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A sparse matrix is a matrix where many of the elements are zeros. The tag can also be used for sparsity in other contexts, such as regression models with sparsity, or the "bet on sparsity"-principle.

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Utilizing A Correlation Matrix Derived from a Sparse Matrix

One problem is that the initial data was very sparse, and some columns had significantly more zeroes than others. … How would I go about choosing the variables with the lowest correlation without falling into the trap of choosing those that have the lowest pairwise correlation solely because they were both very sparse
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Statistical Practices Using Sparse Data: Methods for Approximating Standard Deviation

Suppose I know that for a discrete, non-negative r.v. $X$ that $X | X \geq 1$ has $\mu = 3.3$ while when $X \geq 0$ has $\mu = 2.1$. That is, the subset of the population that already has a value $1 …
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