Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Information  /  Vol: 13 Par: 1 (2022)  /  Artículo
ARTÍCULO
TITULO

Reversing Jensen?s Inequality for Information-Theoretic Analyses

Neri Merhav    

Resumen

In this work, we propose both an improvement and extensions of a reverse Jensen inequality due to Wunder et al. (2021). The new proposed inequalities are fairly tight and reasonably easy to use in a wide variety of situations, as demonstrated in several application examples that are relevant to information theory. Moreover, the main ideas behind the derivations turn out to be applicable to generate bounds to expectations of multivariate convex/concave functions, as well as functions that are not necessarily convex or concave.

 Artículos similares

       
 
Kjetil Nordby, Jon Erling Fauske, Etienne Gernez and Steven Mallam    
Augmented reality (AR) technology has emerged as a promising solution that can potentially reduce head-down time and increase situational awareness during navigation operations. It is also useful for remote operation centers where video feeds from remote... ver más

 
Luana Conte, Emanuele Rizzo, Tiziana Grassi, Francesco Bagordo, Elisabetta De Matteis and Giorgio De Nunzio    
Pedigree charts remain essential in oncological genetic counseling for identifying individuals with an increased risk of developing hereditary tumors. However, this valuable data source often remains confined to paper files, going unused. We propose a co... ver más
Revista: Computation

 
Alexey Liogky and Victoria Salamatova    
Data-driven simulations are gaining popularity in mechanics of biomaterials since they do not require explicit form of constitutive relations. Data-driven modeling based on neural networks lacks interpretability. In this study, we propose an interpretabl... ver más
Revista: Computation

 
Xiaoou Li    
This paper tackles the challenge of time series forecasting in the presence of missing data. Traditional methods often struggle with such data, which leads to inaccurate predictions. We propose a novel framework that combines the strengths of Generative ... ver más
Revista: Information

 
Romeu Sequeira, Arsénio Reis, Paulo Alves and Frederico Branco    
Higher education institutions (HEIs) make decisions in several domains, namely strategic and internal management, without using systematized data that support these decisions, which may jeopardize the success of their actions or even their efficiency. Th... ver más
Revista: Information