Modelling
Lolita Muller
In this project, I developed Bayesian models to predict pistachio yields in California, using a unique seven-year dataset tracking individual tree growth and reproduction. The modeling process involved advanced data analysis, climate scenario projections (RCP4.5 and RCP8.5), and statistical modeling to assess the impact of climate factors on crop yield. The model achieved high prediction accuracy, showcasing my expertise in handling large datasets, Bayesian modeling, and climate data analysis.
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Posted Aug 16, 2024
I developed accurate Bayesian models to predict pistachio yields, leveraging my expertise in data analysis, Bayesian modeling, and climate projection.
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