The Volume-of-Tubes Formula: Computational Methods and Statistical Applications
Catherine Loader
Abstract
The volume-of-tube formula was first introduced by Hotelling (1939), to solve significance of terms in nonlinear regression models. Since this pioneering paper, there has been significant work on extending the tube formula to more general settings, including multidimensional problems, and many new applications in statistical inference, including confidence bands in regression and smoothing models; applications to functional data analysis; testing in mixture models; and spatial scan analysis. Implementation of the tube formula requires numerical evaluation of certain problem-specific geometric constants that appear in Hotelling's formula and its extensions. The purpose of this note is to describe a software library, libtube, that performs the calculations. A variety of illustrative examples are given. Source code for the libtube library andexamples can be downloaded from http://www.herine.net/stat/libtube/.
Create a lesson
Related papers
Conformal Prediction Through the Lens of Hypothesis Testing: Universality, Impossibility, and Optimality
Ryan J. Tibshirani, Rina Foygel Barber, Aaditya Ramdas
Connecting Riemannian Geometry and Statistical Inference for Correlation Matrices
Argyn Kuketayev
How far can symmetry help? Phase transitions and symmetry selection in sparse functional data analysis
Jocelyn Nembe
Posterior consistency for subdiffusion inverse problems
Haoyu Lu, Shaokang Zu, Junxiong Jia
Dimension comparison for Student's statistic under symmetric unimodality
Jacopo Lenzi
Statistical Properties of Nonparametric MLE under Laplace Noise
Yifei Xiong, Nianqiao Phyllis Ju, Vinayak Rao