Results 241 to 250 of about 563,674 (272)
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2020
Abstract A major goal of ecology is to predict patterns and changes in the abundance, distribution, and energetics of individuals and species in ecosystems. The maximum entropy theory of ecology (METE) predicts the functional forms and parameter values describing the central metrics of macroecology, including the distribution of ...
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Abstract A major goal of ecology is to predict patterns and changes in the abundance, distribution, and energetics of individuals and species in ecosystems. The maximum entropy theory of ecology (METE) predicts the functional forms and parameter values describing the central metrics of macroecology, including the distribution of ...
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The entropy of the maximum entropy distribution
Economics Letters, 1980Abstract The entropy of the univariate maximum entropy (ME) distribution is expressed in terms of order statistics. In the multivariate ME distribution, the expected mutual information equals a positive constant independent of the sample values, and the excess of the unconditional entropy of any variate over its average conditional entropy (given all
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Generalized Maximum Entropy. Comparison with Classical Maximum Entropy
1993In this paper a generalized algorithm of maximum entropy method for reconstruction of functions of any type (not only real non-negative, but real functions with alternating signs and complex ones as well) proposed in (Bajkova, 1991, 1992), is considered.
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Maximum entropy and maximum likelihood in spectral estimation
IEEE Transactions on Information Theory, 1998Summary: The power spectral measure, an informative feature of a stationary time-discrete stochastic process, describes the relative strength of uncorrelated frequency components that compose the process. In spectral estimation one wants to describe the spectral measures of processes having a prescribed initial block of autocorrelation coefficients. In
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Maximum a posteriori maximum entropy order determination
IEEE Transactions on Signal Processing, 1997Summary: An instance crucial to most problems in signal processing is the selection of the order of a presupposed model. Examples are the determination of the putative number of signals present in white Gaussian noise or the number of noise-contaminated sources impinging on a passive sensor array.
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Entropy and Principle of Maximum Entropy
1998Clausius coined the term ‘entropy’ from the Greek meaning transformation. Thus, entropy originated in physics and occupies an exceptional position among physical quantities. It does not appear in the fundamental equations of motion. Its nature is, rather, a statistical or probabilistic one, for it can be interpreted as a measure of the amount of chaos ...
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Maximum Entropy Modeling of Short Sequence Motifs with Applications to RNA Splicing Signals
Journal of Computational Biology, 2004Gene W Yeo, Christopher B Burge
exaly

