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Intro to Time Series |
Slides 1-16 |
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Introduction to R/RStudio/Quarto for Time Series |
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| 2 |
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Introduction to R/RStudio/Quarto for Time Series |
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Practice Assignement 1 Group no meeting |
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| 3 |
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Zero-Mean Simple Models + Covariance |
Slides 17-27 |
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Stationary + Autocorrelation function + MA(1) |
Slides 28-38 |
| 4 |
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TS decomposition + Trend/Seasonality Estimation/Elimination |
Slides 39-46 |
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TS decomposition + Trend/Seasonality Estimation/Elimination |
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| 5 |
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Differencing Operator + Examples with R |
Slides 47-52 |
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TS Decomposition - Practice Assignement 2 Group no meeting |
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| 6 |
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Stationary processes + ARMA(p,q) |
Slides 75-91 |
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Estimation Mean and ACF + ARMA models |
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| 7 |
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ARMA modeling |
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ARMA Practice Assignement 3 Group no meeting |
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| 8 |
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Review -CSP Conference |
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Mid-term Exam no meeting |
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| 9 |
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ARIMA models |
Slides 94-99 |
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ARIMA models in R |
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SARIMA models |
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| 10 |
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SARIMA models - R Examples |
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Spring Break |
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| 11 |
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SARIMA models - R Examples |
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SARMA Practice Assignement 4 Group no meeting |
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| 12 |
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Forecasting |
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Forecasting Practice Assignement 5 Group no meeting |
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| 13 |
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Regression with ARMA Errors |
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SARMA Practice Assignement 6 Group no meeting |
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| 14 |
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Additional Topics - |
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Additional Topics - |
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| 15 |
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Review |
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No meeting - Final Exam |
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| 16 |
Final Week |
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