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Machine Learning

Time Series Analysis and Forecasting

Interview questions on Time Series Analysis and Forecasting.

8 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

Time Series Regression Models

Q1. What assumptions do we make when using a linear regression model for forecasting?

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Time Series Regression Models

Q2. Explain least squares principle?

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Time Series Regression Models

Q3. What are some typical predictors used in time series regression models?

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Time Series Regression Models

Q4. What is Akaike's Information Criterion (AIC)?

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Time Series Regression Models

Q5. How can the AIC score be interpreted?

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Time Series Regression Models

Q6. Why do we need to adjust bias in AIC score?

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Time Series Regression Models

Q7. What is Bayesian Information Criterion (BIC)?

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Time Series Regression Models

Q8. How does AIC differs from BIC?

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