Organizations of many variables in nature such as soil moisture and topography exhibit patterns with no dominant scales. The maximum entropy (ME) principle is proposed to show how these variables can be statistically described using their scale-invariant properties and geometric mean. The ME principle predicts with great simplicity the probability distribution of a scale-invariant process in terms of macroscopic observables. The ME principle offers a universal and unified framework for characterizing such multiscaling processes.United States. Army Research Office (RDECOM ARL) (Grant No. W911NF-07- 1-0126
invariant groups, macroecology, maximum entropy, noninformative prior distribution, scale invariance...
The Maximum Entropy Theory of Ecology (METE), developed by John Harte, presents an entirely new meth...
In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy...
There are numerous situations in physics and other disciplines which can be described at different l...
International audienceThe macro-to-micro transition in a heterogeneous material is envisaged as the ...
International audienceThe basic idea of the maximum entropy principle is presented in a succinct, se...
The maximum entropy principle provides one of the bases for specification of complete models from pa...
The Maximum Entropy Production (MEP) principle has been remarkably successful in producing accurate ...
We show that the natural scaling of measurement for a particular problem defines the most likely pro...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
Summary. The entropy S for a continuous distribution p (x) is defined by where m ( x) is the ‘prior...
When we only have partial information about the probability distri-bution, i.e., when several differ...
This thesis is a formal presentation of entropy and related principles as they relate to probability...
The principle of maximum entropy production (MEP) is the subject of considerable academic study, but...
Despite their obvious differences, biological systems at different scales tend to exhibit common org...
invariant groups, macroecology, maximum entropy, noninformative prior distribution, scale invariance...
The Maximum Entropy Theory of Ecology (METE), developed by John Harte, presents an entirely new meth...
In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy...
There are numerous situations in physics and other disciplines which can be described at different l...
International audienceThe macro-to-micro transition in a heterogeneous material is envisaged as the ...
International audienceThe basic idea of the maximum entropy principle is presented in a succinct, se...
The maximum entropy principle provides one of the bases for specification of complete models from pa...
The Maximum Entropy Production (MEP) principle has been remarkably successful in producing accurate ...
We show that the natural scaling of measurement for a particular problem defines the most likely pro...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
Summary. The entropy S for a continuous distribution p (x) is defined by where m ( x) is the ‘prior...
When we only have partial information about the probability distri-bution, i.e., when several differ...
This thesis is a formal presentation of entropy and related principles as they relate to probability...
The principle of maximum entropy production (MEP) is the subject of considerable academic study, but...
Despite their obvious differences, biological systems at different scales tend to exhibit common org...
invariant groups, macroecology, maximum entropy, noninformative prior distribution, scale invariance...
The Maximum Entropy Theory of Ecology (METE), developed by John Harte, presents an entirely new meth...
In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy...