摘要: SynonymsSynonymsJoint distribution; Joint probability density function; Joint probability mass functionDefinitionDefinitionLet X and Y be two random variables over the same sample space S, the joint p关键词: Geostatistics Joint sequential simulation Bivariate distribution ...
The paper deals with joint probabilistic constraints defined by a Gaussian coefficient matrix. It is shown how to explicitly reduce the computation of values and gradients of the underlying probability function to that of Gaussian distribution functions. This allows us to employ existing efficient ...
IN the study of the observed properties of random noise, for example, ocean wave records, it has been pointed out by Barber 1 that, for a narrow spectrum, the probability distribution of amplitude approximates to the distribution of the wave envelope. Since the latter distribution is simple to...
Photon Counting Statistics of Gaussian Light It is well known that the photocount distribution associated with the photoelectric detection of fluctuating light beams carries information about the probability density of the light intensity. In this paper, we present an exact solutio... Bédard,Gabriel ...
4.6.1 Visualization of Spatial Covariance The joint probability of a pair of DN values at two pixels, separated by an amount h in a given direction, may be approximated by the joint histogram, (4.37)histh=count(DN1,DN2)/Nh which is a special case of Eq. (4-11); Nh is the number...
density functions of a negatively associated(NA) sample by are studied using the blockwise technique.It is shows that the blockwise empirical likelihood(EL) ratio statistic is asymptotically χ2-type distributed,which is used to obtain EL-based confidence interval for the probability density functions...
GRBM可以被观看作为对角Gaussians混合物用共有的参量,混合物组分的数量是指数的在暗藏的结的数量,并且组分的混合的比例是通过排斥从共同分配的可看见的结定义的。 翻译结果5复制译文编辑译文朗读译文返回顶部 GRBM可以被观看作为对角Gaussians混合物以共有的参量,混合物组分的数量是指数的在暗藏的结的数量,并且组分的混...
We use more advanced data augmentation scheme including horizontal mirroring (with probability 50%), random change of contrast and brightness, random rotation (from -10° to +10°), and random cropping. We applied the weight decay only for convolutional filters, since we observed that the highest...
In this paper, we examine the Gaussian copula model for the JDI. We model the covariance across the temporal scales with a two-parameter function that is commonly used in the specific context of spatial statistics or geostatistics. The validity of the covariance models is demonstrated with long-...
of this mode of operation is that there is no guarantee that the model-set is free of noise and outliers, which contaminates the estimation of the registration parameters. Unlike previous work, the proposed method treats all the point sets on an equal footing: they are realizations of a ...