Applied Time Series Analysis and Forecasting with Python
De (autor): Changquan Huang
- 1. Time Series Concepts and Python. - 2. Exploratory Time Series Data Analysis. - 3. Stationary Time Series Models. - 4. ARMA and ARIMA Modeling and Forecasting. - 5. Nonstationary Time Series Models. - 6. Financial Time Series and Related Models. - 7. Multivariate Time Series Analysis. - 8. State Space Models and Markov Switching Models. - 9. Nonstationarity and Cointegrations. - 10. Modern Machine Learning Methods for Time Series Analysis.
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PRP: 1022.91 Lei
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920.62Lei
920.62Lei
1022.91 LeiPrimesti 920 puncte
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Descrierea produsului
- 1. Time Series Concepts and Python. - 2. Exploratory Time Series Data Analysis. - 3. Stationary Time Series Models. - 4. ARMA and ARIMA Modeling and Forecasting. - 5. Nonstationary Time Series Models. - 6. Financial Time Series and Related Models. - 7. Multivariate Time Series Analysis. - 8. State Space Models and Markov Switching Models. - 9. Nonstationarity and Cointegrations. - 10. Modern Machine Learning Methods for Time Series Analysis.
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