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Uncertainty Modelling in Data Science

Overview of attention for book
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
Attention for Chapter 26: Continuity of the Shafer-Vovk-Ville Operator
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Chapter title
Continuity of the Shafer-Vovk-Ville Operator
Chapter number 26
Book title
Uncertainty Modelling in Data Science
Published in
Advances in Intelligent Systems and Computing, September 2018
DOI 10.1007/978-3-319-97547-4_26
Book ISBNs
978-3-31-997546-7, 978-3-31-997547-4
Authors

Natan T’Joens, Gert de Cooman, Jasper De Bock, T'Joens, Natan, De Cooman, Gert, De Bock, Jasper

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 May 2019.
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#23,324,704
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Outputs from Advances in Intelligent Systems and Computing
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