The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic exante forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither exposed to selection bias nor to the risk of...

The aim of this paper is to find the best intelligent model that allows predicting the future of premature newborns according to their electroencephalogram (EEG). EEG is a signal that measures the electrical activity of the brain. In this paper, the authors used a dataset of 397 EEG records...

A QSPR modeling was carried out to predict the chromatographic retention times of a series of fatty acid methyl esters (FAME) widely used as standard in the characterization of lipids from agricultural and food products. Number of carbons, total double bonds, position of double bonds and...

Deposition of α–synuclein, tau and β–amyloid protein plaques in brain leads to neurodegeneration. A series of indolin derivatives, which can bind to α–synuclein and detect Parkinson's disease (PD), were used for development of QSAR and QAAR models. It is the first attempt of QSAR for...

The purpose of this paper is to empirically analyze the effect of information technology (IT) capability on organizational performance through a resource based view (RBV). Primary data collected from 50 IT executives and 250 managers are used for this study and multiple linear regression (MLR)...

This doctoral dissertation is composed of three projects and four chapters. Chapter 1 presents the background theories and models in the field of population genetics that are related to these projects.In Chapter 2, I develop a composite likelihood ratio test (CLRT) for detecting genes and...

The purpose of the research is to compare the quantity and quality of reporting on theemployees of companies with the profitability and size of the top 100 companies over afour year period. The research is limited to the availability of quality information onemployees in the financial statements...

Risk allocation in privately financed public infrastructure projects, which are mainly referred to as public-private partnership (PPP) projects, is a challenging job due to the nature of incomplete contracting. An investigation into the mechanism that guides the formation of efficient risk...