The Statistical Foundations of Entropy

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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Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Mathematics & science
Research & information: general
adaptive Type-II progressive hybrid censoring scheme
Bayesian estimation
Bayesian inference
calibration invariance
confidence interval
critical phenomena
distributional weighted regression
ecological inference
entropic uncertainty relations
entropy
escort probabilities
gaussian entropy
generalized Bilal distribution
generalized cross entropy
generalized entropies
GENERIC
Kolmogorov-Nagumo averages
Lagrange multipliers
landsberg-vedral entropy
Lindley's approximation
Markov chain Monte Carlo method
matrix adjustment
MaxEnt distribution
maximum entropy
maximum entropy principle
maximum likelihood estimation
multiscale thermodynamics
n/a
non-Diophantine arithmetic
non-equilibrium thermodynamics
non-Newtonian calculus
quantum metrology
renormalization
rényi entropy
Rényi entropy
sharma-mittal entropy
tsallis entropy
Tsallis entropy
updating probabilities
variational entropy
α-channel capacity
α-mutual information
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