Bayesian inference of a dynamic vegetation model for grassland

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Table 3 presents the results for these cases with an a priori spectral index equal to the real value α = 1.1 (case IIIa), and without any a priori value on any parameter (case IIIb)

Comparison between MLE (CATS) and a Bayesian Monte Carlo Markov Chain method, which estimates simultaneously all parameters and their uncertainties.. Noise in GPS Position Time

– MCMC yields Up component velocity uncertainties which are around [1.7,4.6] times larger than from CATS, and within the millimetre per year range

Key words: Curve Resolution, Factor analysis, Bayesian estimation, non-negativity, statistical independence, sparsity, Gamma distribution, Markov Chain Monte Carlo (MCMC)..

In summary, for array-RQMC, we have the follow- ing types of d-dimensional RQMC point sets for P n : a d + 1-dimensional Korobov lattice rule with its first coordinate skipped,

Mais, c’est l’édification de la ville qui, deux siècles plus tard, révèle la fragilité du milieu.. En effet, la fin du XVIII e siècle marque une rupture,

Keywords Bayesian statistics · Density dependence · Distance sampling · External covariates · Hierarchical modeling · Line transect · Mark-recapture · Random effects · Reversible