We define the Sampled Moran Genealogy Process, a continuous-time Markov process on the space of genealogies with the demography of the classical Moran process, sampled through time. To do so, we begin by defining the Moran Genealogy Process using a novel representation. We then extend this process to include sampling through time. We derive exact conditional and marginal probability distributions for the sampled process under a stationarity assumption, and an exact expression for the likelihood of any sequence of genealogies it generates. This leads to some interesting observations pertinent to existing phylodynamic methods in the literature. Throughout, our proofs are original and make use of strictly forward-in-time calculations and are exact for all population sizes and sampling processes.
翻译:我们定义了莫伦基因学样本过程,这是一个关于古典莫兰过程人口统计的基因层空间的连续时间马科夫过程,经过时间取样。为了这样做,我们首先使用新的表述来定义莫伦基因学过程。然后我们扩展这个过程以包括时间取样。我们根据一个固定的假设,得出抽样过程的精确的有条件和边际概率分布,并准确表达其产生基因组序列的可能性。这导致与文献中现有的植物动力学方法有关的一些有趣的观察。我们的证据是原始的,使用了严格的前期计算,对所有人口规模和取样过程都是精确的。