A High-dimensional Multinomial Logit Model
The number of parameters in a standard multinomial logit model increases linearly with the number of choice alternatives and number of explanatory variables. Since many modern applications involve large choice sets with categorical explanatory variables, which enter the model as large sets of binary dummies, the number of parameters in a multinomial ...
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Learning Mixed Multinomial Logit Models
Multinomial logit (MNL) model is widely used to predict the probabilities of different outcomes. However, standard MNL model suffers from several issues, including but not limited to heterogeneous population, the restricted independence of irrelevant alternative (IIA) assumption, insufficient model capacity, etc.
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A Self-consistency Approach to Multinomial Logit Model with Random Effects. [PDF]
Wang S, Tsodikov A.
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The role of professional networks and institutional prestige in shaping the first career moves of scholars. [PDF]
Rottenkolber A +6 more
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Stage-specific cancer incidence: an artificially mixed multinomial logit model. [PDF]
Chefo S, Tsodikov A.
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Mapping the mRS Into the EQ-5D-5L in Patients With Ischemic Stroke. [PDF]
Pinckaers FME +12 more
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Optimal designs for discrete-time survival models with competing risks. [PDF]
Zhou X, Wang Y, Yue R, Wong WK.
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Ethnicity, gender, and social class in Honduras: an analysis using the permanent household survey. [PDF]
Ney Simons S +6 more
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Comparison of methods to handle missing values in a binary index test in a diagnostic accuracy study - a simulation study. [PDF]
Juljugin D, Stahlmann K, Zapf A.
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Assessing the American public's preferences for reforms to teen driving licensure systems: a discrete choice experiment. [PDF]
Drabo EF, Michael JP, Ehsani JP.
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