The experience of our self-help organisation shows that the reason patients with symptoms of magnesium (Mg) deficiency do not get Mg therapy is acceptance of an inappropriate lower limit of the reference values for serum Mg concentration. The commonly designated low limit of the normal range seems to have been selected from values obtained for symptomatic patients. It is below levels that exist...

A stochastic volatility-in-mean model with correlated errors using the generalized hyperbolic skew Student-t (GHST) distribution provides a robust alternative to the parameter estimation for daily stock returns in the absence of normality. An efficient Markov chain Monte Carlo (MCMC) sampling algorithm is developed for parameter estimation. The deviance information, the Bayesian predictive info...

Fuzzy Signal Detection Theory (FSDT) has the potential of enhancing performance measures in detection tasks in which precision of Signal Detection Theory (SDT) analysis is limited by discrete mutually exclusive categorization of the state of the world and/or responses available to the observer. While there have been empirical efforts to demonstrate the benefits and tenability of FSDT, the quest...

We study the fitting of time series models via minimization of a multi-step ahead forecast error criterion that is based on the asymptotic average of squared forecast errors. As in Haywood and Tunnicliffe-Wilson (1997) our score function is formulated in the frequency domain, but our time series models are not limited to those with spectra linear in the parameters; our formulation includes all ...

When large amounts of data continuously arrive in streams, online updating is an effective way to reduce storage and computational burden. The key idea that the previous estimators are sequentially updated only using current summary statistics historical data. In this article, we develop a renewable learning method for multiplicative regression model with streaming data, where parameter estimat...