The following publications are possibly variants of this publication:
- An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivativesSam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis. eswa, 85:169-181, 2017. [doi]
- A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather DerivativesSam Cramer, Michael Kampouridis, Alex Alves Freitas. gecco 2016: 885-892 [doi]
- Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic ProgrammingSam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis. ssci 2015: 711-718 [doi]
- Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivativesSam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis 0002. swevo, 46:184-200, 2019. [doi]
- New genetic programming methods for rainfall prediction and rainfall derivatives pricingSam Cramer. PhD thesis, University of Kent, Canterbury, UK, 2017. [doi]