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Improving prelaunch diffusion forecasts : using synthetic networks as simulated priors

Trusov, Michael; Rand, William; Joshi, Yogesh V. - In: Journal of marketing research : JMR 50 (2013) 6, pp. 675-690

Persistent link: https://www.econbiz.de/10010233193

Forecasting adoption of ultra-low-emission vehicles using bayes estimates of a multinomial probit model and the GHK simulator

Daziano, Ricardo A.; Achtnicht, Martin - In: Transportation science : a journal of the Institute for … 48 (2014) 4, pp. 671-683

Persistent link: https://www.econbiz.de/10010464851

Forecasting the adoption of residential ductless heat pumps

Hlavinka, Alexander N.; Mjelde, James W.; Dharmasena, … - In: Energy economics 54 (2016), pp. 60-67

Persistent link: https://www.econbiz.de/10011662742

Static and dynamic models for multivariate distribution forecasts : proper scoring rule tests of factor-quantile versus multivariate GARCH models

Alexander, Carol; Han, Yang; Meng, Xiaochun - In: International journal of forecasting 39 (2023) 3, pp. 1078-1096

Persistent link: https://www.econbiz.de/10014465245

Forecasting Adoption of Ultra-Low-Emission Vehicles Using the GHK Simulator and Bayes Estimates of a Multinomial Probit Model

Daziano, Ricardo; Achtnicht, Martin - 2014

In this paper we use Bayes estimates of a multinomial probit model with fully flexible substitution patterns to forecast consumer response to ultra-low-emission vehicles. In this empirical application of the probit Gibbs sampler, we use stated-preference data on vehicle choice from a...

Persistent link: https://www.econbiz.de/10014172337