Welcome to my site. I am an Associate Professor in the Department of Child and
Adolescent Psychiatry, New York University School of Medicine, and a Research Scientist
at the Nathan S. Kline Institute for Psychiatric Research. I received my PhD in
Biostatistics from Columbia University in 2006. The following sources of support for my
research are gratefully acknowledged: National Institute of Mental Health grant 1 F31
MH73379-01 A1 (Jun. 16, 2005-July 31, 2006); National Science Foundation grant
DMS-0907017 (Aug. 1, 2009-July 31, 2012); National Institute of Biomedical Imaging and
Bioengineering grant 1R01EB009744-01A (PI Ogden) (July 1, 2010-March 1, 2013); National
Institute of Mental Health grant 1R01MH095836-01A1 (Aug. 1, 2012-Apr. 30, 2017). My
department at NYU is also known as the Child Study Center; for further information about
me, please see my page on the Child Study Center website, at
http://www.aboutourkids.org/about_us/staff/research_faculty/philip_reiss 

NEWS: I am currently recruiting for a 2- or 3-year NIMH-funded postdoctoral fellowship,
beginning in September 2014. Please contact me for further details. 

Articles

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Massively Parallel Nonparametric Regression, with an Application to Developmental Brain Mapping (with Lei Huang, Yin-Hsiu Chen, Lan Huo, Thaddeus Tarpey, and Maarten Mennes), Journal of Computational and Graphical Statistics (2014)

We propose a penalized spline approach to performing large numbers of parallel nonparametric analyses of...

 

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Optimally Weighted L^2 Distance for Functional Data (with Huaihou Chen and Thaddeus Tarpey), Biometrics (2014)

Many techniques of functional data analysis require choosing a measure of distance between functions, with...

 

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Paradoxical Results of Adaptive False Discovery Rate Procedures in Neuroimaging Studies (with Armin Schwartzman, Feihan Lu, Lei Huang, and Erika Proal), NeuroImage (2012)

Adaptive false discovery rate (FDR) procedures, which offer greater power than the original FDR procedure...

 

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Smoothness Selection for Penalized Quantile Regression Splines (with Lei Huang), International Journal of Biostatistics (2012)

Modern data-rich analyses may call for fitting a large number of nonparametric quantile regressions. For...

 

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Resampling-Based Information Criteria for Best-Subset Regression (with Lei Huang, Joseph E. Cavanaugh, and Amy Krain Roy), Annals of the Institute of Statistical Mathematics (2012)

When a linear model is chosen by searching for the best subset among a set...

 

Unpublished Papers

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Varying-Smoother Models for Functional Responses (with Lei Huang, Huaihou Chen, and Stan Colcombe) (2013)

This paper studies estimation of a smooth function f(x,v) when we are given functional responses...

 

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Wavelet-Domain Regression with Image Predictors, and a Surprising (Non-)Result in Psychiatric Neuroimaging (with Lan Huo, R. Todd Ogden, Yihong Zhao, and Clare Kelly) (2013)

We present a set of procedures for fitting generalized linear models with scalar responses and...

 

Presentations

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Function-on-Scalar Regression with the refund Package, Joint Statistical Meetings (2012)
 

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Semiparametric Methods for Mapping Brain Development (with Yin-Hsiu Chen and Lan Huo), Thomas R. Ten Have Symposium on Statistics in Psychiatry (2012)
 

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Introducing Functional Data Analysis to Neuroimaging, and Vice Versa, Cornell University Statistics Seminar (2011)
 

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Massively Parallel Nonparametrics [HDS 2011 slides] (with Lei Huang), High-Dimensional Statistics: Advances and Challenges (2011)
 

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Flexible Dependence of Functional Responses on Scalar Predictors (with Lei Huang), International Biometric Society Eastern North America Region Spring Meeting (2011)
 

Thesis

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Regression with Signals and Images as Predictors (2006)

Signal regression and image regression, in which the outcomes are scalars and the predictors are...