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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

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Table of Contents

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    Book Overview
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    Chapter 1 An Enjoyable Research Journey on Uncertainty
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    Chapter 2 A Bayesian Dilemma
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    Chapter 3 The Fell Compactification of a Poset
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    Chapter 4 Is Time Fuzzy?
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    Chapter 5 Hung Jury: The Verdict on Uncertainty
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    Chapter 6 Applications of Type-2 Fuzzy Sets with Set Approximation Approaches: A Summary
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    Chapter 7 A Remark on the Caristi’s Fixed Point Theorem and the Brouwer Fixed Point Theorem
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    Chapter 8 Thick Sets, Multiple-Valued Mappings, and Possibility Theory
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    Chapter 9 A Tacit Assumption Behind Lewis Triviality That Is Not Applicable to Product Space Conditional Event Algebra
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    Chapter 10 Arrondir le cercle...
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    Chapter 11 Beyond p-Boxes and Interval-Valued Moments: Natural Next Approximations to General Imprecise Probabilities
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    Chapter 12 How to Reconcile Maximum Entropy Approach with Intuition: E.g., Should Interval Uncertainty Be Represented by a Uniform Distribution
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    Chapter 13 Time Series: How Unusual Local Behavior Can Be Recognized Using Fuzzy Modeling Methods
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    Chapter 14 Fuzzy-Based Methods in Data Analysis with the Focus on Dimensionality Reduction
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    Chapter 15 Perception and Reality
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    Chapter 16 The Falsificationist Foundation for Null Hypothesis Significance Testing
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    Chapter 17 A Wavelet Strategy to Buy Low and Sell High
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    Chapter 18 A Note on the Relation Between Liu’s Uncertain Measure and Choquet Capacity
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    Chapter 19 The Joint Distribution of the Discrete Random Set Vector and Bivariate Coarsening at Random Models
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Title
Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas
Published by
Springer International Publishing, January 2021
DOI 10.1007/978-3-030-45619-1
ISBNs
978-3-03-045618-4, 978-3-03-045619-1
Editors

Vladik Kreinovich

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