サプライチェーンの問題

質問

Explain the difference between time series methods and casual modeling approaches in quantitative forecasting approaches?

回答No.1

cincinnati

As the term "time series method" indicates, it is often seen in the world of physics or sociology, etc. that a phenomenon will be presented with a specific numerical value after a certain period of time, so for example, a society in the next few years the researcher could see how the situation has changed. I think this method it's quite convenient and reliable to predict the situation.
Also, I think the term "casual modeling approach" is an idea to make an approximate model or mathematical formula in advance for a phenomenon to be predicted, and input the passage of time or other relevant data as numerical values into the model. I think that the model made is calculated and used as the prediction for the future event.