词汇 | example_english_kernel-density |
释义 | kernel densitycollocation in Englishmeanings of kerneland densityThese words are often used together. Click on the links below to explore the meanings. Or, see other collocations with kernel or density. kernel noun[C] uk /ˈkɜː.nəl/ us /ˈkɝː.nəl/ the part of a nut that is inside the shell and can ... See more at kernel density noun[C or U] uk /ˈden.sɪ.ti/ us /ˈden.sə.t̬i/ the number of people or things in a place in relation to the size of ... See more at density Examples of kernel densityThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. In order to allow for random fluctuations in the numbers of positive isolates, weekly data series were smoothed using kerneldensity smoothing. As the plots suggest, the stable model provides a better fit to the kerneldensity. Recall that for a bandwidth of 0.5, the kerneldensity estimates reveal two peaks. Data subject to kerneldensity smoothing. As in local linear regression, the idea is to localize a linear parameterization in the neighborhood of a state y through the use of a kerneldensity. The first requirement ensures that the method of kerneldensity estimation results in a probability density function. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Kerneldensity estimators were first introduced in the scientific literature for univariate data in the 1950s and 1960s and subsequently have been widely adopted. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Kerneldensity estimates are closely related to histograms, but can be endowed with properties such as smoothness or continuity by using a suitable kernel. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The result of summing these kernels is given on the right figure, which is a kerneldensity estimate. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. In kerneldensity estimation, the contribution of each data point is smoothed out from a single point into a region of space surrounding it. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Kerneldensity estimation is a fundamental data smoothing problem where inferences about the population are made, based on a finite data sample. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The algorithm for computing a dot plot is closely related to kerneldensity estimation. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Example problems that fit into this form include all-nearest-neighbors in manifold learning, kerneldensity estimation, and kernel machines. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. An alternative to the histogram is kerneldensity estimation, which uses a kernel to smooth samples. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. An alternate approach is kerneldensity estimation, which essentially blurs point samples to produce a continuous estimate of the probability density function which can provide an estimate of the mode. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Therefore, after conducting the kerneldensity analysis, it can be determine if grid cells with high crime intensity values are clustered together and thus forming a crime hotspot. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Choice of number and width of bins techniques can heavily influence the appearance of a histogram, and choice of bandwidth can heavily influence the appearance of a kerneldensity estimate. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. To further investigate the factors determining participation in the program, we first estimate kernel densities to trace out the income distributions of participating and non-participating households. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Want to learn more? Go to the definition of kernel Go to the definition of density See other collocations with kernel See other collocations with density |
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