We present the radio light curves of lensed images of the gravitational lens B1422+231. The observations have been carried out using the VLA at 8.4 and 15 GHz over a period of 197 days. We describe a method to estimate the time delay from the observed light curves. Using this method, our cross-correlation analysis shows that the time delay between images B and A is 1.5±1.4d, between A and C is ...

crack identification is a very important issue in mechanical systems, because it is a damage that if develops may cause catastrophic failure. in the first part of this research, modal analysis of a multi-cracked variable cross-section beam is done using finite element method. then, the obtained results are validated usingthe results of experimental modal analysis tests. in the next part, a nove...

DAG models with hidden variables present many difficulties that are absent when all nodes are observed. In particular, fully ob­ served DAG models are identified and cor­ respond to well-defined sets of distributions, whereas this is not true if nodes are unob­ served. In this paper we characterize exactly the set of distributions given by a class of Gaussian models with one-dimensional latent ...

We investigate whether information sharing among banks has affected credit market performance in the transition countries of Eastern Europe and the former Soviet Union, using a large sample of firm-level data. Our estimates show that information sharing is associated with improved availability and lower cost of credit to firms. This correlation is stronger for opaque firms than transparent firm...

In the medical, behavioral, social, and psychological sciences, latent variables represent unobservable traits that are measured by multiple observed variables. Latent variable models (LVMs) are useful tools for assessing the interrelationships among latent and observed variables. Due to their wide applications, LVMs have attracted significant attention from various fields. However, the majorit...

The conference that this book builds upon contained many different special topics within the general area of modeling with categorical latent variables, also referred to as mixture modeling. The many different models addressed at that conference and within this volume may overwhelm a newcomer to the field. In fact, however, there are really only a small number of variations on a common theme. T...