The Statistical Foundations of Entropy

In the last two decades, the understanding of complex dynamical systems underwent important conceptual shifts. The catalyst was the infusion of new ideas from the theory of critical phenomena (scaling laws, renormalization group, etc.), (multi)fractals and trees, random matrix theory, network theory...

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Detaylı Bibliyografya
Materyal Türü:	Online
Dil:	İngilizce
Baskı/Yayın Bilgisi:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Konular:	ecological inference generalized cross entropy distributional weighted regression matrix adjustment entropy critical phenomena renormalization multiscale thermodynamics GENERIC non-Newtonian calculus non-Diophantine arithmetic Kolmogorov–Nagumo averages escort probabilities generalized entropies maximum entropy principle MaxEnt distribution calibration invariance Lagrange multipliers generalized Bilal distribution adaptive Type-II progressive hybrid censoring scheme maximum likelihood estimation Bayesian estimation Lindley’s approximation confidence interval Markov chain Monte Carlo method Rényi entropy Tsallis entropy entropic uncertainty relations quantum metrology non-equilibrium thermodynamics variational entropy rényi entropy tsallis entropy landsberg—vedral entropy gaussian entropy sharma—mittal entropy α-mutual information α-channel capacity maximum entropy Bayesian inference updating probabilities n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
Online Erişim:	ONIX_20220506_9783036535579_23
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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ONIX_20220506_9783036535579_23

The Statistical Foundations of Entropy

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