Predictions
ID
Lang
Model name
Repository
Predict date
Type
Model ID
Description
Model 1 - Weekly and yearly (iid) components
2024-08-15
Model 27
The model is founded on a structural decomposition designed for modeling counting series, employing a Poisson distribution. The log intensity is defined by the sum of weekly and yearly components, where the first one is defined as a AR(1) process and the last one is assumed to be iid.
LSTM-RF model
2025-07-31
Model 137
LSTM-RF predictions for Mosqlimate Sprint 2025
UERJ-SARIMAX-2025-2
2025-08-22
Model 157
Validation test 2 for UF=MT (UERJ-SARIMAX-2025-2)
LSTM-RF model
2025-07-31
Model 137
LSTM-RF predictions for Mosqlimate Sprint 2025
2517 predictions
https://api.mosqlimate.org/api/registry/predictions/?page=17&per_page=30&
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