Capturing Connectivity and Causality in Complex Industrial Processes, Fan Yang; Ping Duan; Sirish L. Shah; Tongwen Chen

Автор: Ahmed
Название: Evidence, Decision and Causality
ISBN: 1316641546 ISBN-13(EAN): 9781316641545
Издательство: Cambridge Academ
Рейтинг:
Цена: 5069.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Aimed at philosophers and those with an interest in rational choice. Economic theory, quantum mechanics and voting all seem to illustrate a deep puzzle about the practical role of causality. This book advances the debate, introduces many new examples and assesses the practical relevance of the philosophical discussion.

Автор: Viktor K. Jirsa; A.R. McIntosh
Название: Handbook of Brain Connectivity
ISBN: 3642420877 ISBN-13(EAN): 9783642420870
Издательство: Springer
Рейтинг:
Цена: 28732.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. The second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain.

Автор: Berzuini C
Название: Causality: Statistical Perspectives and Applications
ISBN: 0470665564 ISBN-13(EAN): 9780470665565
Издательство: Wiley
Рейтинг:
Цена: 10763.00 р.
Наличие на складе: Поставка под заказ.

Описание: Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum.

Автор: Judea Pearl
Название: Causality: A Primer
ISBN: 1119186846 ISBN-13(EAN): 9781119186847
Издательство: Wiley
Рейтинг:
Цена: 5061.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality.