A maximal entropy random walk (MERW) is a popular type of biased random walk on a graph, in which transition probabilities are chosen accordingly to the...

random walk Brownian motion Law of the iterated logarithm Lévy flight Lévy flight foraging hypothesis Loop-erased random walk Maximal entropy random walk...

Community structure Kullback–Leibler divergence Markov chain Maximal entropy random walk Random walk closeness centrality Social network analysis Travelling...

physical systems tend to move towards maximal entropy configurations over time. If X {\displaystyle X} is a continuous random variable with probability density...

information source Asymptotic equipartition property Maximal entropy random walk - chosen to maximize entropy rate Cover, Thomas M.; Thomas, Joy A. (2006). Elements...

symbol, the maximal information rate can be obtained by first finding the optimal transition probabilities using a maximal entropy random walk, then using...

Waclaw, Localization of the Maximal Entropy Random Walk, Phys. Rev. Lett., 2009. J. Duda, Extended Maximal Entropy Random Walk, PhD Thesis, 2012. Brandes...

Depletion force Maximal entropy random walk Müller, Ingo (2007). A History of Thermodynamics: The Doctrine of Energy and Entropy. Springer Science & Business...

Archived from the original on 11 July 2010. "Electron conductance models using maximal entropy random walks". wolfram.com. Wolfram Demonstrantions Project....

network science, the network entropy is a disorder measure derived from information theory to describe the level of randomness and the amount of information...

equation Direct current Drift current Free electron model Random walk Maximal entropy random walk – diffusion in agreement with quantum predictions McGraw...

of systems with many degrees of freedom. Maximal entropy random walk Jaynes, E T (1980). "The Minimum Entropy Production Principle". Annual Review of Physical...

to their discovery around the world. Maximal entropy random walk (MERW) is a popular type of biased random walk on a graph, used e.g. in complex network...

since uncertainty is maximal when all possible events are equiprobable. For α or β approaching zero, the differential entropy approaches its minimum...

\sigma ^{2})} is the one with maximum entropy. To see this, let ⁠ X {\displaystyle X} ⁠ be a continuous random variable with probability density ⁠ f (...

process Loop-erased random walk Markov chain Examples of Markov chains Detailed balance Markov property Hidden Markov model Maximum-entropy Markov model Markov...

In statistics, a Gaussian random field (GRF) is a random field involving Gaussian probability density functions of the variables. A one-dimensional GRF...

processing, an autoregressive (AR) model is a representation of a type of random process; as such, it can be used to describe certain time-varying processes...

Mauchly's sphericity test Maximal ergodic theorem Maximal information coefficient Maximum a posteriori estimation Maximum entropy classifier – redirects...

maximum entropy Probability Probability interpretations Propensity probability Random number generator Random sequence Randomization Randomness Statistical...

+ 1)p is an integer. In this case, there are two values for which f is maximal: (n + 1) p and (n + 1) p − 1. M is the most probable outcome (that is,...

converge to degree centrality. As β {\displaystyle \beta } approaches its maximal value, the indices converge to eigenvalue centrality. The common feature...

mathematical framework based on absorbing Markov chain random walks (a random walk where certain states end the walk). The algorithm is called GRASSHOPPER. In addition...

the number of terms in a random partition of an integer as well as the trend-adjusted sizes of maximal prime gaps and maximal gaps between prime constellations...

probability space associated to a random walk. It is an object designed to encode the asymptotic behaviour of the random walk, i.e. how trajectories diverge...

physical systems in the context of statistical mechanics (e.g., a maximal-entropy distribution of microstates for a given temperature at thermal equilibrium)...

subjected to random displacements due to collisions with other particles, which is called Brownian motion. The position of the particle is then random; its probability...

identically distributed random variables Markov chain Moran process Random walk Loop-erased Self-avoiding Biased Maximal entropy Continuous time Additive...

coding: precursor to arithmetic encoding Entropy coding with known entropy characteristics Golomb coding: form of entropy coding that is optimal for alphabets...

of two independent random variables with this distribution has the same distribution, up to location and scale parameters. A random variable is said to...