Search Results - subject:"Bayesian posterior"

Estimating the competitive storage model with stochastic trends in commodity prices

Osmundsen, Kjartan Kloster; Kleppe, Tore Selland; … - In: Econometrics 9 (2021) 4, pp. 1-24

specifications of the storage model. For a Bayesian posterior analysis of the SSM, which is nonlinear in the latent states, we used a …

Persistent link: https://www.econbiz.de/10012705256

Estimating the competitive storage model with stochastic trends in commodity prices

Osmundsen, Kjartan Kloster; Kleppe, Tore Selland; … - In: Econometrics : open access journal 9 (2021) 4, pp. 1-24

specifications of the storage model. For a Bayesian posterior analysis of the SSM, which is nonlinear in the latent states, we used a …

Persistent link: https://www.econbiz.de/10012697516

Improvement of C5.0 algorithm using internet of things with Bayesian principles for food traceability systems

Souprayen, Balamurugan; Ayyanar, Ayyasamy; Joseph, K. Suresh - In: Modern supply chain research and applications 3 (2021) 1, pp. 2-23

Purpose: The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss and reduced system complexity. Design/methodology/approach: The proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The...

Persistent link: https://www.econbiz.de/10012608582

Improvement of C5.0 algorithm using internet of things with Bayesian principles for food traceability systems

Souprayen, Balamurugan; Ayyanar, Ayyasamy; Joseph, K. Suresh - In: Modern Supply Chain Research and Applications 3 (2021) 1, pp. 2-23

Persistent link: https://www.econbiz.de/10015340005

A complexity based model for quantifying forensic evidential probabilities

Overill, RE; Silomon, JAM; Chow, KP - 2010

An operational complexity model (OCM) is proposed to enable the complexity of both the cognitive and the computational components of a process to be determined. From the complexity of formation of a set of traces via a specified route a measure of the probability of that route can be determined....

Persistent link: https://www.econbiz.de/10009471480

Bayesian Fuzzy Regression Analysis and Model Selection: Theory and Evidence

Feng, Hui; Giles, David E. - Department of Economics, University of Victoria - 2009

, we use a natural conjugate prior for the parameters, and we find that the Bayesian Posterior Odds provide a very powerful …In this study we suggest a Bayesian approach to fuzzy clustering analysis – the Bayesian fuzzy regression. Bayesian … Posterior Odds analysis is employed to select the correct number of clusters for the fuzzy regression analysis. In this study …

Persistent link: https://www.econbiz.de/10005669075

To bridge, to warp or to wrap? A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihoods

Ardia, David; Hoogerheide, Lennart; Dijk, Herman K. van - 2009

Persistent link: https://www.econbiz.de/10003813789

To bridge, to warp or to wrap? : a comparative study of Monte Carlo methods for efficient evaluation of marginal likelihoods

Ardia, David; Hoogerheide, Lennart; Dijk, Herman K. van - 2009

This discussion paper led to a publication in 'Computational Statistics & Data Analysis' 56(11), pp. 3398-1414.Important choices for efficient and accurate evaluation of marginal likelihoods by means of Monte Carlo simulation methods are studied for the case of highly non-elliptical posterior...

Persistent link: https://www.econbiz.de/10011377602

Bayesian Fuzzy Regression Analysis and Model Selection: Theory and Evidence

Feng, Hui; Giles, David E. - Department of Economics, University of Victoria - 2007

Persistent link: https://www.econbiz.de/10005800930

Improving MCMC Using Efficient Importance Sampling

Liesenfeld, Roman; Richard, Jean-François - 2006

integrated MCMC-EIS approach is illustrated with simple univariate integration problems and with the Bayesian posterior analysis …

Persistent link: https://www.econbiz.de/10010296258