Among all measures of independence between random variables, mutual information is the only one that is based on information theory. Mutual information takes into account of all kinds of dependencies between variables, i.e., both the linear and non-linear dependencies. In this paper we have classified some well-known bivariate distributions into two classes of distributions based on their mutua...

Image registrations that are based on similarity measures simply adjust the parameters of an appropriate spatial transformation model until the similarity measure reaches an optimum. The numerous similarity measures that have been proposed in the past are differently sensitive to imaging modality, image content and differences in the image content, selection of the floating and target image, pa...

It has been shown that code-division multiple-access (CDMA) systems that employ digital beamforming and base-station antenna arrays have the potential to significantly increase capacity. Therefore, accurate performance prediction of such systems is important. We propose to take the electromagnetic behavior of the base-station antenna array into account, as well as its impact on wireless channel...

Purpose – This paper investigates the impact of individual investor sentiment on the return process and conditional volatility of three main US market indices (DJIA, S&P500 and Nasdaq100). Individual investor sentiment is measured by aggregate money flows in and out of domestically oriented US mutual funds. Design/Methodology/Approach – A GARCH-in-mean specification is used, where our measure f...

Non-Gaussian/non-linear data assimilation is becoming an increasingly important area of research in the Geosciences as the resolution and non-linearity of models are increased and more and more non-linear observation operators are being used. In this study, we look at the effect of relaxing the assumption of a Gaussian prior on the impact of observations within the data assimilation system. Thr...

Data assimilation methods which avoid the assumption of Gaussian error statistics are being developed for geoscience applications. We investigate how the relaxation of the Gaussian assumption affects the impact observations have within the assimilation process. The effect of non-Gaussian observation error (described by the likelihood) is compared to previously published work studying the effect...

During 2007-10, failures eliminated 318 U.S. commercial banks and savings institutions, about 4 percent of the total number of banks operating at the end of 2006. The assets and deposits of many failed banks were acquired by institutions that already had offices in markets served by the failed banks. This article investigates the impact of in-market acquisitions of failed banks on the concentra...

The main aim of this research was to assess the relevance and impact of wellness recovery action planning (WRAP) as a tool for self-management and wellness planning by individuals with mental health problems from pre-existing and newly formed groups, where the possibilities for continued mutual support in the development of WRAPs could be explored. Interviews and focus groups were conducted and...

Data assimilation methods which avoid the assumption of Gaussian error statistics are being developed for geoscience applications. We investigate how the relaxation of the Gaussian assumption affects the impact observations have within the assimilation process. The effect of non-Gaussian observation error (described by the likelihood) is compared to previously published work studying the effect...

Data assimilation methods which avoid the assumption of Gaussian error statistics are being developed for geoscience applications. We investigate how the relaxation of the Gaussian assumption affects the impact observations have within the assimilation process. The effect of non-Gaussian observation error (described by the likelihood) is compared to previously published work studying the effect...