Abstract: Advanced shape analysis studies such as regression and classification need to be performed on curved manifolds, where often, there is a lack of standard statistical formulations. To overcome ...

We investigate a longitudinal data model with non-parametric regression functions that may vary across the observed individuals. In a variety of applications, it is natural to impose a group structure ...

We investigate a nonparametric panel model with heterogeneous regression functions. In a variety of applications, it is natural to impose a group structure on the regression curves. Specifically, we ...

Abstract: Gaussian Processes (GPs) are powerful nonparametric distributions over ... However, in other cases, such as classification, preference learning, ordinal regression and mixed problems, the ...

Bayesian field theory denotes a nonparametric Bayesian approach for learning functions ... models discussed in the paper are those of general density estimation, Gaussian regression, clustering, ...

docker build -t spam . docker run --rm --user root -e NB_UID=$(id -u) -p 8888:8888 -v "$(pwd)":/opt/local/work spam ...

In this article, you will learn the difference between regression and classification models, the pros and cons of each, and some tips to select the best one for your data and goals. Regression ...