Results 141 to 150 of about 131,054 (221)
LABOUR, EarlyView.ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Mathematical Finance, EarlyView.ABSTRACT We introduce a dynamic and stochastic interbank model with an endogenous notion of distress contagion, arising from rational worries about future defaults and ensuing losses. This entails a mark‐to‐market valuation adjustment for interbank claims, leading to a forward‐backward approach to the equilibrium dynamics whereby future default ...
Zachary Feinstein, Andreas Søjmark
wiley +1 more source
Mathematical Finance, EarlyView.ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici +3 more
wiley +1 more source
Aggregation and the Structure of Value
Noûs, EarlyView.ABSTRACT Roughly, the view I call “Additivism” sums up value across time and people. Given some standard assumptions, I show that Additivism follows from two principles. The first says that how lives align in time cannot, in itself, matter. The second says, roughly, that a world cannot be better unless it is better within some period or another.
Weng Kin San
wiley +1 more source
Is A Little Learning Dangerous?
Noûs, EarlyView.ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
Correction to: A software tool for applying Bayes' theorem in medical diagnostics. [PDF]
BMC Med Inform Decis MakChatzimichail T, Hatjimihail AT.
europepmc +1 more source
Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley +1 more source
Salivary Proteomic Signatures in Pregnant Women With Excessive Gingival Bleeding
Oral Diseases, EarlyView.ABSTRACT Objective This observational, cross‐sectional, and analytical study aimed to explore the pathophysiological mechanisms of gingivitis in pregnancy by analyzing the salivary proteomic profile according to gingival bleeding status. Materials and Methods Pregnant women at the 27th week of gestation or beyond were categorized into two groups: those
Gerson Aparecido Foratori‐Junior +9 more
wiley +1 more source
Comment on van Gemert et al. Child Abuse, Misdiagnosed by an Expertise Center-Part II-Misuse of Bayes' Theorem. Children 2023, 10, 843. [PDF]
Children (Basel)Onkenhout NH +5 more
europepmc +1 more source