A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models

This paper is concerned with the formulation and computation of average problems on the multinomial and negative multinomial models. It can be deduced that the multinomial and negative multinomial models admit complementary geometric structures. Firstly, we investigate these geometric structures by...

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Main Authors: Mingming Li, Huafei Sun, Didong Li
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/3/306
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author Mingming Li
Huafei Sun
Didong Li
author_facet Mingming Li
Huafei Sun
Didong Li
author_sort Mingming Li
collection DOAJ
description This paper is concerned with the formulation and computation of average problems on the multinomial and negative multinomial models. It can be deduced that the multinomial and negative multinomial models admit complementary geometric structures. Firstly, we investigate these geometric structures by providing various useful pre-derived expressions of some fundamental geometric quantities, such as Fisher-Riemannian metrics, <inline-formula> <math display="inline"> <semantics> <mi>&#945;</mi> </semantics> </math> </inline-formula>-connections and <inline-formula> <math display="inline"> <semantics> <mi>&#945;</mi> </semantics> </math> </inline-formula>-curvatures. Then, we proceed to consider some average methods based on these geometric structures. Specifically, we study the formulation and computation of the midpoint of two points and the Karcher mean of multiple points. In conclusion, we find some parallel results for the average problems on these two complementary models.
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spelling doaj.art-6e26787e9d114870869b82232f6ab9d52022-12-22T02:54:42ZengMDPI AGEntropy1099-43002020-03-0122330610.3390/e22030306e22030306A Geometric Approach to Average Problems on Multinomial and Negative Multinomial ModelsMingming Li0Huafei Sun1Didong Li2School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, ChinaDepartment of Mathematics, Duke University, Durham, NC 27708, USAThis paper is concerned with the formulation and computation of average problems on the multinomial and negative multinomial models. It can be deduced that the multinomial and negative multinomial models admit complementary geometric structures. Firstly, we investigate these geometric structures by providing various useful pre-derived expressions of some fundamental geometric quantities, such as Fisher-Riemannian metrics, <inline-formula> <math display="inline"> <semantics> <mi>&#945;</mi> </semantics> </math> </inline-formula>-connections and <inline-formula> <math display="inline"> <semantics> <mi>&#945;</mi> </semantics> </math> </inline-formula>-curvatures. Then, we proceed to consider some average methods based on these geometric structures. Specifically, we study the formulation and computation of the midpoint of two points and the Karcher mean of multiple points. In conclusion, we find some parallel results for the average problems on these two complementary models.https://www.mdpi.com/1099-4300/22/3/306structure characterizationaverage problemgeometric midpointskarcher mean
spellingShingle Mingming Li
Huafei Sun
Didong Li
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
Entropy
structure characterization
average problem
geometric midpoints
karcher mean
title A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
title_full A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
title_fullStr A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
title_full_unstemmed A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
title_short A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
title_sort geometric approach to average problems on multinomial and negative multinomial models
topic structure characterization
average problem
geometric midpoints
karcher mean
url https://www.mdpi.com/1099-4300/22/3/306
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