Tech Insights

SARIMA

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What is SARIMA?

SARIMA (Seasonal Autoregressive Integrated Moving Average) is a statistical method used for analyzing and forecasting time series data that exhibits seasonality. It extends the ARIMA model to explicitly account for seasonal patterns in the data. It is commonly used in economics, finance, and environmental science to predict future values based on historical observations.

What other technologies are related to SARIMA?

SARIMA Competitor Technologies

ARIMA models are a specific case of SARIMA models, for time series data without seasonality. Therefore, they compete in the same application space.
mentioned alongside SARIMA in 16% (209) of relevant job posts
LSTMs are a type of recurrent neural network often used for time series forecasting, providing an alternative approach to SARIMA.
mentioned alongside SARIMA in 5% (62) of relevant job posts
LSTM is a type of recurrent neural network often used for time series forecasting, providing an alternative approach to SARIMA.
mentioned alongside SARIMA in 3% (94) of relevant job posts
Prophet is a forecasting procedure, also used to model time series data with seasonality, much like SARIMA.
mentioned alongside SARIMA in 2% (111) of relevant job posts

SARIMA Complementary Technologies

GCP Vertex AI is a machine learning platform that can be used to train and deploy SARIMA models.
mentioned alongside SARIMA in 0% (52) of relevant job posts
Scikit-learn provides tools and algorithms that can be used to build and evaluate SARIMA models.
mentioned alongside SARIMA in 0% (89) of relevant job posts
Pandas is a data manipulation library often used to prepare time series data for SARIMA modeling.
mentioned alongside SARIMA in 0% (81) of relevant job posts

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