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Signal Processing, ISSN 0165-1684, 12/2017, Volume 141, pp. 125 - 136
Volterra systems have had significant success in modelling nonlinear systems in various real-world applications. However, it is generally assumed that the... 
Nonlinearity degree estimation | Nonlinear channel estimation | Volterra system identification | Reversible jump MCMC | MODELS | FILTERS | BLIND IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Markov processes | Monte Carlo method | Algorithms | Analysis
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 07/2013, Volume 22, Issue 3, pp. 623 - 648
We develop a methodology to efficiently implement the reversible jump Markov chain Monte Carlo (RJ-MCMC) algorithms of Green, applicable for example to model... 
Gaussian mixture models | Pseudo-marginal MCMC | Bayesian model selection/determination | Poisson change point problem | ICMS Highlights: Advances in MCMC | DISTRIBUTIONS | FREE-ENERGY DIFFERENCES | STATISTICS & PROBABILITY
Journal Article
Journal of the Indian Society of Remote Sensing, ISSN 0255-660X, 9/2013, Volume 41, Issue 3, pp. 509 - 521
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2006, Volume 4292, pp. 405 - 416
Journal Article
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 05/2011, pp. 3960 - 3963
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... 
Bayesian segmentation | Reversible Jump MCMC | Bayesian methods | Biological system modeling | Computational modeling | Non Intrusive Load Monitoring | Time series analysis | Markov processes | Polynomials | Smooth transition regression | Transient analysis
Conference Proceeding
Statistical Papers, ISSN 0932-5026, 2018, pp. 1 - 34
The smooth transition autoregressive (STAR)(k)–GARCH(l, m) model is a non-linear time series model that is able to account for changes in both regime and... 
Regime switching volatility | Non-linear time series models | Metropolis–Hastings algorithm | Gibbs sampler algorithm | Reversible jump MCMC algorithm | Generalised ARCH (GARCH) | Hydrology | Algorithms | Parameters | Autoregressive models | Computer simulation | Volatility | Time series | Statistical inference | Bayesian analysis | Hydrologic models
Journal Article
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149, 03/2010, pp. 1222 - 1225
Conference Proceeding
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 08/2017, Volume 46, Issue 7, pp. 5440 - 5461
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 2002, Volume 40, Issue 3, pp. 633 - 653
Journal Article
European Signal Processing Conference, ISSN 2219-5491, 11/2014, pp. 1327 - 1331
Conference Proceeding
Journal of University of Science and Technology of China, ISSN 0253-2778, 2011, Volume 41, Issue 9, pp. 764 - 772
Journal Article
IEEE Transactions on Plasma Science, ISSN 0093-3813, 07/2016, Volume 44, Issue 7, pp. 1083 - 1093
Channel modeling of a plasma sheath for hypersonic reentry vehicles is important in addressing reentry communication blackout issues. Given that the... 
Hidden Markov models | Channel estimation | Dynamic plasma sheath | Markov channel | Markov processes | Attenuation | Plasma sheaths | Vehicle dynamics | reversible-jump Markov chain Monte Carlo algorithm (RJ-MCMC) | FLUCTUATION | DENSITY | ELECTROMAGNETIC-WAVE | PHYSICS, FLUIDS & PLASMAS | TURBULENT | PROPAGATION | FLOW | Monte Carlo method | Usage | Research
Journal Article
Statistical Methods & Applications, ISSN 1618-2510, 12/2004, Volume 13, Issue 3, pp. 259 - 273
Journal Article
Signal Processing, ISSN 0165-1684, 2011, Volume 91, Issue 8, pp. 1920 - 1932
Journal Article
2006 International Conference on Probabilistic Methods Applied to Power Systems, 06/2006, pp. 1 - 7
Conference Proceeding
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