<p>Log likelihoods are quoted relative to that of the saturated model. County-level saturated model log likelihood = −975239008, State-level saturated model log likelihood = −467836121.</p
<p>Discrete Γ model negative log-likelihoods for the control region data are shown on the left axis,...
Covariates in the models include: distance between origin and destination, total population size (or...
The goodness of fit for the US county-level distributions of the numbers of daily confirmed COVID-19...
<p>Log likelihood values quoted relative to that of the saturated model. Saturated model log likelih...
<p>Model statistics for Bayesian spatio–temporal covariate models evaluating county–level RMSF preva...
<p>LL = log likelihood (higher is better). MSE = mean squared error (lower is better). The best valu...
Model log likelihood for each combination of parameters (W, θ) for each participant. Colours represe...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
Models of contingency tables are based on the counts by category. In a two-way table, models can dep...
Performance of county-level models using the baseline (“Restricted”) predictor set, plotted against ...
Comparisons of parametrized model runs on a higher hierarchical level with the aggregated case numbe...
The goodness of fit for the US county-level distributions of the numbers of cumulative confirmed COV...
<p>(A) Population prediction versus observed concentration. (B) Individual prediction versus observe...
<p>The best likelihood is for the model that incorporates seasonality, temperature, two regions and ...
<p>Estimated log likelihood, fit statistics, selected summary measures, and a likelihood ratio test ...
<p>Discrete Γ model negative log-likelihoods for the control region data are shown on the left axis,...
Covariates in the models include: distance between origin and destination, total population size (or...
The goodness of fit for the US county-level distributions of the numbers of daily confirmed COVID-19...
<p>Log likelihood values quoted relative to that of the saturated model. Saturated model log likelih...
<p>Model statistics for Bayesian spatio–temporal covariate models evaluating county–level RMSF preva...
<p>LL = log likelihood (higher is better). MSE = mean squared error (lower is better). The best valu...
Model log likelihood for each combination of parameters (W, θ) for each participant. Colours represe...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
Models of contingency tables are based on the counts by category. In a two-way table, models can dep...
Performance of county-level models using the baseline (“Restricted”) predictor set, plotted against ...
Comparisons of parametrized model runs on a higher hierarchical level with the aggregated case numbe...
The goodness of fit for the US county-level distributions of the numbers of cumulative confirmed COV...
<p>(A) Population prediction versus observed concentration. (B) Individual prediction versus observe...
<p>The best likelihood is for the model that incorporates seasonality, temperature, two regions and ...
<p>Estimated log likelihood, fit statistics, selected summary measures, and a likelihood ratio test ...
<p>Discrete Γ model negative log-likelihoods for the control region data are shown on the left axis,...
Covariates in the models include: distance between origin and destination, total population size (or...
The goodness of fit for the US county-level distributions of the numbers of daily confirmed COVID-19...
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