the aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of ‎ gene expression data using artificial neural networks. the studied method was performed on a dataset which contained data about 117 patients admitted to a hospital in durham in 2009. of all the studied patients, 66 patients were suffering ...

This chapter explains the logic of structural econometric models and compares them to other types of econometric models. We provide a framework researchers can use to develop and evaluate structural econometric models. This framework pays particular attention to describing different sources of unobservables in structural models. We use our framework to evaluate several literatures in industrial...

The m-testing approach provides a general and convenient framework in which to view and construct speci cation tests for econometric models. Previous m-testing frameworks only consider test statistics that involve nite dimensional parameter estimators and in nite dimensional parameter estimators a ecting the limit distribution of the m-test statistics. In this paper we propose a new m-testing f...

This paper investigates empirically the interrelationships between the daily stock market returns of the Nikkei 225, DAX and Dow Jones Industrial index. Contrary to former work this paper uses the succession of the markets in time to form different econometric models. In this way it is possible to detect causality not only from the US to foreign countries but in some cases vice versa. The obser...

We develop econometric models of ascending (English) auctions which allow for both bidder asymmetries as well as common and/or private value components in bidders’ underlying valuations. We show that the equilibrium inverse bid functions in each round of the auction are implicitly defined (pointwise) by a system of nonlinear equations, so that conditions for the existence and uniqueness of an i...