[HTML][HTML] Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms
J Swait - Journal of choice modelling, 2023 - Elsevier
When estimating random coefficients models from choice data, decisions relating to the
multivariate density function assumed to describe preference heterogeneity across the …
multivariate density function assumed to describe preference heterogeneity across the …
Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms
J Swait - Journal of choice modelling, 2023 - econpapers.repec.org
When estimating random coefficients models from choice data, decisions relating to the
multivariate density function assumed to describe preference heterogeneity across the …
multivariate density function assumed to describe preference heterogeneity across the …
Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms
J Swait - Journal of choice modelling, 2023 - ideas.repec.org
When estimating random coefficients models from choice data, decisions relating to the
multivariate density function assumed to describe preference heterogeneity across the …
multivariate density function assumed to describe preference heterogeneity across the …