… faster methods. In this article we show that the computation of distance covariance and
distance … The new formula we derive for an unbiased estimator for squared distance covariance …

… faster methods. In this paper we show that the computation of distance covariance and
distance … The new formula we derive for an unbiased estimator for squared distance covariance …

… the FAST-MCD algorithm because it is both robust and fast, … the FAST-MCD results with the
classical mean and covariance … time we will illustrate a new tool, the distance-distance plot. …

… run into the difficulty that the covariance of such vectors would correspond to … faster algorithms.
More precisely, given an upper bound Σt on the true covariance matrix Σ, we can compute …

… We provide a fast way of calculating covariances using the … search algorithm using a
distance metric defined on the … describe the covariance features and explain the fast computa…

We propose a dimensionality reduction method to identify linear projections that capture
interactions between two or more sets of variables. The method, distance covariance analysis (…

… distance covariance, its fast … distance covariance of random vectors and corresponding
independence tests. In Section 4, we present some theoretical properties on distance covariance …

… provide a useful background when the notion of distance covariance is taught. Also, parts (a)
… faster if we use an equispaced set X = seq(from=-1,to = 1,by = 2/(n-1)), so the computation …

… In the next sections, we introduce the region covariance and discuss the integral image
based covariance matrix extraction formulation in detail. Then, we give a computational …

… in the definition of the squared sample distance covariance, which is given in the expression
… , we do not use the aforementioned sample distance covariance, instead, we adopted an …