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Applications of random-parameter logit models can be found in various disciplines. These models have non-concave simulated likelihood functions and the choice of starting values is therefore crucial ...
James W. Taylor, Keming Yu, Using auto-regressive logit models to forecast the exceedance probability for financial risk management, Journal of the Royal Statistical Society.
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