With the ever-increasing public availability of bioactivity data [12], it is possible to construct reliable target-prediction models using statistical or machine learning methods.
Lippman [4] and Madrid [3] proposed prediction methods using statistical analysis of cardiac signals, where the protocols analyzed did [4] and did not [3] envisage the creation of a reference variable (baseline).
Weather forecast products are generated by postprocessing forecast output from several numerical weather prediction models using statistical approaches or local meteorologists' judgments.
Predictions using a statistical model of the RIM-copolymerisation showed that increasing SS-fn lead to more rapid development of copolymer molar mass with isocyanate conversion.
We wish to test the accuracy of these predictions using standard statistical techniques in niche modeling with locality data taken from the presence of pythons in their native range.
Other high-frequency trading strategies exploit latency advantages using statistical predictions rather than strict arbitrage.
On the flip side, we help agencies and marketers bid for these ads using statistical prediction techniques". It is from this data-driven vantage point that O'Kelley is tracking a significant trend which could yet prove newspapers' salvation.
When more complicated risk prediction models are developed using statistical learning methods such as regularized regression or support vector machines, these should be explained and specified in sufficient detail that others can implement these models in other data sets.
