<p><i>MB</i><sub><i>R</i></sub> = <i>MP</i><sub><i>W</i></sub> = <i>MC</i><sub><i>V</i></sub> = 100, <i>MC</i><sub><i>A</i></sub> = <i>WB</i><sub><i>A</i></sub>. <i>n</i> ∈ {3, 9, 27}, <i>WB</i><sub><i>A</i></sub> ∈ [0.1, 2], <i>WP</i><sub><i>C</i></sub> ∈ [0, 20], <i>WC</i><sub><i>T</i></sub> = 0.1. ⌈<i>n</i>/2⌉ groups of size 1 and ⌊<i>n</i>/2⌋ of size chosen uniformly at random from [1, ⌊<i>n</i>/2⌋].</p><p>Simulation parameters.</p
<p>(a) Values of <i>p</i><sub><i>t</i></sub> for all <i>α</i> and <i>β</i> combinations; (b) Corresp...
<p>The subscript indicates the number of intervals the range was divided over. The SW parameter spac...
<p>Pseudo-data points sampled at different time points from a stochastic simulation, with the trajec...
<p>Simulation settings for parameters other than <i>a</i><sub>0</sub> and <i>b</i><sub>1</sub>.</p
<p>In each simulation, the frequency 2<i>πf<sub>n</sub></i> for the <i>n</i><sup>th</sup> oscillator...
<p>Average parameter estimates under 12 different simulation datasets <i>A</i><sub>3</sub><i>B</i><s...
<p><i>d</i><sub>0</sub> = 0 for all parameter sets. The initial number of individuals for each simul...
<p>The parameter <i>c</i> is only used in the first scenario, where there is no proliferation. In th...
<p>MC Distribution is the sampling distribution of each parameter used in the Monte Carlo simulation...
<p>(<b>a</b>) The probability difference Δ<i>P</i>(<i>t</i>) computed with the simulated returns at ...
<p>(a) With the condition <i>q</i> = <i>n</i> and after time <i>t</i> = 1000, three groups of the pa...
<p>*<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000971#pcbi.1000971-...
<p>(a) After time <i>t</i> = 1000, five groups of the parameters are , <i>m</i><sub>0</sub> = <i>m</...
<p>Boxplot of the estimates of the parameters in <i>g<sub>1</sub></i>, <b>, </b><i>g<sub>2</sub></i>...
<p>The parameter <i>τ</i> is the time constant for curvature filtering, <i>β</i> is the proportional...
<p>(a) Values of <i>p</i><sub><i>t</i></sub> for all <i>α</i> and <i>β</i> combinations; (b) Corresp...
<p>The subscript indicates the number of intervals the range was divided over. The SW parameter spac...
<p>Pseudo-data points sampled at different time points from a stochastic simulation, with the trajec...
<p>Simulation settings for parameters other than <i>a</i><sub>0</sub> and <i>b</i><sub>1</sub>.</p
<p>In each simulation, the frequency 2<i>πf<sub>n</sub></i> for the <i>n</i><sup>th</sup> oscillator...
<p>Average parameter estimates under 12 different simulation datasets <i>A</i><sub>3</sub><i>B</i><s...
<p><i>d</i><sub>0</sub> = 0 for all parameter sets. The initial number of individuals for each simul...
<p>The parameter <i>c</i> is only used in the first scenario, where there is no proliferation. In th...
<p>MC Distribution is the sampling distribution of each parameter used in the Monte Carlo simulation...
<p>(<b>a</b>) The probability difference Δ<i>P</i>(<i>t</i>) computed with the simulated returns at ...
<p>(a) With the condition <i>q</i> = <i>n</i> and after time <i>t</i> = 1000, three groups of the pa...
<p>*<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000971#pcbi.1000971-...
<p>(a) After time <i>t</i> = 1000, five groups of the parameters are , <i>m</i><sub>0</sub> = <i>m</...
<p>Boxplot of the estimates of the parameters in <i>g<sub>1</sub></i>, <b>, </b><i>g<sub>2</sub></i>...
<p>The parameter <i>τ</i> is the time constant for curvature filtering, <i>β</i> is the proportional...
<p>(a) Values of <i>p</i><sub><i>t</i></sub> for all <i>α</i> and <i>β</i> combinations; (b) Corresp...
<p>The subscript indicates the number of intervals the range was divided over. The SW parameter spac...
<p>Pseudo-data points sampled at different time points from a stochastic simulation, with the trajec...