Counting Statistics for Dependent Random Events
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Published By Springer International Publishing

9783030642495, 9783030642501

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Counting a Random Event: Traditional Approach and New Perspectives

Counting Statistics for Dependent Random Events ◽

10.1007/978-3-030-64250-1_4 ◽

2021 ◽

pp. 77-105

Author(s):

Enrico Bernardi ◽

Silvia Romagnoli

Keyword(s):

Traditional Approach ◽

Random Event

Real Data Empirical Applications

Counting Statistics for Dependent Random Events ◽

10.1007/978-3-030-64250-1_6 ◽

2021 ◽

pp. 165-193

Author(s):

Enrico Bernardi ◽

Silvia Romagnoli

Keyword(s):

Real Data

Copula Function and C-Volume

Counting Statistics for Dependent Random Events ◽

10.1007/978-3-030-64250-1_2 ◽

2021 ◽

pp. 29-61

Author(s):

Enrico Bernardi ◽

Silvia Romagnoli

Keyword(s):

Copula Function

Combinatorics and Random Matrices: A Brief Review

Counting Statistics for Dependent Random Events ◽

10.1007/978-3-030-64250-1_3 ◽

2021 ◽

pp. 63-73

Author(s):

Enrico Bernardi ◽

Silvia Romagnoli

Keyword(s):

Random Matrices

A New Copula-Based Approach for Counting: The Distorted and the Limiting Case

Counting Statistics for Dependent Random Events ◽

10.1007/978-3-030-64250-1_5 ◽

2021 ◽

pp. 107-164

Author(s):

Enrico Bernardi ◽

Silvia Romagnoli

Keyword(s):

Limiting Case

Clustering

Counting Statistics for Dependent Random Events ◽

10.1007/978-3-030-64250-1_1 ◽

2021 ◽

pp. 3-28

Author(s):

Enrico Bernardi ◽

Silvia Romagnoli