In this article, a new method is proposed for clustering longitudinal curves. In the proposed
method, clusters of mean functions are identified through a weighted concave pairwise …

We propose a new approach for estimating the state-level direct and indirect economic cost
of obesity in the United States for the time period 1996 to 2018. Our unique top-down …

The research area of scan statistics has seen a tremendous growth in the last 25 years. The
modern development of this active area of research originated from the seminal work of …

Motivated by a product warranty claims dataset, we propose clustered coefficient regression
models in a nonhomogeneous Poisson process for recurrent event data. The proposed …

Assessing aquatic toxicity assessment via a clustered variance model Page 1 The Annals of
Applied Statistics 2024, Vol. 18, No. 3, 2342–2358 https://doi.org/10.1214/24-AOAS1884 © …

Public health surveillance stratifies populations into age groups to help identify threats and
provide appropriate responses. However, there is considerable variation in the age …

In this chapter, we review the testing procedures that have been investigated in the scientific
literature for detecting a local change in the parameters of a normal distribution, for one-and …

Background Obesity is a multisystem disease process that confers increased surgical risk. In
patients who are not surgical candidates for breast reconstruction with implants/tissue …

Current methods for clustering adult obesity prevalence by state focus on creating a single
map of obesity prevalence for a given year in the United States. Comparing these maps for …

In this article, a new method, called FWP, is proposed for clustering longitudinal curves. In
the proposed method, clusters of mean functions are identified through a weighted concave …