Efficient estimation of parameters in marginals in semiparametric multivariate models
By Ivan Medovikov, Valentyn Panchenko, Artem Prokhorov
Rating
1408
Battle Count: 197
Relevance
8/10
Highly relevant for improving risk estimation in portfolio management and trading strategies
Implementation Complexity
7/10
Requires advanced statistical knowledge and careful implementation, especially for higher dimensions
Reproducibility
4/5
The paper provides detailed methodology and simulation results. Code and datasets are available in supplementary materials.
About this paper
Methodology: Sieve Maximum Likelihood Estimation. Problem types: Density Estimation, Risk Management.
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