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Machine Learning

Time Series Analysis and Forecasting

Interview questions on Time Series Analysis and Forecasting.

5 questions

All subtopics Introduction Time Series Graphics Time Series Decomposition Benchmark Forecasting Methods Time Series Regression Models Exponential Smoothing ARIMA Models Dynamic regression models Prophet Model Vector Autoregressions

Vector Autoregressions

Q1. What is vector autoregression?

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Vector Autoregressions

Q2. How does the VAR model address stationarity and non-stationarity in time series data?

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Vector Autoregressions

Q3. Write the governing equation of 2-dimensional VAR(1) model?

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Vector Autoregressions

Q4. What are the challenges of dealing with weekly, daily and sub-daily data?

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Vector Autoregressions

Q5. How to handle missing values in time series?

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