Siamak Noorbaloochi
Siamak Norbaloochi, PhD (biostatistician) is currently interested in unsupervised informative dimension reduction. In addition to providing statistical support for Center projects, Dr. Noorbaloochi is also working on curse of language on statistical inference and foundational issues of deconfounding.
CURRENT POSITIONS RESEARCH INTERESTS EDUCATION CONTACT INFO Check out a full publication list on Google Scholar. Noorbaloochi, Siamak. Meeden, Glen. On Being Bayes and Unbiasedness. Sankhya A, (2017) pp 1-16. doi:10.1007/s13171-017-0097-3 Pourahmadi, Mohsen; Noorbaloochi, Siamak. Multivariate time series analysis of neuroscience data: some challenges and opportunities. Current opinion in neurobiology. (2016) 37, 12-16. Nelson, David; Noorbaloochi, Siamak Splice plots for generalized linear models. Comm. Statist. Theory Methods 45 (2016), no. 12, 3524–3540. Meeden, Glen; Noorbaloochi, Siamak Hypotheses testing as a fuzzy set estimation problem. Comm. Statist. Theory Methods 42 (2013), no. 10, 1806–1820. Nelson, David; Noorbaloochi, Siamak Information preserving sufficient summaries for dimension reduction. J. Multivariate Anal. 115 (2013), 347–358. 62G99 (62B05 62H99) Meeden, Glen; Noorbaloochi, Siamak. Ordered designs and Bayesian inference in survey sampling. Sankhya A. 72 (2010), no. 1, 119–135. Noorbaloochi, Siamak; Nelson, David; Asgharian, Masoud. Balancing and elimination of nuisance variables. Int. J. Biostat. 6 (2010), no. 2, Art. 6, 22 pp. Nelson, David; Noorbaloochi, Siamak, Dimension reduction summaries for balanced contrasts. J. Statist. Plann. Inference 139 (2009), no. 2, 617–628. Noorbaloochi, Siamak; Nelson, David Conditionally specified models and dimension reduction in the exponential families. J. Multivariate Anal. 99 (2008), no. 8, 1574–1589. VA RESEARCH TOPICS |