Previsões
ID
Idioma
Nome do modelo
Repositório
Descrição
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (AL)
Model 1 - Weekly and yearly (iid) components
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.
Model 1 - Weekly and yearly (iid) components
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.
Model 1 - Weekly and yearly (iid) components
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.
Model 2 - Weekly and yearly (rw1) components
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.
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (MT)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (MG)
LSTM model for Infodengue Sprint
Predictions for 2023 in AM using the comb_att_n architecture
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (MA)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (AP)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (ES)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (PA)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (MS)
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2800308 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2800308 como input
LSTM model for Infodengue Sprint
Predictions for 2024 in PE using the baseline architecture
Model 1 - Weekly and yearly (iid) components
This upload represents the epidemic prediction for validation test 2 in the state AM.
LSTM model for Infodengue Sprint
Predictions for 2024 in AC using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state BA.
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state GO.
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 2 in the state RO.
Model 1 - Weekly and yearly (iid) components
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.
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2408102 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2408102 como input
Random Forest model with uncertainty computed with conformal prediction
Forecast de novos casos para o geocode 2111300 entre 2022-01-01 e 2023-01-01 usando apenas os dados de 2111300 como input
LSTM model for Infodengue Sprint
Predictions for 2023 in AP using the comb_att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in GO using the att architecture
LSTM model for Infodengue Sprint
Predictions for 2023 in DF using the baseline architecture
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 1 in the state SE.
Model 2 - Weekly and yearly (rw1) components
This upload represents the epidemic prediction for validation test 1 in the state PR.
700 previsões
https://api.mosqlimate.org/api/registry/predictions/?page=21&per_page=30&
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