With the advance of modern technology, more and more data are being recorded
continuously during a time interval or intermittently at several discrete time points. These are …

Instrument automation, technological advancements and improved computational power
made separation science an extremely data-rich approach, requiring the use of statistical …

Function and shape data analysis are old topics in statistics, studied off and on over the last
several decades. However, the early years of the new millennium saw a renewed focus and …

The abundance of functional observations in scientific endeavors has led to a significant
development in tools for functional data analysis (FDA). This kind of data comes with several …

Recent developments in the probabilistic and statistical analysis of probability density
functions are reviewed. Density functions are treated as data objects for which suitable …

We consider the statistical analysis of trajectories on Riemannian manifolds that are
observed under arbitrary temporal evolutions. Past methods rely on cross-sectional analysis …

Amplitude and phase variation of point processes Page 1 The Annals of Statistics 2016, Vol.
44, No. 2, 771–812 DOI: 10.1214/15-AOS1387 © Institute of Mathematical Statistics, 2016 …

The central extended amygdala (EAc)—including the bed nucleus of the stria terminalis
(BST) and central nucleus of the amygdala (Ce)—plays a critical role in triggering fear and …

Data analysis and modeling are very important in structural health monitoring. A good model
is very conducive to better understanding, interpretation, estimation or prediction of structural …

Synthesizing complex nanostructures and assemblies in experiments involves careful tuning
of design factors to obtain a suitable set of reaction conditions. In this paper, we study the …