Prove that the auxiliary function Qjn is concavenamely, ????Qjn is convexif we choose all component models in

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Prove that the auxiliary function Q¹j¹nºº is concave—namely, ????Q¹j¹nºº is convex—if we choose all component models in a finite mixture model as one of the following e-family distributions:

a. Multivariate Gaussian distribution

b. Multinomial distribution

c. Dirichlet distribution

d. von Mises–Fisher distribution

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Machine Learning Fundamentals A Concise Introduction

ISBN: 9781108940023

1st Edition

Authors: Hui Jiang

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Question Posted: Oct 12, 2024 05:00 AM

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Prove that the auxiliary function Qjn is concavenamely, ????Qjn is convexif we choose all component models in

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Machine Learning Fundamentals A Concise Introduction

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