Bayesian Evolutionary Analysis with BEAST, Drummond
Автор: Darwin Charles, Secord James A. Название: Evolutionary Writings: Including the Autobiographies ISBN: 0199580146 ISBN-13(EAN): 9780199580149 Издательство: Oxford Academ Рейтинг: Цена: 1582.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume brings together key chapters from Darwin`s most important books, including the Journal of Researches on the Beagle voyage (1845), the Origin of Species (1859), the Descent of Man (1871), and the full text of his delightful autobiography. They are accompanied by responses from 19th-century readers from around the world.
Автор: Taylor Adrian Название: Evolutionary Biomechanics ISBN: 0198566387 ISBN-13(EAN): 9780198566380 Издательство: Oxford Academ Рейтинг: Цена: 6651.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent research in biomechanics is increasingly revealing a set of special cases where universal physical laws constrain the trajectories and, more controversially, even the endpoints of the evolutionary process. For the first time this book brings together a broad range of examples from the latest research in evolutionary biomechanics to examine this phenomenon.
Автор: Wagner Geunter P., Wagner Gunter P. Название: Homology, Genes, and Evolutionary Innovation ISBN: 0691156468 ISBN-13(EAN): 9780691156460 Издательство: Wiley Рейтинг: Цена: 8237.00 р. Наличие на складе: Поставка под заказ.
Описание: Homology - a similar trait shared by different species and derived from common ancestry, such as a seal`s fin and a bird`s wing - is one of the most fundamental yet challenging concepts in evolutionary biology. This book provides a mechanistically based theory of what homology is and how it arises in evolution.
Автор: Muller, P., Quintana, F.A., Jara, A., Hanson, T. Название: Bayesian Nonparametric Data Analysis ISBN: 3319189670 ISBN-13(EAN): 9783319189673 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.
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