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Uncertainty Analysis with High Dimensional Dependence Modelling

well as computer programs and data sets to support the examples. Uncertainty Analysis with High Dimensional Dependence Modelling offers a;

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Uncertainty Modelling and Quality Control for Spatial Data

Data quality in multi-dimensional integration Research challenges on data quality in the integration and analysis of data from multiple;

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Uncertainty Modelling and Quality Control for Spatial Data

Data quality in multi-dimensional integration Research challenges on data quality in the integration and analysis of data from multiple;

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Quantification of Uncertainty

This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by;

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Dependence Modeling with Copulas

vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops;

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Dependence Modeling with Copulas

vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops;

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Database and Expert Systems Applications

High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing;

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Database and Expert Systems Applications

High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Multivariate Time Series Analysis and Applications

William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series;

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Financial Forecasting, Analysis And Modelling

in financial planning, and accuracy demands it be used appropriately. With special focus on uncertainty in modelling and planning, Financial;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

are typically used in combination with hydraulic models forming a cascade, often supported by geospatial processing. For uncertainty analysis;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

are typically used in combination with hydraulic models forming a cascade, often supported by geospatial processing. For uncertainty analysis;

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Dam Break Modelling, Risk Assessment and Uncertainty Analysis for Flood Mitigation

based on a statistical analysis of the discharge distribution in rivers. However, the history of construction of dams and dikes coexists with;

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Dam Break Modelling, Risk Assessment and Uncertainty Analysis for Flood Mitigation

based on a statistical analysis of the discharge distribution in rivers. However, the history of construction of dams and dikes coexists with;

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Bridging the Geographic Information Sciences

, Urban GIS; GIS and Spatial Analysis for Global Change Modelling, Impact on Space; and Geographic Information Science: links with other;

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Simulation of Thermoelastic Behaviour of Spacecraft Structures

with its spin-off to provide high quality conductors for thermal models. The book concludes with the discussion of the application;

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Stochastic Optimization with Simulation Based Optimization

. In comparison with existing simulation based optimization methods, the proposed framework leads to better solutions especially for problems with high;

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High-Dimensional Probability

quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management;

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Renewable Energy Integration to the Grid

Presents analysis and modeling of renewable generation uncertainty for planning and operation, beneficial for industry professionals and;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on;

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Perspectives on Big Data Analysis

methodological developments in high-dimensional statistics dealing with interesting and challenging problems concerning the analysis of complex, high;

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High-dimensional Data Analysis

Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide;

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Risk and Uncertainty Analysis for Sustainable Urban Water Systems

of uncertainty in any complex system modelling. The fuzzy set theory based multi-criteria analysis method is supported with a framework that allows;

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