<p>For simulated trees where all 100 tips are sampled at one point in time, we estimated the growth rate parameter assuming a birth-death model with fixed sampling probability (blue bars) and the coalescent model with a deterministic exponentially growing population (red bars). Here we used and sampling probability (). See <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003913#pcbi.1003913.s015" target="_blank">Figure S15</a> for the plots of other parameter settings.</p
(A) Distribution of S′ = R0(t)S(t)/N and I′ = R0(t)I(t)/N for 1,000 synthetic outbreaks. The color s...
Tree ring analysis allows reconstructing historical growth rates over long periods. Several studies ...
Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicator...
<p>For each plot, 100 trees simulated under the constant rate birth-death (BD) model with incomplete...
<p>For setting (), we modified the birth-death tree simulations to include periods of higher () and...
Quantifying epidemiological dynamics is crucial for understanding and forecasting the spread of an e...
<p>For setting and (), we estimated the parameter from the birth-death trees (A) and the coalesce...
Many population genetic models have been developed for the purpose of inferring population size and ...
<p>Results from simulations showing the proportion of phylogenies for which a temporally-varying spe...
<p>Trees were simulated under three different models: constant-rate pure birth (solid line), decreas...
<p>For setting and (), we modified all 100 birth-death trees (A) and all 100 coalescent trees (B) ...
Tree-ring chronologies have been widely used in studies of tree mortality where variables of recent ...
<p>Trees were simulated under three different models: constant-rate pure birth (solid line), decreas...
<p>a) Comparing the offspring density for the model (red) with an establ...
Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicator...
(A) Distribution of S′ = R0(t)S(t)/N and I′ = R0(t)I(t)/N for 1,000 synthetic outbreaks. The color s...
Tree ring analysis allows reconstructing historical growth rates over long periods. Several studies ...
Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicator...
<p>For each plot, 100 trees simulated under the constant rate birth-death (BD) model with incomplete...
<p>For setting (), we modified the birth-death tree simulations to include periods of higher () and...
Quantifying epidemiological dynamics is crucial for understanding and forecasting the spread of an e...
<p>For setting and (), we estimated the parameter from the birth-death trees (A) and the coalesce...
Many population genetic models have been developed for the purpose of inferring population size and ...
<p>Results from simulations showing the proportion of phylogenies for which a temporally-varying spe...
<p>Trees were simulated under three different models: constant-rate pure birth (solid line), decreas...
<p>For setting and (), we modified all 100 birth-death trees (A) and all 100 coalescent trees (B) ...
Tree-ring chronologies have been widely used in studies of tree mortality where variables of recent ...
<p>Trees were simulated under three different models: constant-rate pure birth (solid line), decreas...
<p>a) Comparing the offspring density for the model (red) with an establ...
Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicator...
(A) Distribution of S′ = R0(t)S(t)/N and I′ = R0(t)I(t)/N for 1,000 synthetic outbreaks. The color s...
Tree ring analysis allows reconstructing historical growth rates over long periods. Several studies ...
Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicator...