منابع مشابه
Application of differential transformation method to the fisher equation.
In this paper, the dierential transform method (DTM) is applied to the Fisherequation. This method can be used to obtain the exact solutions of Fisherequation. Finally, we give some examples to illustrate the suciency of themethod for solving such nonlinear partial dierential equations. These resultsshow that this technique is easy to apply.
متن کاملUnderstanding the Fisher Equation∗
It is argued that univariate long memory estimates based on ex post data tend to underestimate the persistence of ex ante variables (and, hence, that of the ex post variables themselves) because of the presence of unanticipated shocks whose short run volatility masks the degree of long range dependence in the data. Empirical estimates of long range dependence in the Fisher equation are shown to...
متن کاملThe Mendel - Fisher Controversy
Gregor Mendel (1822–1884) is regarded as the founder of modern genetics. His experiments on pea plants reported in 1865 established the principles of segregation and of independent assortment. The former states that variation for contrasting traits is associated with a pair of factors that segregate to individual reproductive cells. The latter states that two or more of these factor-pairs assor...
متن کاملOn the Fisher-Bingham distribution
This paper primarily is concerned with the sampling of the Fisher–Bingham distribution and we describe a slice sampling algorithm for doing this. A by-product of this task gave us an infinite mixture representation of the Fisher–Bingham distribution; the mixing distributions being based on the Dirichlet distribution. Finite numerical approximations are considered and a sampling algorithm based ...
متن کاملFisher GAN
Generative Adversarial Networks (GANs) are powerful models for learning complex distributions. Stable training of GANs has been addressed in many recent works which explore different metrics between distributions. In this paper we introduce Fisher GAN which fits within the Integral Probability Metrics (IPM) framework for training GANs. Fisher GAN defines a critic with a data dependent constrain...
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ژورنال
عنوان ژورنال: Blue Jay
سال: 1951
ISSN: 2562-5667,0006-5099
DOI: 10.29173/bluejay1253