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Uncertainty Modelling in Data Science

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Cover of 'Uncertainty Modelling in Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Imprecise Statistical Inference for Accelerated Life Testing Data: Imprecision Related to Log-Rank Test
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    Chapter 2 Descriptive Comparison of the Rating Scales Through Different Scale Estimates: Simulation-Based Analysis
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    Chapter 3 Central Moments of a Fuzzy Random Variable Using the Signed Distance: A Look Towards the Variance
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    Chapter 4 On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency
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    Chapter 5 Characterization of Conditional Submodular Capacities: Coherence and Extension
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    Chapter 6 Some Partial Order Relations on a Set of Random Variables
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    Chapter 7 A Desirability-Based Axiomatisation for Coherent Choice Functions
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    Chapter 8 Cycle-Free Cuts of the Reciprocal Relation Generated by Random Variables that are Pairwisely Coupled by a Frank Copula
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    Chapter 9 Density Estimation with Imprecise Kernels: Application to Classification
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    Chapter 10 Z-numbers as Generalized Probability Boxes
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    Chapter 11 Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision
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    Chapter 12 Robust Fuzzy Relational Clustering of Non-linear Data
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    Chapter 13 Measures of Dispersion for Interval Data
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    Chapter 14 A Maximum Likelihood Approach to Inference Under Coarse Data Based on Minimax Regret
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    Chapter 15 Monitoring of Time Series Using Fuzzy Weighted Prediction Models
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    Chapter 16 Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder
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    Chapter 17 An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain
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    Chapter 18 Imprecise Probability Inference on Masked Multicomponent System
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    Chapter 19 Regression Ensemble with Linguistic Descriptions
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    Chapter 20 Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier
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    Chapter 21 Case Study-Based Sensitivity Analysis of Scale Estimates w.r.t. the Shape of Fuzzy Data
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    Chapter 22 Compatibility, Coherence and the RIP
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    Chapter 23 Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability
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    Chapter 24 Beyond Doss and Fréchet Expectation Sets
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    Chapter 25 Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data
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    Chapter 26 Continuity of the Shafer-Vovk-Ville Operator
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    Chapter 27 Choquet Theorem for Random Sets in Polish Spaces and Beyond
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    Chapter 28 Generalising the Pari-Mutuel Model
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    Chapter 29 A Net Premium Model for Life Insurance Under a Sort of Generalized Uncertain Interest Rates
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Title
Uncertainty Modelling in Data Science
Published by
Springer International Publishing, October 2018
DOI 10.1007/978-3-319-97547-4
ISBNs
978-3-31-997546-7, 978-3-31-997547-4
Editors

Destercke, Sébastien, Denoeux, Thierry, Gil, María Ángeles, Grzegorzewski, Przemyslaw, Hryniewicz, Olgierd

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