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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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Guardado en:
Formato: Online
Lenguaje:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2022
Materias:
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
Acceso en línea:ONIX_20220506_9783036535579_23
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