Stochastic Earned Value Analysis using Monte Carlo Simulation and Statistical Learning Techniques
By Fernando Acebes, María Pereda, David Poza, Javier Pajares, José Manuel Galán
Rating
1463
Battle Count: 58
Relevance
3/10
While focused on project management, some concepts like anomaly detection and risk assessment could be adapted to trading contexts
Implementation Complexity
7/10
Requires implementation of multiple statistical learning techniques and Monte Carlo simulation
Reproducibility
4/5
The paper provides detailed methodology and case study, but lacks specific code implementation
About this paper
Methodology: Stochastic Earned Value Analysis. Problem types: Anomaly Detection, Classification, Regression.
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