Results for the Bayesian model comparison
Bayesian model comparison with un normalised likelihood
... icity results such as those of Whiteley (2013), within this framework to obtain results which are somewhat more broadly applicable: assumptions A2 and A3 are very strong, and are used only because they ...
21
Bayesian model comparison with un-normalised likelihoods
... Our results suggest that improved mixing can help combat the accumulation of bias, which may imply that there may be situations where it is useful to perform many iterations of a kernel at a particular target, ...
20
Bayesian model comparison via sequential Monte Carlo
... given model does not characterize modes that exist only in models of higher dimension; and thus a successful between-model move between these dimensions becomes difficult ...within model simulations, ...
241
Sensitivity of fluvial sediment source apportionment to mixing model assumptions: A Bayesian model comparison
... all model versions estimated subsurface sediment sources to be the major contributor of SPM to the River Blackwater under base flow condi- ...apportionment results proved particularly sensitive to the ...
17
Bayesian model comparison for one-dimensional azimuthal correlations in 200GeV AuAu collisions
... terprets results with concepts from high-energy physics in which the essential phenomenon is dijet production; the other uses quark-gluon plasma and collective flow concepts in which the essential phenomenon is a ...
6
Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models
... perform Bayesian model comparison for discrete undirected decompos- able graphical models, although our method could be adapted to deal also with Directed Acyclic Graph ...of results in terms ...
31
A rapid and scalable method for multilocus species delimitation using Bayesian model comparison and rooted triplets
... The results of re-sampling analysis of Bacillus complex indicate more uncertainty in their delimitation than the rattlesnakes. The reduced number of species observed on the rooted triple consensus may partly ...
43
Bayesian hierarchical model for the prediction of football results
... mixture model. When larger values were chosen, the model was not able to assign the teams to the three components of mixture, with almost all them being associated with the second ...in comparison ...
13
Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison
... Pitt and Shephard, 1999). Yet the multivariate SV models have certain statistical attractions relative to the MARCH models (Harvey et al., 1994). We believe there are several reasons that the multivariate SV models have ...
24
Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison
... Pitt and Shephard, 1999). Yet the multivariate SV models have certain statistical attractions relative to the MARCH models (Harvey et al., 1994). We believe there are several reasons that the multivariate SV models have ...
25
Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison
... and Bayesian Markov Chain Monte Carlo (MCMC) methods (Jacquier, Polson and Rossi, 1994 and Kim et ...sample comparison of various methods in Monte Carlo studies and found that MCMC is one of the most ...
30
Bayesian model comparison for compartmental models with applications in positron emission tomography
... We have demonstrated that the most widely used model does not fit real PET data well and proposed a simple extension using a t-distributed noise model. This allows for the direct estimation of models even ...
27
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
... applying Bayesian techniques to NLP ...for Bayesian models, and it is useful to know what kinds of tasks each does well ...different Bayesian estimators for Hidden Markov Model POS taggers ...
9
A Bayesian DSGE Model Comparison of the Taylor Rule and Nominal GDP Targeting
... theoretical model, are plausible and moreover keep their expected ...Rule model as illustrated by the value of ...previous results for the autocorrelation parameters also demonstrate a sign of the ...
31
Model selection on solid ground: Rigorous comparison of nine ways to evaluate Bayesian model evidence
... hydrologic model (mHM) [Samaniego et ...in model equations represents a typical case where the assump- tions of the analytical solution or the Laplace approximation are not ...theoretical comparison ...
30
A bayesian approach to parameter estimation in simplex regression model: a comparison with beta regression
... the Bayesian estimation can be applied on simplex model regression and, in addition, several simulations were performed to compare Simplex and Beta ...better results when the true model is ...
21
Simulation of Forecasting Performance Comparison of a Hybrid Model Integrated By Binomial Smoothing and Bayesian Model Averaging Techniques
... JPSN-AR model based on binomial smoothing using the log difference series of the chemical platform ...The results also revealed that the hybrid method basedon BMAtechnique can relieve the over-fitting ...
13
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
... the model output includes a realization of this ...the model, it will sometimes be possible to rewrite the model so that it outputs the latent underlying ...
34
Paired Comparison Analysis of the van Baaren Model Using Bayesian Approach with Noninformative Prior
... paired comparison technique with order effect testing as a tool in the field of sound quality ...Paired comparison methodology is adopted to find out which quality is considered to be most the important ...
12
BAYESIAN ANALYSIS FOR THE PAIRED COMPARISON MODEL WITH ORDER EFFECTS (USING NON-INFORMATIVE PRIORS)
... Distribution Bayesian analysis is a statistical procedure, which endeavors to estimate parameters of an under lying distribution based on the observed ...the Bayesian approach in an explained ...
9