Which ML, Statistical, and Time-Series Models Are Most Useful in Quant Research Today?
• Which models do you use most frequently, and for what tasks?
• Which models have delivered the most practical value versus being primarily academic?
• How important are classical statistical models compared to modern ML methods?
• Are tree-based models still dominant, or is deep learning becoming more prevalent?
• If you were starting over today, which models would you prioritize learning?
Industry practitioners are invited to comment on any of the above. Thanks in advance.