The application of CS to genomic prediction (using linear models) and GWAS has been described in an earlier paper by one of the authors [ 6].
The simulation program was validated first by comparison of simulated retention times and peak widths for five amphetamines to predictions obtained using linear solvent strength (LSS) theory, and to results from experimental separations of these compounds.
To stratify patients into 3 groups, viz., high-risk (HR), intermediate-risk (IR), or low-risk (LR), we established two prediction models using linear discriminant analysis (LDA).
Based on 2-year and 4-year prediction models using linear discriminant analysis (area under the receiver-operator characteristic (ROC) curve: 0.8386 and 0.7910, respectively), Barrett's esophagus specimens were stratified into high-risk (HR), intermediate-risk (IR), or low-risk (LR) groups.
For better prediction performance, Yan and Wang proposed a prediction-error expansion method using linear prediction [19] which used past eight samples for prediction and the prediction coefficients were integers and the order was fixed.
Since M/S coding works as the simplest interchannel prediction, Krueger generalized it using linear prediction instead of M/S transformation and residual signal instead of difference signal [25].
In fact, it has been theoretically shown that the prediction error (residual) signal obtained using linear prediction in subbands is flatter in the frequency domain than the prediction error obtained using fullband linear prediction (for the same AR filter order) [22].
Environmental correlation models for NO3-N prediction were derived using linear and non-linear regression methods, and employed to develop NO3-N trend maps.
In this paper, we conducted experiments to examine the performance of currency prediction models trained using linear kernel SVR on historical bid price data for high-frequency currency trading.
We then calculated age-standardised outcome probabilities for each stratum using linear prediction on the log-odd scale, i.e. predicted log-odds were transformed into probabilities.
