36 citations · 63 across the 7 of their papers we have counts for
7 papers
Continuous-time multivariate analysis
Biplab Paul, Philip T. Reiss, Erjia Cui +1
The starting point for much of multivariate analysis (MVA) is an data matrix whose rows represent observations and whose columns represent variables. Some multi…
Generalized reliability based on distances
Meng Xu, Philip T. Reiss, Ivor Cribben
The intraclass correlation coefficient (ICC) is a classical index of measurement reliability. With the advent of new and complex types of data for which the ICC is not defined, the…
Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses
Meng Xu, Philip T. Reiss
Graphical tests assess whether a function of interest departs from an envelope of functions generated under a simulated null distribution. This approach originated in spatial stati…
Interpretable High-Dimensional Inference Via Score Projection with an Application in Neuroimaging
Simon N. Vandekar, Philip T. Reiss, Russell T. Shinohara
In the fields of neuroimaging and genetics, a key goal is testing the association of a single outcome with a very high-dimensional imaging or genetic variable. Often, summary measu…
Wavelet-domain regression and predictive inference in psychiatric neuroimaging
Philip T. Reiss, Lan Huo, Yihong Zhao +2
An increasingly important goal of psychiatry is the use of brain imaging data to develop predictive models. Here we present two contributions to statistical methodology for this pu…
Varying-smoother models for functional responses
Philip T. Reiss, Lei Huang, Huaihou Chen +1
This paper studies estimation of a smooth function when we are given functional responses of the form + error, but scientific interest centers on the collecti…
Optimal Kernel Combination for Test of Independence against Local Alternatives
Wen-Yu Hua, Philip Reiss, Debashis Ghosh
Testing the independence between two random variables and is an important problem in statistics and machine learning, where the kernel-based tests of independence is focuse…