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Multivariate volatility forecasting, part 6 – sparse estimation

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First things first. What do we mean by sparse estimation? Sparse – thinly scattered or distributed; not thick or dense. In our context, the term ‘sparse’ is installed in the intersection between machine-learning and statistics. Broadly speaking, it refers to a situation where a solution to a problem is partly something and partly nothing. Using...

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