Perception as Bayesian Inference, Knill

Автор: Botha Rudolf, Everaert Martin
Название: The Evolutionary Emergence of Language: Evidence and Inference
ISBN: 0199654859 ISBN-13(EAN): 9780199654857
Издательство: Oxford Academ
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Описание: Leading primatologists, cognitive scientists, anthropologists, and linguists consider how language evolution can be understood by means of inference from the study of linked or analogous phenomena in language, animal behaviour, genetics, neurology, culture, and biology.

Автор: O`Brien
Название: Inferences during Reading
ISBN: 1107049792 ISBN-13(EAN): 9781107049796
Издательство: Cambridge Academ
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Описание: Inferencing is one of the most important processes necessary for successful comprehension during reading. Converging recent research to provide a broad and in-depth theoretical account of inferencing, this volume is a valuable resource for advanced courses on reading comprehension and for practitioners seeking to understand the processes that underlie inferencing.

Автор: He
Название: Statistical Causal Inferences and Their Applications in Public Health Research
ISBN: 3319412574 ISBN-13(EAN): 9783319412573
Издательство: Springer
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Описание: This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference.