Vladimir  Alekseevich Golovkov, 
    Non-Recursive Prediction of Random Processes,
    International Journal of System Signal Control and Engineering Application,
    Volume 10,Issue 4,
    2017,
    Pages 117-120,
    ISSN 1997-5422,
    ijssceapp.2017.117.120,
    (https://makhillpublications.co/view-article.php?doi=ijssceapp.2017.117.120)
    Abstract: The study suggests analytical expressions for
algorithms of optimal linear prediction of a random
process relyingon a sample of the process values and
values of its derivatives at a previous instant of time.
I also investigate relative efficiency of such algorithms
in comparison to transversal algorithms, exemplified by
a stochastic process with a finite correlation function.
    Keywords: stochastic process;prediction;correlation function;prediction evaluation variance;sample efficiency