StatsAI

Exponential smoothing forecast
ARIMA forecast

StatsAI

Use Case Title: AI for statistical research experiments

Description: Research is about getting insights from statistical experiments, not about conducting the experiments itself. Let’s use AI!

Tutorial for Use and Best Practices:

Initiating the Conversation with ChatGPT Type into ChatGPT: “Hello! I want a (mention the model) for Covid-19 prediction of (location). I want you to use the (programming language package) library and i will be providing you with the (column names). The data is in (mention the data type). The columns:(X Y Z) Also, provide me with the historical forecast of all the states, stating the error analysis, and split them into training and testing dataset”.

Best Practices:

You should provide the structure of the dataset, ask it to modify and preprocess.
You can mention the model and the library or packages you want to use in the forecasting.

Impacts on Learning: Positive Impacts: You can save time for simple statistical experiments. For example: Forecasting of data. Focus more about getting insights rather than performing experiments. Limitations: The code generated is sometimes faulty. The code may introduce bias towards testing on the training data and other commonly known research blunders.

Ethical Considerations: Since, one is publishing research papers out of this outcome, one must ensure that there isn't any bias introduced by the AI. Confidential information like the entire dataset must not be added into the AI.

Link to an Example: link