Results 151 to 160 of about 1,212,906 (326)
An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Decision Sciences, EarlyView.Abstract We study a supply chain subject to supply disruptions, where the supplier can exert costly effort to mitigate the impact of disruptions and improve reliability. The supplier's current reliability level and the cost of improving reliability can each be high or low and are privately known only to the supplier.
Yutian Li, Sammi Y. Tang
wiley +1 more source
Develop a web-based system using the Naïve Bayes algorithm to predict asphyxia neonatal
MedisainsIntroduction: Most cases of perinatal asphyxia are caused by conditions unrelated to labor. When asphyxia occurs during childbirth, it is usually caused by an obstetric emergency that was not detected during pregnancy. It is essential to prevent asphyxia
Elviga Arselatifa +2 more
doaj +1 more source
BAYES THEOREM APPLICATION FOR THE COAL MINES’ ROCK COLLAPSE INDIVIDUAL RISK POSSIBILITY ASSESSMENT
, 2020 K. A. Kolvakh
openalex +1 more source
, 1994 We present estimators for entropy and other functions of a discrete probability distribution when the data is a finite sample drawn from that probability distribution. In particular, for the case when the probability distribution is a joint distribution,
Wolf, David R., Wolpert, David H.
core +1 more source
The Impact of Risk Exposure and Environmental Conditions on European Banking Efficiency
European Financial Management, EarlyView.ABSTRACT This study investigates the determinants of bank cost efficiency in Europe by applying a dynamic Bayesian stochastic frontier approach. We distinguish between two conceptually and empirically separate components of efficiency: (1) an intrinsic component, driven by internal bank features such as size and risk exposure, and (2) an extrThis study
Pilar Gargallo +2 more
wiley +1 more source
Bayes' Theorem under Conditional Independence [PDF]
, 2020 Hu Jun, Xianggui Qu
openalex +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
International Economic Review, EarlyView.ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
Debt Ceilings With Fiscal Intransparency and Imperfect Electoral Accountability
International Economic Review, EarlyView.ABSTRACT We study optimal debt ceilings in a political‐agency model with uncertainty about both policymaker type (benevolent or selfish) and economic state (good or bad). Elections generate disciplining and selection effects that differ across pooling, hybrid, and separating equilibria induced by different ceilings.
Randolph Sloof +2 more
wiley +1 more source
Experimental probabilistic pragmatics beyond Bayes’ theorem
Zeitschrift für Sprachwissenschaft, 2016 Pfeifer Niki
doaj +1 more source