If the intensity parameter in a jump diffusion model is identically zero, then parameters characterizing the jump size … against path dependent intensity, thus providing a direct test for the Hawkes diffusion model of Ait-Sahalia, Cacho-Diaz and …

demand. This challenge is addressed using a choice-diffusion model to forecast PV and battery storage uptake to 2025 for a …

In this paper, we derive an easily computed approximation to European basket call prices for a local volatility jump-diffusion … model. We apply the asymptotic expansion method to find the approximate value of the lower bound of European basket call …

-term demand forecasting. This study develops a diffusion model that incorporates the effect of competitive interrelationships … on the Bayus, (1993. Manage. Sci. 39, 11, 1319–1333) price function and a diffusion model suggested by Hahn et al. (1994 …

use the innovation diffusion model to forecast the sales volume for these four technologies in Taiwan over the next 10 …

choice experiments and an innovation diffusion model. The primary objective of this research is cohesively mapping the theory … adoption time probabilities using the Bass diffusion model. The data was collected from Ontario, a province of Canada. The … innovation diffusion model allows us to compute the cumulative probability of adoption over time per household. Technology …

of retrofit packages across building stock over time. To address this challenge a diffusion model was set up and applied … for the diffusion model, which ranged from inexpensive services and manuals through to mid-priced packages involving …