- Machine Learning
- Functional Data Analysis and Skewed Distributions
- M. Maadooliat, L. Zhou, S. M. Najibi, X. Gao and J. Z. Huang,
"Collective estimation of multiple bivariate density functions with application to angular-sampling-based protein loop modeling", Journal of the American Statistical Association (Accepted)
- H.M. Kim, M. Maadooliat , R.B.
Arellano-Valle and M.G. Genton, "Skewed factor models using selection
mechanism", Journal of Multivariate Analysis, Vol.145, 162-177, (2016)
- N. K. Bansal, G. G. Hamedani and M.
Maadooliat, "Testing multiple hypotheses with skewed alternatives", Biometrics (Accepted)
- M. Maadooliat, J. Z. Huang and J. Hu,
"Integrating data transformation in principal components analysis",
Journal of Computational and Graphical Statistics, Vol.24, No.1, 84-103, (2015)
- L. Chen, M.
Pourahmadi and M. Maadooliat,
"Regularized multivariate regression models with skew-t error distributions
", Journal of Statistical Planning and Inference,
Vol.149, 125-139, (2014)
Maadooliat, X. Gao and J. Z. Huang,
protein conformational sampling methods based on bivariate
lag-distributions of backbone angles", Briefings