Wheeler Ward C
Division of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024-5192, USA.
Cladistics. 2006 Apr;22(2):157-170. doi: 10.1111/j.1096-0031.2006.00096.x.
The use of likelihood as an optimality criterion is explored in the context of dynamic homology. Simple models and procedures are described to allow the analysis of large variable length sequence data sets, alone and in combination with qualitative information (such as morphology). Several approaches are discussed that have different likelihood interpretations in terms of maximum parsimony likelihood and maximum average likelihood. Implementation is discussed and an example in arthropod systematics presented. Topological congruence comparisons with parsimony are made.
在动态同源性的背景下探索了将似然性用作最优性标准的情况。描述了简单的模型和程序，以允许单独或结合定性信息（如形态学）分析大型可变长度序列数据集。讨论了几种在最大简约似然性和最大平均似然性方面具有不同似然性解释的方法。讨论了实现方法，并给出了节肢动物系统学的一个例子。还与简约法进行了拓扑一致性比较。
