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Machine Learning

Time Series Analysis and Forecasting

Interview questions on Time Series Analysis and Forecasting.

18 questions

Benchmark Forecasting Methods

Q1. What are some simple forecasting methods?

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Benchmark Forecasting Methods

Q2. Explain mean method in time series forecasting?

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Benchmark Forecasting Methods

Q3. How does naive method works in forecasting?

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Benchmark Forecasting Methods

Q4. How does seasonal naive method works in forecasting?

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Benchmark Forecasting Methods

Q5. How does drift method works in forecasting?

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Benchmark Forecasting Methods

Q6. What do you mean by residual in time series model?

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Benchmark Forecasting Methods

Q7. What properties should innovation residuals have to indicate a good forecasting method?

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Benchmark Forecasting Methods

Q8. What properties should innovation residuals have to indicate a good forecasting method? (Part 2)

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Benchmark Forecasting Methods

Q9. How do you determine the prediction interval for forecasted values?

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Benchmark Forecasting Methods

Q10. How do you determine the prediction interval for forecasted values? (Part 2)

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Benchmark Forecasting Methods

Q11. Express the standard deviation of the forecast distribution in case of one step prediction?

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Benchmark Forecasting Methods

Q12. What happens with prediction intervals in case of multi-step forecasting?

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Benchmark Forecasting Methods

Q13. For benchmark methods write the standard deviation expression for h-step forecast distribution?

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Benchmark Forecasting Methods

Q14. If the residuals from a fitted forecasting model do not exhibit a normal distribution, how would you establish prediction intervals for the forecasted values?

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Benchmark Forecasting Methods

Q15. Can time series decomposition be utilized for forecasting, and if so, what is the method for doing so?

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Benchmark Forecasting Methods

Q16. How does forecast errors differ from residuals?

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Benchmark Forecasting Methods

Q17. What are different techniques for measuring forecast accuracy?

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Benchmark Forecasting Methods

Q18. Is it feasible to apply the cross-validation technique to evaluate the accuracy of forecasts?

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