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Building Bridges between Soft and Statistical Methodologies for Data Science

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Cover of 'Building Bridges between Soft and Statistical Methodologies for Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-dimensional Maximal Coherent Subsets Made Easy: Illustration on an Estimation Problem
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    Chapter 2 On Convergence in Distribution of Fuzzy Random Variables
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    Chapter 3 A Fuzzy Survival Tree (FST)
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    Chapter 4 Robust Rao-Type Tests for Non-destructive One-Shot Device Testing Under Step-Stress Model with Exponential Lifetimes
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    Chapter 5 An Imprecise Label Ranking Method for Heterogeneous Data
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    Chapter 6 The Choice of an Appropriate Stochastic Order to Aggregate Random Variables
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    Chapter 7 A Framework for Probabilistic Reasoning on Knowledge Graphs
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    Chapter 8 Biological Age Imputation by Data Depth
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    Chapter 9 Monitoring Tools in Robust CWM for the Analysis of Crime Data
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    Chapter 10 Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation
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    Chapter 11 Robust Diagnostics for Linear Mixed Models with the Forward Search
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    Chapter 12 K-Partitioning with Imprecise Probabilistic Edges
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    Chapter 13 Decision-Making with E-Admissibility Given a Finite Assessment of Choices
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    Chapter 14 Copula-Based Divergence Measures for Dependence Between Random Vectors
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    Chapter 15 The Winning Probability Relation of Parametrized Families of Random Vectors
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    Chapter 16 Convergence of Copulas Revisited: Different Notions of Convergence and Their Interrelations
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    Chapter 17 An INDSCAL-Type Approach for Three-Way Spectral Clustering
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    Chapter 18 On Clustering of Star-Shaped Sets with a Fuzzy Approach: An Application to the Clasts in the Cantabrian Coast
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    Chapter 19 Cluster Validity Measures for Fuzzy Two-Mode Clustering
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    Chapter 20 The Simplifying Assumption in Pair-Copula Constructions from an Analytic Perspective
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    Chapter 21 On Positive Dependence Properties for Archimedean Copulas
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    Chapter 22 Advances in Robust Constrained Model Based Clustering
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    Chapter 23 Trimmed Spatio-Temporal Variogram Estimator
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    Chapter 24 Two Notions of Depth in the Fuzzy Setting
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    Chapter 25 Tukey Depth for Fuzzy Sets
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    Chapter 26 Making Data Fair Through Optimal Trimmed Matching
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    Chapter 27 Paired Sample Test for Fuzzy Data
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    Chapter 28 Monitoring of Possibilisticaly Aggregated Complex Time Series
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    Chapter 29 Tk-Merge: Computationally Efficient Robust Clustering Under General Assumptions
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    Chapter 30 A Markov Kernel Approach to Multivariate Archimedean Copulas
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    Chapter 31 Using Fuzzy Cluster Analysis to Find Interesting Clusters
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    Chapter 32 Learning Control Limits for Monitoring of Multiple Processes with Neural Network
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    Chapter 33 Testing the Homogeneity of Topic Distribution Between Documents of a Corpus
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    Chapter 34 Circular Ordering Methods for Timing and Visualization of Oscillatory Signals
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    Chapter 35 The Extended Version of Cohen’s d Index for Interval-Valued Data
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    Chapter 36 Copulas, Lower Probabilities and Random Sets: How and When to Apply Them?
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    Chapter 37 Complex Dimensionality Reduction: Ultrametric Models for Mixed-Type Data
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    Chapter 38 Partial Calibrated Multi-label Ranking
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    Chapter 39 Imprecise Learning from Misclassified and Incomplete Categorical Data with Unknown Error Structure
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    Chapter 40 Note on Efron’s Monotonicity Property Under Given Copula Structures
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    Chapter 41 A Minimizing Problem of Distances Between Random Variables with Proportional Reversed Hazard Rate Functions
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    Chapter 42 Polytopes of Discrete Copulas and Applications
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    Chapter 43 Penalized Estimation of a Finite Mixture of Linear Regression Models
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    Chapter 44 Robust Bayesian Regression for Mislabeled Binary Outcomes
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    Chapter 45 Case-Wise and Cell-Wise Outliers Detection Based on Statistical Depth Filters
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    Chapter 46 The $$d_\theta $$-Depth-Based Interval Trimmed Mean
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    Chapter 47 Characterization of Extreme Points of p-Boxes via Their Normal Cones
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    Chapter 48 Measurability and Products of Random Sets
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    Chapter 49 Fast CP Model Fitting with Integrated ASD-ALS Procedure
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    Chapter 50 On Quantifying and Estimating Directed Dependence
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    Chapter 51 Explaining Cautious Random Forests via Counterfactuals
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    Chapter 52 Remarks on Martingale Representation Theorem for Set-Valued Martingales
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Title
Building Bridges between Soft and Statistical Methodologies for Data Science
Published by
Springer International Publishing, August 2022
DOI 10.1007/978-3-031-15509-3
ISBNs
978-3-03-115508-6, 978-3-03-115509-3
Editors

García-Escudero, Luis A., Gordaliza, Alfonso, Mayo, Agustín, Lubiano Gomez, María Asunción, Gil, Maria Angeles, Grzegorzewski, Przemyslaw, Hryniewicz, Olgierd

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