Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Multivariate models more general than the standard multivariate linear model have received considerable attention in both the statistical and econometric literature; see Srivastava (1966, 1967, 1968) ...

Many economically important characteristics of agricultural crops are measured as ordinal traits. Statistical analysis of the genetic basis of ordinal traits appears to be quite different from regular ...

We develop a predictive Bayesian approach to variable selection in the multivariate linear model. A criterion derived from the Bayesian predictive density is proposed and a calibration is provided for ...

Algorithmically generated booking recommendations based on customizable physician assumptions and predictive modeling modestly increased productivity without overburdening physicians in a randomized ...