STAT GR5221 Time Series Analysis · Statistics
Rating4.1/5 Ratings57 Written reviews10 WorkloadLight DepartmentStatistics Instructors3 Prerequisites: STAT GR5205 Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the…
Who teaches STAT GR5221 What students said Gabriel Young · 2023 · 2023
AR, MA, ARMA, Y-W Equation, Innovation algorithm
Rongning Wu · 2026 · 2026
I learned basic time series models. got an overview of how to build a time series model using R.
Gabriel Young · 2023 · 2023
Time Series Models like AR, MA, ARMA and etc.
Franz Rembart · 2025 · 2025
In-depth times series analysis, heavily focused on the theoretical aspect.
Gabriel Young · 2023 · 2023
This course covers basic concepts of time series, including (Seasonal) ARIMA, Yule-Walker estimation and Maximum Likelihood Estimations.
Franz Rembart · 2025 · 2025
Adequate materials and reasonably-hard topics
Rongning Wu · 2026 · 2026
Comprehensive knowledge about time series
Gabriel Young · 2023 · 2023
Time series analysis. MA, AR, ARMA, ARIMA model, innovation algorithm, etc..
Franz Rembart · 2025 · 2025
Basic knowledge about time series analysis.
Rongning Wu · 2026 · 2026
Different TS models and concepts in theory and mathematic formulas and how to determine what model is acceptable
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