Network Models for Data Science: Theory, Algorithms, and Applications, Alan Julian Izenman
Автор: Bradley Efron , Trevor Hastie Название: Computer Age Statistical Inference, Student Edition ISBN: 1108823416 ISBN-13(EAN): 9781108823418 Издательство: Cambridge Academ Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.
Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong Название: Quantitative Trading ISBN: 0367871815 ISBN-13(EAN): 9780367871819 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part cove
Автор: Hofstad Название: Random Graphs and Complex Networks ISBN: 110717287X ISBN-13(EAN): 9781107172876 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master`s-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience.
Автор: Quarteroni, Alfio Название: Algorithms for a new world ISBN: 3030961656 ISBN-13(EAN): 9783030961657 Издательство: Springer Рейтинг: Цена: 3213.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and artificial intelligence.
Автор: Eric D. Kolaczyk Название: Statistical Analysis of Network Data ISBN: 144192776X ISBN-13(EAN): 9781441927767 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science.
Автор: Eric D. Kolaczyk Название: Statistical Analysis of Network Data ISBN: 038788145X ISBN-13(EAN): 9780387881454 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a treatment of the foundations common to the statistical analysis of network data across the disciplines. This book covers such topics as: network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows.
Автор: Volker Schmidt Название: Stochastic Geometry, Spatial Statistics and Random Fields ISBN: 3319100637 ISBN-13(EAN): 9783319100630 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.g.
Автор: Wai-Ki Ching; Ximin Huang; Michael K. Ng; Tak-Kuen Название: Markov Chains ISBN: 1489997520 ISBN-13(EAN): 9781489997524 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new edition is expanded and updated, complete with end-of-chapter exercises. Outlines the recent development of Markov chain models for modeling queueing systems, manufacturing and re-manufacturing systems, inventory systems and financial risk management.
Автор: Piero Barone; Arnoldo Frigessi; Mauro Piccioni Название: Stochastic Models, Statistical Methods, and Algorithms in Image Analysis ISBN: 0387978100 ISBN-13(EAN): 9780387978109 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction.
Автор: Wai-Ki Ching; Michael K. Ng Название: Markov Chains: Models, Algorithms and Applications ISBN: 1441939865 ISBN-13(EAN): 9781441939869 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
MARKOV CHAINS: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
The book consists of eight chapters. Chapter 1 is a brief introduction to the classical theory on both discrete and continuous time Markov chains. The relationship between Markov chains of finite states and matrix theory is also discussed. Chapter 2 discusses the applications of continuous time Markov chains to model queueing systems and discrete time Markov chains for computing. Chapter 3 studies re-manufacturing systems and presents Markovian models for reverse manufacturing applications. In Chapter 4, Hidden Markov models are applied to classify customers. Chapter 5 discusses the Markov decision process for customer lifetime values. Customer Lifetime Values (CLV) is an important concept and quantity in marketing management. Chapter 6 covers higher-order Markov chain models. Multivariate Markov models are discussed in Chapter 7. It presents a class of multivariate Markov chain models with a lower order of model parameters. Chapter 8 studies higher-order hidden Markov models. It proposes a class of higher-order hidden Markov models with an efficient algorithm for solving the model parameters.
This book is aimed at students, professionals, practitioners, and researchers in applied mathematics, scientific computing, and operational research, who are interested in the formulation and computation of queueing and manufacturing systems.
Автор: Erricos Kontoghiorghes Название: Parallel Algorithms for Linear Models ISBN: 1461370647 ISBN-13(EAN): 9781461370642 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra.
Автор: Tomas Gal; Theodor Stewart; Thomas Hanne Название: Multicriteria Decision Making ISBN: 1461372836 ISBN-13(EAN): 9781461372837 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.
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