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The figure shows the joint density estimate that results from using the automatically selected bandwidth. Matlab script for the example. Type the following commands in Matlab after downloading and saving the function kde2d.m in the current directory.
Python: the KernelReg class for mixed data types in the statsmodels.nonparametric sub-package (includes other kernel density related classes), the package kernel_regression as an extension of scikit-learn (inefficient memory-wise, useful only for small datasets) R: the function npreg of the np package can perform kernel regression. [7] [8]
The joint probabilistic data-association filter (JPDAF) [1] is a statistical approach to the problem of plot association (target-measurement assignment) in a target tracking algorithm.
Joint Approximation Diagonalization of Eigen-matrices (JADE) is an algorithm for independent component analysis that separates observed mixed signals into latent source signals by exploiting fourth order moments. [1] The fourth order moments are a measure of non-Gaussianity, which is used as a proxy for defining independence between the source ...
Z3 was developed in the Research in Software Engineering (RiSE) group at Microsoft Research Redmond and is targeted at solving problems that arise in software verification and program analysis. Z3 supports arithmetic, fixed-size bit-vectors, extensional arrays, datatypes, uninterpreted functions, and quantifiers .
In Lisp, lists are the fundamental data type and can represent both program code and data. In most dialects, the list of the first three prime numbers could be written as (list 2 3 5) . In several dialects of Lisp, including Scheme , a list is a collection of pairs, consisting of a value and a pointer to the next pair (or null value), making a ...
Mass spectrometry is a scientific technique for measuring the mass-to-charge ratio of ions. It is often coupled to chromatographic techniques such as gas-or liquid chromatography and has found widespread adoption in the fields of analytical chemistry and biochemistry where it can be used to identify and characterize small molecules and proteins ().
In statistics and signal processing, the method of empirical orthogonal function (EOF) analysis is a decomposition of a signal or data set in terms of orthogonal basis functions which are determined from the data.