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An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function estimation is an important part of machine learning, which is becoming increasingly important in quantitative finance. Nonparametric Finance...
Editeur :
Wiley
Parution :
2018-02-28
Collection :
Wiley Series in Probability and Statistics
PDF, ePub
Offre spéciale
-10%
133,95€
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This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly...
Editeur :
Springer
Parution :
2018-02-24
Collection :
The Urban Book Series
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This book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security.This book applies the...
Editeur :
Springer
Parution :
2018-02-18
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The only single-source guide to understanding, using, adapting, and designing state-of-the-art agent-based modelling of tax evasion A computational method for simulating the behavior of individuals or groups and their effects on an entire system, agent-based modeling...
Editeur :
Wiley
Parution :
2018-02-12
Collection :
Wiley Series in Computational and Quantitative Social Science
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Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic growth is one of the knottiest problems faced by industry today. This book introduces a novel approach to using data...
Editeur :
Wiley
Parution :
2018-02-02
Collection :
Wiley Series in Operations Research and Management Science
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Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors — noted experts in the field — show how to generate...
Editeur :
Wiley
Parution :
2018-02-01
PDF, ePub
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This book presents a collection of papers on topics in the field of strategic mine planning, including orebody modeling, mine-planning optimization and the optimization of mining complexes. Elaborating on the state of the art in the field, it describes the latest...
Editeur :
Springer
Parution :
2018-01-17
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Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the...
Editeur :
Wiley
Parution :
2018-01-10
PDF, ePub
Offre spéciale
-9%
77,95€
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A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the...
Editeur :
Wiley
Parution :
2018-01-08
Collection :
Statistics in Practice
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This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years now, standard Brownian motion has been (and still remains) a popular model of randomness used to investigate processes in the...
Editeur :
Springer
Parution :
2018-01-04
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The purpose of this book is to provide a comprehensive discussion of the available results for discrete time branching processes with random control functions.The independence of individuals’ reproduction is a fundamental assumption in the classical branching processes....
Editeur :
Wiley-ISTE
Parution :
2017-12-27
PDF, ePub
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This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. Drawing on research from a world-class team of experts, this collection addresses the challenges facing survey-based data collection today as...
Editeur :
Palgrave Macmillan
Parution :
2017-12-21
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This proceedings book presents the latest research in the fields of information theory, communication system, computer science and signal processing, as well as other related technologies. Collecting selected papers from the 3rd Conference on Signal and Information...
Editeur :
Springer
Parution :
2017-12-16
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This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It combines classic topics such as construction of stochastic processes, associated filtrations, processes with independent increments,...
Editeur :
Wiley-ISTE
Parution :
2017-11-29
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This book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics,...
Editeur :
Apress
Parution :
2017-11-12
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Branching processes are stochastic processes which represent the reproduction of particles, such as individuals within a population, and thereby model demographic stochasticity. In branching processes in random environment (BPREs), additional environmental stochasticity...
Editeur :
Wiley-ISTE
Parution :
2017-11-01
PDF, ePub
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This book provides a rigorous yet accessible introduction to the theory of stochastic processes. A significant part of the book is devoted to the classic theory of stochastic processes. In turn, it also presents proofs of well-known results, sometimes together with...
Editeur :
Birkhäuser
Parution :
2017-10-30
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Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores...
Editeur :
Wiley
Parution :
2017-10-27
PDF, ePub
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Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. It joins the...
Editeur :
OUP Oxford
Parution :
2017-10-20
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Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages...
Editeur :
Wiley
Parution :
2017-10-17
Collection :
Wiley Series in Probability and Statistics
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