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Showing 1 to 4 of 4 for “"MCMC Simulation"”.
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Predicting enrollment in a metropolitan university in southeast Tennessee
… variables. Using Markov Chain Monte Carlo (MCMC) simulation allowed for a more instinctive way to derive statistical methods by enabling probability estimation for hypotheses. The first step, linear regression, demonstrated there were specific sets of predictor variables for institutional …
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Bayesian risk management : "Frequency does not make you smarter"
… statistics with its Markov Chain Monte Carlo (MCMC) simulation algorithm. It provides a full illustration of data-induced uncertainty beyond classical point-estimates. We calibrate twelve different stochastic processes to four years of CO2 price data. Besides, we calculate derived risk measures …
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Signal separation of musical instruments: simulation-based methods for musical signal decomposition and transcription
… is of variable dimension and so reversible jump MCMC simulation techniques are employed for the parameter estimation task. The extension of the model to time-varying signals with high posterior correlations between model parameters is described. The parameters and hyperparameters of several …
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Evaluating Cost Effectiveness of Precision Cancer Medicine Approaches and The Economic Burden of Colorectal Cancer
… modelling (PSM) and Markov chain Monte Carlo (MCMC) simulation, IC therapy did prove to be the dominant therapy when compared to CC therapy, with a cost reduction of £33,679 (by PSM) or £29,708 (by MCMC) per patient. In addition to the cost savings realised by IC therapy, the intermittent …