期刊
JOURNAL OF MATHEMATICAL PSYCHOLOGY
卷 47, 期 3, 页码 304-322出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/S0022-2496(03)00003-8
关键词
diffusion models; Wiener process; Ornstein-Uhlenbeck process; Markov chains
Diffusion processes (e.g., Wiener process, Ornstein-Uhlenbeck process) are powerful approaches to model human information processes in a variety of psychological tasks. Lack of mathematical tractability, however, has prevented broad applications of these models to empirical data. This tutorial explains step by step, using a matrix approach, how to construct these models, how to implement them on a computer, and how to calculate the predictions made by these models. In particular, we present models for binaries choices for unidimensional and multiattribute choice alternatives; for simple reaction time tasks; and for three alternatives choice problems. (C) 2003 Elsevier Science (USA). All rights reserved.
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