Chain rules for multivariate cumulant coefficients

Stat ◽  
2022 ◽  
Author(s):  
Christopher S. Withers ◽  
Saralees Nadarajah
Keyword(s):  
1999 ◽  
Vol 302-303 ◽  
pp. 231-244 ◽  
Author(s):  
Rajendra Bhatia ◽  
Kalyan B. Sinha
Keyword(s):  

2012 ◽  
Vol 22 (3) ◽  
pp. 899-913 ◽  
Author(s):  
Marius Durea ◽  
Radu Strugariu

Author(s):  
Rana M. Amir Latif ◽  
Samar Iqbal ◽  
Osama Rizwan ◽  
Syed Umair Aslam Shah ◽  
Muhammad Farhan ◽  
...  
Keyword(s):  

2015 ◽  
Vol 2 (8) ◽  
pp. 150255 ◽  
Author(s):  
Dongpo Xu ◽  
Cyrus Jahanchahi ◽  
Clive C. Took ◽  
Danilo P. Mandic

Quaternion derivatives exist only for a very restricted class of analytic (regular) functions; however, in many applications, functions of interest are real-valued and hence not analytic, a typical case being the standard real mean square error objective function. The recent HR calculus is a step forward and provides a way to calculate derivatives and gradients of both analytic and non-analytic functions of quaternion variables; however, the HR calculus can become cumbersome in complex optimization problems due to the lack of rigorous product and chain rules, a consequence of the non-commutativity of quaternion algebra. To address this issue, we introduce the generalized HR (GHR) derivatives which employ quaternion rotations in a general orthogonal system and provide the left- and right-hand versions of the quaternion derivative of general functions. The GHR calculus also solves the long-standing problems of product and chain rules, mean-value theorem and Taylor's theorem in the quaternion field. At the core of the proposed GHR calculus is quaternion rotation, which makes it possible to extend the principle to other functional calculi in non-commutative settings. Examples in statistical learning theory and adaptive signal processing support the analysis.


2010 ◽  
Vol 58 (1) ◽  
pp. 79-87 ◽  
Author(s):  
Wen-Xiu Ma ◽  
Boris Shekhtman
Keyword(s):  

2021 ◽  
Author(s):  
Iulia Mihaiu ◽  
Rafael Belchior ◽  
Sabrina Scuri ◽  
Nuno Nunes

<div><div><br></div><div>Decentralized ledger technology (DLT), in particular blockchain, is becoming ubiquitous in today's society. Just in the second quarter of 2021, centralized and decentralized exchanges had a volume of around $600 billion. Enterprises are adopting this technology, following the opportunity to expand to new businesses. However, they need to connect their existing systems and processes to blockchains securely and reliably. Blockchain interoperability (BI) is emerging as one of the crucial features of blockchain technology. Fueled by the need to eliminate data and value silos, they realize the necessary bridge between centralized and decentralized systems.</div><div>As BI is still maturing, there are many unsolved challenges. In particular, it is still difficult for developers and practitioners to have control over processes spawning across several DLTs.</div><div>In this report, we focus on the problem of managing cross-chain state in an integrated manner. First, we introduce the concept of cross-chain logic/cross-chain rules. After that, we present and discuss the results of our BI survey. Finally, we propose the BI evaluation framework, the first step to systematically evaluate BI solutions.</div></div>


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