Sentence examples for lowest effective sample from inspiring English sources

The lowest effective sample size (ESS) for any parameter estimate was 802.3378, suggesting that we had run the analyses sufficiently long to enable meaningful estimates from the posterior sampling.

A burn-in period of 500,000 steps was used and results were recorded every hour for >20,000,000 steps, so that the lowest effective sample sizes (ESS) for each parameter were 500 [ 32].

Estimates of θ and M for runs using the same three sub-sampled data-sets were consistent, trace plots generated by L AMARC using T RACER[ 35] indicated that log-likelihood values had reached stationarity following burnin, and the lowest effective sample size found during any run was 388.

a Data for HL, non-gonadal germ cells and thyroid cancers and lip/oral in females were not reported due to low effective sample size less than 95% CI, 95% confidence interval.

Because two out of the five runs converged onto suboptimal likelihoods and a third run yielded low effective sample sizes (ESS) for a subset of parameters despite convergence of the likelihood, the posterior distribution of trees was summarized from the MCMC output of the remaining two runs using the highest burn-in value obtained across the two runs in question.

I initially evaluated phylogenies with an MCMC chain length of 10,000,000 states, but increased chain length to as high as 50,000,000 for clades with low ESS (effective sample sizes) of resulting tree parameters.

The coal-limestone mixture samples were tested at two shock Mach numbers, namely Ms = 1.24 and 1.57, with the 75% limestone sample having the highest and the 25% limestone sample having the lowest effective dust dispersion effects.

Low participation rates reduce effective sample size, statistical power and can increase risk for selection bias.

Notably, the analysis of the *BEAST run log file showed near-critically low posterior and prior effective sample sizes (< 120).

Initial permeabilities of the core samples at the lowest effective pressure (about 1 MPa) ranged from 3 × 10−16 to 2 × 10−17 m2, and in almost all samples, permeabilities decreased by two orders of magnitude at 40 MPa of effective pressure (Figure 4a).

This, along with the high effective sample size and low autocorrelation estimate, suggested the Markov chains reached convergence after a sufficiently long burn-in period and were sampled from the appropriate likelihood space.