A two-stage ABC-rejection-plus-random-forest algorithm is proposed for faster parameter inference, but its efficiency statistics do not match the stated definition and its posterior validity is unsupported.
(B) The model host landscape, representing the fraction of 1 km2 grid cell occupied by cassava, derived from Cas- savaMap (Szyniszewska, 2020)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm
A two-stage ABC-rejection-plus-random-forest algorithm is proposed for faster parameter inference, but its efficiency statistics do not match the stated definition and its posterior validity is unsupported.