18 citations · 30 across the 8 of their papers we have counts for
9 papers
Using online student focus groups in the development of new educational resources
Gian Carlo Diluvi, Sonja Isberg, Bruce Dunham +2
Educational resources, such as web apps and self-directed tutorials, have become popular tools for teaching and active learning. Ideally, students - the intended users of these res…
Modelling multi-scale state-switching functional data with hidden Markov models
Evan Sidrow, Nancy Heckman, Sarah M. E. Fortune +3
Data sets comprised of sequences of curves sampled at high frequencies in time are increasingly common in practice, but they can exhibit complicated dependence structures that cann…
Dimensional Analysis in Statistical Modelling
Tae Yoon Lee, James V. Zidek, Nancy Heckman
Building on recent work in statistical science, the paper presents a theory for modelling natural phenomena that unifies physical and statistical paradigms based on the underlying…
Model-based curve registration via stochastic approximation EM algorithm
Eric Fu, Nancy Heckman
Functional data often exhibit both amplitude and phase variation around a common base shape, with phase variation represented by a so called warping function. The process removing…
Switching nonparametric regression models for multi-curve data
Camila P. E. de Souza, Nancy E. Heckman, Helena Xu
We develop and apply an approach for analyzing multi-curve data where each curve is driven by a latent state process. The state at any particular point determines a smooth function…
Analysis of Aggregated Functional Data from Mixed Populations with Application to Energy Consumption
Amanda Lenzi, Camila P. E. de Souza, Ronaldo Dias +2
Understanding the energy consumption patterns of different types of consumers is essential in any planning of energy distribution. However, obtaining consumption information for si…
Visualizing genetic constraints
Travis L. Gaydos, Nancy E. Heckman, Mark Kirkpatrick +4
Principal Components Analysis (PCA) is a common way to study the sources of variation in a high-dimensional data set. Typically, the leading principal components are used to unders…
Switching Nonparametric Regression Models and the Motorcycle Data revisited
Camila P. E. de Souza, Nancy E. Heckman
We propose a methodology to analyze data arising from a curve that, over its domain, switches among J states. We consider a sequence of response variables, where each response y de…
The theory and application of penalized methods or Reproducing Kernel Hilbert Spaces made easy
Nancy Heckman
The popular cubic smoothing spline estimate of a regression function arises as the minimizer of the penalized sum of squares , wher…