<p>(a) Approximate log-likelihoods, <i>ℓ</i>(<b>y</b><sub>1:<i>n</i></sub>|<i>θ</i><sub>*</sub>) and <i>ℓ</i>(<b>y</b><sub>1:<i>n</i></sub>|<i>θ</i>′) versus time <i>n</i>. (b) Zoom of plot (a) for a shorter time interval, showing that the perturbed parameter <i>θ</i>′ yields a higher likelihood for the observation sequence generated in this computer experiment. (c) The likelihood ratio versus time <i>n</i>, showing that <i>ℓ</i><sup><i>N</i></sup>(<b>y</b><sub>1:<i>n</i></sub>|<i>θ</i>′) > <i>ℓ</i><sup><i>N</i></sup>(<b>y</b><sub>1:<i>n</i></sub>|<i>θ</i><sub>*</sub>).</p
<p>After fitting, we see (A) the removal of the spike-related kernel through the difference between ...
<p>In a) and b), we show estimates of the log likelihood for different values of λ and <i>σ</i> base...
<p>(<b>a</b>) The nodes, leaves and total accuracy of states reconstruction for simulations with var...
<p>Spatiotemporal models with 10 cells and a varying number of concatenated time steps. The log-like...
<p>Likelihood of the hidden Markov model plotted as a function of the total number of modes. The rea...
<p>The likelihood obtained from the first set of 50 stochastic simulation; the likelihood of the s...
<p>The average relative percent error in estimation of A<sub>1</sub> across different parameter valu...
<p>The example numbers in this figure correspond to the examples described in Figs. <a href="http://...
<p>On top right panel, all possible configurations of tables (<i>y</i><sub>1</sub> and <i>y</i><sub>...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
The likelihood function for a model parameterised by (a vector in a p-dimensional space ) given obs...
<p>Log-likelihood of the inferred models with d steps, for each condition, from measurements during ...
<p>Iteration steps are the Δ<i>T</i>’s along the trajectories used to make the point estimate of our...
<p>(<i>a</i>) A human PPI network with <i>n</i> = 11,524 nodes and average degree of 9.0. The dashed...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
<p>After fitting, we see (A) the removal of the spike-related kernel through the difference between ...
<p>In a) and b), we show estimates of the log likelihood for different values of λ and <i>σ</i> base...
<p>(<b>a</b>) The nodes, leaves and total accuracy of states reconstruction for simulations with var...
<p>Spatiotemporal models with 10 cells and a varying number of concatenated time steps. The log-like...
<p>Likelihood of the hidden Markov model plotted as a function of the total number of modes. The rea...
<p>The likelihood obtained from the first set of 50 stochastic simulation; the likelihood of the s...
<p>The average relative percent error in estimation of A<sub>1</sub> across different parameter valu...
<p>The example numbers in this figure correspond to the examples described in Figs. <a href="http://...
<p>On top right panel, all possible configurations of tables (<i>y</i><sub>1</sub> and <i>y</i><sub>...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
The likelihood function for a model parameterised by (a vector in a p-dimensional space ) given obs...
<p>Log-likelihood of the inferred models with d steps, for each condition, from measurements during ...
<p>Iteration steps are the Δ<i>T</i>’s along the trajectories used to make the point estimate of our...
<p>(<i>a</i>) A human PPI network with <i>n</i> = 11,524 nodes and average degree of 9.0. The dashed...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
<p>After fitting, we see (A) the removal of the spike-related kernel through the difference between ...
<p>In a) and b), we show estimates of the log likelihood for different values of λ and <i>σ</i> base...
<p>(<b>a</b>) The nodes, leaves and total accuracy of states reconstruction for simulations with var...