Rating
1620
Battle Count: 174
Relevance
8/10
Highly relevant for adaptive estimation of financial time series, including quantiles and covariance matrices
Implementation Complexity
6/10
Requires understanding of convex optimization, but implementation facilitated by existing tools like CVXPY
Reproducibility
4/5
Paper provides detailed methodology and examples, with code available on GitHub
About this paper
Methodology: Exponentially Weighted Moving Model (EWMM). Problem types: Time Series Forecasting, Regression, Classification.
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