Previsões
ID
Idioma
Nome do modelo
Repositório
Descrição
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (PR)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (PR)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (AP)
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (AM)
Prophet model with PCA and vaiance threshold
first test preds of the Prophet model in CE
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (TO)
LSTM model with PCA and vaiance threshold
second test preds of the LSTM model in AM
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (RN)
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.
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 is assumed to be iid.
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (PA)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (MT)
LSTM model for Infodengue Sprint
Predictions for 2024 in GO using the att_3 architecture
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (BA)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (MS)
LSTM model for Infodengue Sprint
Predictions for 2023 in CE using the baseline_msle architecture
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 (SP)
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 is assumed to be iid.
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (TO)
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (ES)
LSTM model for Infodengue Sprint
Predictions for 2023 in GO using the att_3 architecture
Prophet model with PCA and vaiance threshold
second test preds of the Prophet model in CE
Temp-SPI Interaction Model
Validation test 1 for three-way interaction model (RN)
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 2 for three-way interaction model (SE)
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 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 is assumed to be iid.
Temp-SPI Interaction Model
Validation test 2 for three-way interaction model (DF)
700 previsões
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