Modelling preferences has been an active research topic in Artificial Intelligence for more than fifteen years. Existing formalisms are rich and flexible enough to capture the behaviour of complex decision rules. However, for being interesting in practice, it is interesting to learn not a single model, but a probabilistic model that can compactly represent the preferences of a group of users – ...

Benefit transfer is a collection of methods widely used in costbenefit analysis and policy analysis to assess environmental values in contexts where original valuation work is deemed too expensive and/or too time-consuming. The essence of benefit transfer is conditional or unconditional prediction of environmental values in a new context. This paper proposes a hierarchical Bayesian method for b...

Abstract Dynamic Network Actor Models (DyNAMs) assume that an observed sequence of relational events is the outcome actor-oriented decision process consisting two levels. The first level represents time until actor initiates next event, modeled by exponential distribution with actor-specific activity rate. second describes choice receiver a conditional multinomial logit model. DyNAM assumes par...

conditional  methods  of adjustment  are often used to quantify  the effect  of the exposure on the outcome.  as  a  result,  the  stratums-specific  risk  ratio  estimates  are  reported  in  the  presence  of interaction   between   exposure  and  confounder(s)   in  the  literature,  even  if  the  target  of  the intervention on the exposure is the total population and the interaction itsel...

This paper discusses conditional probability P( A | B), or the probability of A given B. When P(B) > 0, the ratio formula determines P( A | B). When P(B) = 0, the ratio formula breaks down. The Borel-Kolmogorov paradox suggests that conditional probabilities in such cases are indeterminate or ill-posed. To analyze the paradox, I explore the relation between probability and intensionality. I arg...

in the current world, entrepreneurs are origin of great developments in industrial, servant and commercial contexts and are motivator of development. the main objective of this study was to explore and deeply explain the experiences of entrepreneurs about entrepreneurship phenomenon, as they perceive themselves. research method was qualitative in the way of phenomenology. population included su...

Background and objectives: Application of statistical machine learning methods such as ensemble based approaches in survival analysis has been received considerable interest over the past decades in time-to-event data sets. One of these practical methods is survival forests which have been developed in a variety of contexts due to their high precision, non-parametric and non-linear nature. This...