Applied Time Series Analysis and Forecasting with Python

Applied Time Series Analysis and Forecasting with Python

Huang, Changquan; Petukhina, Alla

Springer International Publishing AG

10/2022

372

Dura

Inglês

9783031135835

15 a 20 dias

740

Descrição não disponível.
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.
Time Series Analysis;Python;Forecasting;Big Data Analysis;Data Visualization;Machine Learning for Time Series;Artificial Intelligence;Stationary Time Series;Nonstationary Time Series;Multivariate Time Series;Financial Time Series;State Space Models;Markov Switching Models;ARMA and ARIMA;Data Science