The development and application of models, which take the evolution of network dynamics into account, are receiving increasing attention. We contribute to this field and focus on a profile likelihood approach to model time-stamped event data for a large-scale dynamic network. We investigate the...

Among nonparametric smoothers, there is a well-known correspondence between kernel and Fourier series methods, pivoted by the Fourier transform of the kernel. This suggests a similar relationship between kernel and spline estimators. A known special case is the result of Silverman (1984) on the...

Unemployment is a central issue in modern economies and its analysis and investigation consists of two aspects. First, what is the risk of getting unemployed based on economic, local and individual characteristics and second, what is the chance of getting reemployed. In this paper we focus on...

Literature has documented tremendous changes in classical regression analysis techniques since 1980s. The drawbacks of simple and multiple parametric regression analyses on model specifications and the non-robust assumption of error terms followed by the introduction of a series of diagnostic...

Over the last ten years, the modal age at death has become a focus of research on human longevity, notably because it provides information about the most frequent adult age at death without being influenced by mortality conditions at early ages. Little is known about levels and trends in adult...

Since the beginning of the twentieth century, important transformations have occurred in the age-at-death distribution within human populations. We propose a flexible nonparametric smoothing approach based on P-splines to refine the monitoring of these changes. Using data from the Human...