Eurodac is a centralised EU database that collects and processes the digitalised fingerprints of asylum seekers. Set up in 2003, it is currently used by all EU-28 countries as well as Iceland, Norway, Switzerland and Liechtenstein. Eurodac stands for the EUROpean Asylum DACtyloscopy database....

Eurodac is the centralised European database that stores and processes the digitalised fingerprints of asylum seekers and irregular migrants who have entered a European country. This helps determine the Member State responsible for examining an asylum application. Eurodac stands for EUROpean...

Eurodac is the centralised European database that stores and processes the digitalised fingerprints of asylum seekers and irregular migrants who have entered a European country. This helps determine the Member State responsible for examining an asylum application. Eurodac stands for EUROpean...

Eurodac is the centralised European database that stores and processes the digitalised fingerprints of asylum seekers and irregular migrants who have entered a European country. This helps determine the Member State responsible for examining an asylum application. Eurodac stands for EUROpean...

Many medical studies collect biomarker data to gain insight into the biological mechanisms underlying both acute and chronic diseases. These markers may be obtained at a single point in time to aid in the diagnosis of an illness or may be collected longitudinally to provide information on the...

Since the formulation by Black, Scholes, and Merton in 1973 of the first rational option pricing formula which depended only on observable values, the volume of options traded daily on the Chicago Board of Exchange has grown rapidly. In fact, over the past three decades, options have undergone a...

Longitudinal and repeated measurement data commonly arise in many scientific researchareas. Traditional methods have focused on estimating single mean response as a function ofa time related variable and other covariates in a homogeneous population. However, in manysituations the homogeneity...

The proliferation of many clinical studies obtaining multiple biophysical signals from several individuals repeatedly in time is increasingly recognized, a recognition generating growth in statistical models that analyze cross-sectional time series data. In general, these statistical models try...

An Ornstein-Uhlenbeck process is the most basic mean-reversion model and has been used in various fields such as finance and biology. In some instances, reflecting boundary conditions are needed to restrict the state space of this process. We study an Ornstein-Uhlenbeck diffusion process with a...

The main concern of financial time series analysis is how to forecast future values of financialvariables, based on all available information. One of the special features of financial variables,such as stock prices and exchange rates, is that they show changes in volatility, or variance,over...