Dashboard - Predictions

2022-06-26

2025-12-21

#	ID	Name	Author	Last update
	34	infodengue_sprint_24_25_hybrid_CNN_LSTM_ensemble_model	Haridas Kumar Das	2024-09-09
2024_info_dengue_model_hybrid_CNN_LSTM_ensemble_RMSE_Penalties_final_ex_state_CE.ipynb
	28	Model 2 - Weekly and yearly (rw1) components	Marcio Maciel Bastos	2024-08-19
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 follows a RW(1) process.
	27	Model 1 - Weekly and yearly (iid) components	Marcio Maciel Bastos	2024-08-19
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.
	30	BB-M	Leo Bastos	2024-08-19
Bayesian baseline random effects model
	22	Temp-SPI Interaction Model		2024-08-16
Hierarchical Bayesian mixed model with three-way interaction between temperature, long-lag SPI and short-lag SPI

	ID	Model	Start Date	End Date	Score