The estimation of generalized extreme value models from choice-based samples

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Normalization and correlation of crossnested logit models (2007, background): “Also, standard corrections of the constants, accounting for selection bias in the sample (see e.g. Bierlaire et al., 2006), would not apply as such.”
STRATEGIC SAMPLING FOR LARGE CHOICE SETS IN ESTIMATION AND APPLICATION (2012, methodology): “Finally, it appears that only a single iteration of the new strategy (following the initialization step using SRS) is needed to deliver the strategy’s maximum efficiency gains.”
Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models (2011, background): “Choice-based samples usually are collected by stratifying the data to obtain better information about alternatives that are infrequently chosen in the population when a random sample is not large enough for effective statistical analysis (22).”
Choice Probability Generating Functions (2012, background): “Papers that deal with choice-probability generating functions for nested logit and what econometricians term generalized extreme value models are McFadden (1978), Daly and Bierlaire (2006) and Bierlaire et al. (2008).”