The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one...

uncertainty. Maximum entropy thermodynamics Maximum entropy spectral estimation Principle of maximum entropy Maximum entropy probability distribution Maximum entropy...

In physics, maximum entropy thermodynamics (colloquially, MaxEnt thermodynamics) views equilibrium thermodynamics and statistical mechanics as inference...

In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members of...

Entropy is a scientific concept, most commonly associated with states of disorder, randomness, or uncertainty. The term and the concept are used in diverse...

local transient decreases of entropy. The reproducible response of the system is then to increase the entropy back to its maximum by irreversible processes:...

In statistics, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features...

In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential...

regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier, and the conditional maximum entropy model. Multinomial logistic regression...

distribution with λ = 1/μ has the largest differential entropy. In other words, it is the maximum entropy probability distribution for a random variate X which...

Energy dissipation and entropy production extremal principles are ideas developed within non-equilibrium thermodynamics that attempt to predict the likely...

Maximum entropy spectral estimation is a method of spectral density estimation. The goal is to improve the spectral quality based on the principle of...

maximizes entropy (minimizes added information), and in this sense makes the fewest assumptions of the data being modeled; see § Maximum entropy. The parameters...

variance) are zero. It is also the continuous distribution with the maximum entropy for a specified mean and variance. Geary has shown, assuming that the...

between the form of a maximum entropy distribution and the exponential family. Examples of commonly used continuous maximum entropy distributions in simulations...

then so are each of those two independent random variables. It is a maximum-entropy distribution among the set of generalized binomial distributions B...

many Bayesian inference problems. Student's t distribution is the maximum entropy probability distribution for a random variate X having a certain value...

theoretical and applied statistics. The gamma distribution is the maximum entropy probability distribution (both with respect to a uniform base measure...

Bekenstein bound of black hole thermodynamics, which conjectures that the maximum entropy in any region scales with the radius squared, rather than cubed as...

In information theory, the cross-entropy between two probability distributions p {\displaystyle p} and q {\displaystyle q} , over the same underlying...

Vinod (2006), presents a method that bootstraps time series data using maximum entropy principles satisfying the Ergodic theorem with mean-preserving and...

length on the distribution's support are equally probable. It is the maximum entropy probability distribution for a random variable X {\displaystyle X}...

based mainly on the consequences of symmetries and on the principle of maximum entropy. As an example of an a priori prior, due to Jaynes (2003), consider...

The principle of maximum caliber (MaxCal) or maximum path entropy principle, suggested by E. T. Jaynes, can be considered as a generalization of the principle...

statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel...

evolve to a state of no thermodynamic free energy and, having reached maximum entropy, will therefore be unable to sustain any further thermodynamic processes...

knowledge is postulated Maximum spacing estimation: a related method that is more robust in many situations Maximum entropy estimation Method of moments...

between two different populations should be less than 1:10−5. The Maximum entropy method is an analysis method that has great developmental potential...

relative "objectivity" of the priors proposed under these methods): Maximum entropy Transformation group analysis Reference analysis Each of these methods...

Maximum-entropy random graph models are random graph models used to study complex networks subject to the principle of maximum entropy under a set of structural...