This is interesting. As Quants we can distinguish problem classes suited for1. causal inference. global macro, CPI, treasury yield, central bank liquidity, game theory crisis resolution models, Q-Learning, SARSA etc.2. point in time inference. Signals, Alpha generationhttps://www.pitinference.com/#problem I'd think that Point In Time inference has many more use cases besides Alpha generation. Because you lose the lookahead bias problem. In general.#model #quant #finance
