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Bringing Bayesian Models to Life, Mevin B. Hooten, Trevor Hefley


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Автор: Mevin B. Hooten, Trevor Hefley
Название:  Bringing Bayesian Models to Life
ISBN: 9780367198480
Издательство: Taylor&Francis
Классификация:





ISBN-10: 0367198487
Обложка/Формат: Hardcover
Страницы: 352
Вес: 1.02 кг.
Дата издания: 22.07.2019
Серия: Chapman & hall/crc applied environmental statistics
Язык: English
Иллюстрации: 9 tables, black and white; 76 illustrations, black and white
Размер: 162 x 242 x 38
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Animal ecology, MATHEMATICS / Probability & Statistics / General,NATURE / Ecology,SCIENCE / Life Sciences / Zoology / General
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Поставляется из: Европейский союз
Описание: This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations.

Benefits of Bayesian Network Models

Автор: Weber
Название: Benefits of Bayesian Network Models
ISBN: 184821992X ISBN-13(EAN): 9781848219922
Издательство: Wiley
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Цена: 146730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry.

Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life

Автор: Rogato Alessandra, Zazzu Valeria, Guarracino Mario
Название: Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life
ISBN: 3319833588 ISBN-13(EAN): 9783319833583
Издательство: Springer
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Цена: 46570.00 T
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Описание: This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations. The book is divided into three distinct parts: dynamics of genomes and genetic variation, dynamics of motifs, and dynamics of biological networks. Chapters included in dynamics of genomes and genetic variation analyze the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and those that govern genome dynamics. The dynamics of motifs portion of the volume provides an overview of current methods for motif searching in DNA, RNA and proteins, a key process to discover emergent properties of cells, tissues, and organisms. The part devoted to the dynamics of biological networks covers networks aptly discusses networks in complex biological functions and activities that interpret processes in cells. Moreover, chapters in this section examine several mathematical models and algorithms available for integration, analysis, and characterization. Once life scientists began to produce experimental data at an unprecedented pace, it become clear that mathematical models were necessary to interpret data, to structure information with the aim to unveil biological mechanisms, discover results, and make predictions. The second annual “Bringing Maths to Life” workshop held in Naples, Italy October 2015, enabled a bi-directional flow of ideas from and international group of mathematicians and biologists. The venue allowed mathematicians to introduce novel algorithms, methods, and software that may be useful to model aspects of life science, and life scientists posed new challenges for mathematicians.

Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life

Автор: Rogata, Zazzu
Название: Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life
ISBN: 3319457225 ISBN-13(EAN): 9783319457222
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations. The book is divided into three distinct parts: dynamics of genomes and genetic variation, dynamics of motifs, and dynamics of biological networks. Chapters included in dynamics of genomes and genetic variation analyze the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and those that govern genome dynamics. The dynamics of motifs portion of the volume provides an overview of current methods for motif searching in DNA, RNA and proteins, a key process to discover emergent properties of cells, tissues, and organisms. The part devoted to the dynamics of biological networks covers networks aptly discusses networks in complex biological functions and activities that interpret processes in cells. Moreover, chapters in this section examine several mathematical models and algorithms available for integration, analysis, and characterization. Once life scientists began to produce experimental data at an unprecedented pace, it become clear that mathematical models were necessary to interpret data, to structure information with the aim to unveil biological mechanisms, discover results, and make predictions. The second annual “Bringing Maths to Life” workshop held in Naples, Italy October 2015, enabled a bi-directional flow of ideas from and international group of mathematicians and biologists. The venue allowed mathematicians to introduce novel algorithms, methods, and software that may be useful to model aspects of life science, and life scientists posed new challenges for mathematicians.


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