Hybrid models,
pattern recognition,
nonparametric statistics,
testing of statistical hypotheses.
Subject:
1. Hybrid models of stochastic dependences;
2. Pattern recognition;
3. Nonparametric statistics;
4. Testing of statistical hypotheses.
Main publications:
Lapko A.V., Lapko V.A., “Regression Estimate of the Multidimensional Probability Density and Its Properties”, Optoelectronics, Instrumentation and Data Processing, 50:2 (2014), 148–153
Lapko A.V., Lapko V.A., “Construction of Confidence Limits for the Probability Density Function on the Basis of Nonparametric Estimation of the Function”, Measurement Techniques, 56:12 (2014), 1354–1357
Lapko A.V., Lapko V.A., “Optimal Selection of the Number of Sampling Intervals in Domain of Variation of a One-dimensional Random Variable in Estimation of the Probability Density”, Measurement Techniques, 56:7 (2013), 763–767
Lapko A.V., Lapko V.A., “Nonparametric Algorithms of Pattern Recognition in the Problem of Testing a Statistical Hypothesis on Identity of Two Distribution Laws of Random Variables”, Optoelectronics, Instrumentation and Data Processing, 46:6 (2010), 545–550
Lapko A.V., Lapko V.A., “Hybrid Systems of Rattern Recognition”, Rattern recognition and image analysis, 18:1 (2008), 7–13
A. V. Lapko, À. L. Vasily, “A fast optimization technique for the regression estimation of the probability density of a one-dimensional random variable”, Artificial Intelligence and Decision Making, 2024, no. 2, 123–131
2023
2.
V. P. Tuboltsev, A. V. Lapko, À. L. Vasily, “Nonparametric algorithm for automatic classification of remote sensing data”, Inform. Primen., 17:4 (2023), 23–31
V. P. Tuboltsev, A. V. Lapko, À. L. Vasily, “Modified nonparametric algorithm for automatic classification of large-volume statistical data and its application”, Artificial Intelligence and Decision Making, 2023, no. 4, 49–57
A. V. Lapko, À. L. Vasily, A. V. Bakhtina, “Comparison of the methodology for hypothesis testing of the independence of two-dimensional random variables based on a nonparametric classifier”, Artificial Intelligence and Decision Making, 2022, no. 1, 45–56; Scientific and Technical Information Processing, 50:6 (2023), 572–581
I. V. Zenkov, A. V. Lapko, À. L. Vasily, E. V. Kiryushina, V. N. Vokin, A. V. Bakhtina, “A method of sequentially generating a set of components of a multidimensional random variable using a nonparametric pattern recognition algorithm”, Computer Optics, 45:6 (2021), 926–933
I. V. Zenkov, A. V. Lapko, À. L. Vasily, E. V. Kiryushina, V. N. Vokin, “Nonparametric pattern recognition algorithm for testing a hypothesis of the independence of random variables”, Computer Optics, 45:5 (2021), 767–772
I. V. Zenkov, A. V. Lapko, À. L. Vasily, S. T. Im, V. P. Tuboltsev, V. L. Avdeenok, “A nonparametric algorithm for automatic classification of large multivariate statistical data sets and its application”, Computer Optics, 45:2 (2021), 253–260
A. V. Lapko, À. L. Vasily, “A technique for testing hypotheses for distributions of multidimensional spectral data using a nonparametric pattern recognition algorithm”, Computer Optics, 43:2 (2019), 238–244
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