The article distinguishes the scientist of the opinable thing, because the epistemology must explain: the nature and the path to obtain the concepts and scientific theories; the methodology with which one threads the laws and theories that give sustenance to sciences. This is the importance of...

The predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models...

Estimation of the one sided error component in stochastic frontier models may erroneously attribute firm characteristics to inefficiency if heterogeneity is unaccounted for. However, unobserved inefficiency heterogeneity has been little explored. In this work, we propose to capture it through a...

In this study, we measure jointly the labour and the residential accessibility of a basic spatial unit using a Bayesian Poisson gravity model with spatial effects. The accessibility measures are broken down into two components: the attractiveness component, which is related to its socio-economic...

Microloan markets allow individual borrowers to raise funding from multiple individual lenders. We use a unique panel data set that tracks the funding dynamics of borrower listings on Prosper.com, the largest microloan market in the United States. We find evidence of rational herding among...

This paper develops a methodology for robust Bayesian inference through the use of disparities. Metrics such as Hellinger distance and negative exponential disparity have a long history in robust estimation in frequentist inference. We demonstrate that an equivalent robustification may be made...

A problem encountered in many contexts is the estimation of matrices or tables from aggregate, heterogeneous, incomplete and contradictory information. In this paper the <Emphasis Type="SmallCaps">Adeton method is presented which can be used for this estimation task under quite general conditions. The <Emphasis Type="SmallCaps">Adeton method was...</emphasis></emphasis>

Non-homogenous Poisson process, <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\{N(t), t 0\}$$</EquationSource> </InlineEquation> under time-truncated sampling scheme is often used in practice. <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$E[S_{N(T)+1}$$</EquationSource> </InlineEquation>], the expected time of arrival of the first event after a truncated time <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$T$$</EquationSource> </InlineEquation>, is expressed as a function of intensity. A non-informative prior as well as...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>

C1; C3; I1 </AbstractSection> Copyright Härkänen et al.; licensee Springer. 2013