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Probability in Electrical Engineering and Computer Science = An Application-D…
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, c…
- Edition
- 1
- ISBN/ISSN
- 9783030499952
- Collation
- XXI, 380 hlm; ill., lamp.,
- Series Title
- -
- Call Number
- -
Core Concepts and Methods in Load Forecasting: With Applications in Distribut…
This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks. From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (includi…
- Edition
- 1
- ISBN/ISSN
- 978-3-031-27852-5
- Collation
- XV, 331
- Series Title
- -
- Call Number
- -
Decision Making under Deep Uncertainty: From Theory to Practice
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and too…
- Edition
- 1
- ISBN/ISSN
- 9783030052522
- Collation
- XIV, 405 hlm,: ill, lamp;
- Series Title
- -
- Call Number
- -
Multivariate Statistical Analysis in the Real and Complex Domains
This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lectu…
- Edition
- 1
- ISBN/ISSN
- 978-3-030-95864-0
- Collation
- -
- Series Title
- -
- Call Number
- XXVII, 921
Stochastic Transport in Upper Ocean Dynamics II
This open access proceedings volume brings selected, peer-reviewed contributions presented at the Third Stochastic Transport in Upper Ocean Dynamics (STUOD) 2022 Workshop, held virtually and in person at the Imperial College London, UK, September 26–29, 2022. The STUOD project is supported by an ERC Synergy Grant, and led by Imperial College London, the National Institute for Research in Comp…
- Edition
- -
- ISBN/ISSN
- 978-3-031-40093-3
- Collation
- XIV, 338
- Series Title
- -
- Call Number
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Elements of Probability and Statistics An Introduction to Probability with d…
This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers d…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-07254-8
- Collation
- 6 b/w illustrations, 27 illustrations in colour
- Series Title
- -
- Call Number
- -
Vector Generalized Linear and Additive Models With an Implementation in R
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be …
- Edition
- -
- ISBN/ISSN
- 978-1-4939-2818-7
- Collation
- -
- Series Title
- -
- Call Number
- -
Large Deviations and Asymptotic Methods in Finance
Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, central limit theorems) give a full picture of the current advances in the application of asymptotic methods in mathematical finance, and thereby provide rigorous solutions to important mathematical and financial issues, such as implied volatility asymptotics, local volatility extrapolation, systemic …
- Edition
- 1
- ISBN/ISSN
- 978-3-319-11605-1
- Collation
- Mathematics
- Series Title
- -
- Call Number
- 510
The Parabolic Anderson Model
This is a comprehensive survey on the research on the parabolic Anderson model – the heat equation with random potential or the random walk in random potential – of the years 1990 – 2015. The investigation of this model requires a combination of tools from probability (large deviations, extreme-value theory, e.g.) and analysis (spectral theory for the Laplace operator with potential, vari…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-33596-4
- Collation
- -
- Series Title
- Pathways in Mathematics
- Call Number
- XI, 192, 4 b/w illustrations
Representation Theory of Finite Monoids
This first text on the subject provides a comprehensive introduction to the representation theory of finite monoids. Carefully worked examples and exercises provide the bells and whistles for graduate accessibility, bringing a broad range of advanced readers to the forefront of research in the area. Highlights of the text include applications to probability theory, symbolic dynamics, and automa…
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- -
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