A DE BRUIJN'S IDENTITY FOR DEPENDENT RANDOM VARIABLES BASED ON COPULA THEORY
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Publication:5358071
DOI10.1017/S0269964815000315zbMath1370.94379MaRDI QIDQ5358071
Nayereh Bagheri Khoolenjani, Mohammad Hossein Alamatsaz
Publication date: 19 September 2017
Published in: Probability in the Engineering and Informational Sciences (Search for Journal in Brave)
Related Items (3)
ENTROPY FLOW AND DE BRUIJN'S IDENTITY FOR A CLASS OF STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY FRACTIONAL BROWNIAN MOTION ⋮ INEQUALITIES FOR THE DEPENDENT GAUSSIAN NOISE CHANNELS BASED ON FISHER INFORMATION AND COPULAS ⋮ An alternative proof for the minimum Fisher information of Gaussian distribution
Cites Work
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- A Mathematical Theory of Communication
- An introduction to copulas.
- On Stein's identity and its applications
- The heat equation and Stein's identity: connections, applications
- On the Equivalence Between Stein and De Bruijn Identities
- SOME NEW RESULTS ON RÉNYI ENTROPY OF RESIDUAL LIFE AND INACTIVITY TIME
- Some inequalities satisfied by the quantities of information of Fisher and Shannon
- Mutual Information and Minimum Mean-Square Error in Gaussian Channels
- Gradient of mutual information in linear vector Gaussian channels
- The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
- An Extremal Inequality Motivated by Multiterminal Information-Theoretic Problems
- A new entropy power inequality
- A simple converse for broadcast channels with additive white Gaussian noise (Corresp.)
- Hessian and Concavity of Mutual Information, Differential Entropy, and Entropy Power in Linear Vector Gaussian Channels
- Information Theoretic Proofs of Entropy Power Inequalities
- MULTIVARIATE DISPERSION ORDER AND THE NOTION OF COPULA APPLIED TO THE MULTIVARIATE t-DISTRIBUTION
- Elements of Information Theory
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