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Hao Wu

assistant professor


Ph.D. Ohio State University, 2010

Office: McGuinn 501
Phone: 617-552-0793

Scholarly Interests: Hao Wu's research interest lies in the evaluation of statistical models in psychology. Relying on tools such as classical asymptotic theories, Bayesian statistics and information theoretic methodologies, he is particularly interested in issues such as how to compare multiple statistical models, how to account for the fact that models are not exactly true in reality, and how to handle nonlinear relations or non-normal distributions.

Academic Profile:

Typically offered courses

Curriculum Vitae*

Office Hours*

PSYC1126 Statistics and Research Methods (Honors)
PSYC5501 Experimental Design and Statistics
PSYC6605 Introduction to Multivariate Statistics

Representative Publications

Dong, L., Wu, H. and Waldman, I. (accepted). Measurement and structural invariance of the antisocial process screening device. Psychological Assessment.

Wu, H. and Neale, M. C. (2013). On the likelihood ratio tests in bivariate ACDE models. Psychometrika, 78(3), 441-463.

Wu, H. and Neale, M. C. (2012). Adjusted confidence intervals for a bounded parameter. Behavior Genetics, 42, 886-898.

Wu, H., Myung, I. J. and Batchelder, W. H. (2010a). Minimum description length model selection of multinomial processing tree models. Psychonomic Bulletin and Review, 17, 275-286.

Wu, H., Myung, I. J. and Batchelder, W. H. (2010b). On the complexity of multinomial processing tree models. Journal of Mathematical Psychology, 54, 291–303.

*Please note: These files are Adobe Acrobat® (PDF) formatted files. To view them, you will need the free Adobe Acrobat file reader.