Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPU
Abstract
Computational modeling plays an important role in a gamut of research fields. In affect research, continuous-time stochastic models are becoming increasingly popular. Recently, a non-linear, continuous-time, stochastic model has been introduced for affect dynamics, called the Affective Ising Model (AIM). The drawback of non-linear models like the AIM is that they generally come with serious computational challenges for parameter estimation and...
Paper Details
Title
Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPU
Published Date
Sep 24, 2021
Journal
Volume
54
Issue
3
Pages
1428 - 1443
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