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The term "self-consistency" was introduced in 1989 by Hastie and Stuetzle to describe the property that each point on a smooth curve or surface is the mean of all points that project orthogonally… (More)

- Thaddeus Tarpey
- 2000

Abstract There is a well-known simple formula for computing prediction sum of squares (PRESS) residuals in a regression problem without having to refit the curve for each observation. This note shows… (More)

- Thaddeus Tarpey, Kimberly K. J. Kinateder
- J. Classification
- 2003

The problem of clustering functional data is addressed. Results on principal points (cluster means for probability distributions) are given for functional Gaussian distributions. Examples and… (More)

- Thaddeus Tarpey, Eva Petkova
- Statistical modelling
- 2010

Finite mixture models have come to play a very prominent role in modelling data. The finite mixture model is predicated on the assumption that distinct latent groups exist in the population. The… (More)

- Adam J Ciarleglio, Eva Petkova, R. Todd Ogden, Thaddeus Tarpey
- Biometrics
- 2015

The amount and complexity of patient-level data being collected in randomized-controlled trials offer both opportunities and challenges for developing personalized rules for assigning treatment for a… (More)

- Richard D. Sanders, Daniel N. Allen, Steven D. Forman, Thaddeus Tarpey, Gérald Goldstein
- Psychiatry Research
- 2005

Factor structure of the Neurological Evaluation Scale (NES) was evaluated in 95 unmedicated patients with schizophrenia using confirmatory factor analysis (CFA). CFA was used to test four competing… (More)

- Thaddeus Tarpey
- The American statistician
- 2007

Functional data can be clustered by plugging estimated regression coefficients from individual curves into the k-means algorithm. Clustering results can differ depending on how the curves are fit to… (More)

- Gérald Goldstein, Richard D. Sanders, Steven D. Forman, Thaddeus Tarpey, Matcheri S. Keshavan
- Schizophrenia Research
- 2005

This study extends a previous study of the factor structure of the neurologic examination in unmedicated schizophrenia, utilizing cluster analysis and adding a medicated condition. We administered a… (More)

The k principal points of a p-variate random vector X are those points ξ 1 ,..., ξ k ∈ R p which approximate the distribution of X by minimizing the expected squared distance of X from the nearest of… (More)

- Thaddeus Tarpey, Eva Petkova, Yimeng Lu, Usha S Govindarajulu
- Journal of the American Statistical Association
- 2010

A long-standing problem in clinical research is distinguishing drug treated subjects that respond due to specific effects of the drug from those that respond to non-specific (or placebo) effects of… (More)