We re-examine the empirical relevance of the cost channel of monetary policy (e.g. Ravenna andWalsh, 2006), employing recently developed moment-conditions inference methods, including identi…cation-robust procedures. Using US data, our results suggest that the cost channel e¤ect is poorly identi…ed and we are thus unable to corroborate the previous results in the literature. Keywords: Cost chan...

We show that any connected regular graph with d + 1 distinct eigenvalues and odd-girth 2d + 1 is distance-regular, and in particular that it is a generalized odd graph. 2010 Mathematics Subject Classification: 05E30, 05C50; JEL Classification System: C0

We describe a GMM-UBM-based evaluation system for pathologic voices that uses standard cepstral features. Per speaker one GMM is created and its components are used to create a so-called GMM supervector. The supervector of each speaker is labeled with the intelligibility values obtained by human evaluation and is used to train an SVR. We studied different GMM supervectors containing different G...

Many methods for automatic heartbeat classification have been applied and reported in literature, but relatively few of them concerned with patient independent classification because of the less significant results compared to patient dependent ones. In this work, using phase space reconstruction in order to classify five heartbeat types can fill this gap to some extent. In the first and second...

The paper investigates the role of real exchange rate misalignment on long-run growth for a set of ninety countries using time series data from 1980 to 2004. We first estimate a panel data model (using fixed and random effects) for the real exchange rate, with different model specification, in order to produce estimates of the equilibrium real exchange rate and this is then used to construct ou...

Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based on well-discriminating features and a trainable neural network (NN) classifier, a previous system enabled highly-accurate classification of valid signals and artefacts of two fluorophores. However, since this system em...

This paper aims to identify key challenges facing Iran and South Korea in their bilateral trade and investment relations. In particular, it is concerned with the policy implications which can be useful for policy makers and business people of both countries. For this purpose, we review and analyze the recent developments of the Iranian economy and bilateral trade and investment relations betwee...

The Difference and System generalized method of moments (GMM) estimators are growing in popularity, thanks in part to specialized software. But as implemented in these packages, the estimators easily generate results by default that are at once invalid yet appear valid in specification tests. The culprit is their tendency to generate instruments that are a) numerous and, in System GMM, b) suspe...

Hariharan Ranganathan Principal, Rajiv Gandhi College of Engineering, Chennai, India [email protected] Abstract Breast cancer is one of the dangerous cancers among women. Due to this, the rate of death increases every year. In order to ease the radiologist task and early detection of breast cancer, multilayer architecture based on dyadic wavelet transform and Gaussian Mixture Model (GMM) is prop...