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Real Options Analysis

, real option models reflect stochastic underlying processes and flexibility. In this book, the authors present topical research in the study;

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Bayesian Analysis of Stochastic Process Models

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified;

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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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Stochastic Benchmarking

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA;

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Stochastic Benchmarking

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

stochastic maximum principle. Provides comprehensive theory of matrices, real, complex and functional analysisProvides practical;

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Flowgraph Models For Multistate Time-To-Event Data

processes without prior knowledge of stochastic processes----opening the door to interesting applications in survival analysis and reliability as;

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New Trends In Stochastic Analysis And Related Topics

analysis and related fields. Stochastic analysis has been profoundly developed as a vital fundamental research area in mathematics in recent;

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Applied Stochastic Control of Jump Diffusions

new section on optimal stopping with delayed information. Basic knowledge of stochastic analysis, measure theory and partial differential;

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Integrated Approach to Stochastic Analysis

This book on stochastic analysis is a valuable guide for mathematicians, economists, and students and researchers in the field of finance;

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Integrated Approach to Stochastic Analysis

This book on stochastic analysis is a valuable guide for mathematicians, economists, and students and researchers in the field of finance;

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Real And Stochastic Analysis

This book presents the current status and research trends in Stochastic Analysis. Several new and emerging research areas are described;

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Modeling and Analysis of Stochastic Systems

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the;

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Modeling and Analysis of Stochastic Systems

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the;

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Econometric Analysis of Stochastic Dominance

This book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

modelled by non-Brownian stochastic processes in the complex real-world environment. Statistical observables are widely used for anomalous and;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic;

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Mathematical Analysis Of Random Phenomena - Proceedings Of The International Conference

equations, stochastic geometry, and nonlinear partial differential equations.While modern stochastic analysis may appear to be an abstract mixture;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Discrete Stochastic Processes

develop the understanding and intuition necessary to apply stochastic process theory in engineering, science and operations research. The book;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part;

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Portfolio Optimization with Different Information Flow

stochastic calculus and convex analysis, optimal stochastic control and backward stochastic differential equations. This theoretical and numerical;

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Recent Development in Stochastic Dynamics and Stochastic Analysis

Stochastic dynamical systems and stochastic analysis are of great interests not only to mathematicians but also to scientists in other;

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