What is the difference between linear probability model logit and probit model?

Could you elaborate on the key distinctions between the linear probability model, the logit model, and the probit model? Specifically, how do they differ in their assumptions, the types of data they are best suited for, and the interpretations of their coefficients? Additionally, what are some of the practical implications of choosing one model over the others in the context of economic and financial analysis?