Functional data analysis (FDA) is a fast-growing area of research and development in
statistics. While most FDA literature imposes the classical L 2 Hilbert structure on function …

This paper considers linear regression models when neither the response variable nor the
covariates can be directly observed, but are measured with multiplicative distortion …

An abundance of complex dynamical phenomena exists in nature and human society,
requiring sophisticated analytical tools to understand and explain. Causal analysis through …

Abstract White-Nose Syndrome (WNS) is a wildlife disease that has decimated hibernating
bats since its introduction in North America in 2006. As the disease spreads westward …

Quantifying the association between components of multivariate random curves is of general
interest and is a ubiquitous and basic problem that can be addressed with functional data …

Dynamic interactions among several stochastic processes are common in many scientific
fields. It is crucial to model these interactions to understand the dynamic relationship of the …

Statistical inference for time series such as curve estimation for time-varying models or
testing for existence of change-point have garnered significant attention. However, these …

Stationary GARCH-MIDAS models encounter challenges in effectively capturing the
dynamic impact of realized volatility on crude oil price volatility. This study introduces a novel …

Nonlinear dynamic modeling of spatio-temporal data is often a challenge, especially due to
irregularly observed locations and location-wide nonstationarity. In this article we propose a …

The objectives of this study are twofold; to explore the structural break (s) in the time series
of the US firms' cash ratio, and, to examine the sensitivity of cash to firm characteristics …