# 33 Forecasting Interview Questions (Time Series Analysis)

2 min readApr 16, 2022

- What is Moving Average?
- What is Auto Regression (AR)?
- What is the difference between ARMA and ARIMA?
- Can you explain RNN and LSTM, and when you use each for TSA?
- Can you explain Dynamic Time Warping?
- Can you explain the Hidden Markov Model?
- How would you evaluate a time series forecasting model?
- What is the Sliding Window method for Time Series Forecasting?
- Can you explain Backward Shift and Difference Operators?
- How the IQR (Interquartile Range) is used in Time Series Forecasting?
- what methods will you use to measure the similarity/difference between two time-series vectors?
- Can Non-Sequential Deep Learning Models outperform Sequential Models in Time-Series Forecasting?
- Can you list some Forecasting methods for Stationary and Non-stationary Time-Series?
- How do you Normalise Time-Series Data?
- How is Pearson Correlation used with Time Series? What are its assumptions and limitations?
- What does it mean to have zero Pearson Correlation?
- What is cross-correlation?