSDA 2007»
15 years 6 months ago
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Yongqiang Tang, Subhashis Ghosal
BMCBI
2010
174views more  BMCBI 2010»
15 years 6 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
NPL
2008
130views more  NPL 2008»
15 years 6 months ago
Adaptive Inverse Control of Excitation System with Actuator Uncertainty
: - This paper addresses an inverse controller design for excitation system with changing parameters and nonsmooth nonlinearities in the actuator. The existence of such nonlinearit...
Xiaofang Yuan, Yaonan Wang, Liang-Hong Wu
HYBRID
2007
Springer
16 years 14 days ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...