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Number of items: 10.

Journal Article

Badunenko, Oleg and Mozharovskyi, Pavlo (2016). Nonparametric frontier analysis using Stata. Stata J., 16 (3). S. 550 - 590. COLLEGE STATION: STATA PRESS. ISSN 1536-867X

Dyckerhoff, Rainer and Mozharovskyi, Pavlo (2016). Exact computation of the halfspace depth. Comput. Stat. Data Anal., 98. S. 19 - 31. AMSTERDAM: ELSEVIER SCIENCE BV. ISSN 1872-7352

Dyckerhoff, Rainer ORCID: 0000-0002-3631-8497, Mozharovskyi, Pavlo ORCID: 0000-0002-1925-3337 and Nagy, Stanislav ORCID: 0000-0002-8610-4227 (2021). Approximate computation of projection depths. Comput. Stat. Data Anal., 157. AMSTERDAM: ELSEVIER. ISSN 1872-7352

Lange, Tatjana, Mosler, Karl and Mozharovskyi, Pavlo (2014). Fast nonparametric classification based on data depth. Stat. Pap., 55 (1). S. 49 - 70. NEW YORK: SPRINGER. ISSN 1613-9798

Liu, Xiaohui, Mosler, Karl and Mozharovskyi, Pavlo (2019). Fast Computation of Tukey Trimmed Regions and Median in Dimension p > 2. J. Comput. Graph. Stat., 28 (3). S. 682 - 698. ALEXANDRIA: AMER STATISTICAL ASSOC. ISSN 1537-2715

Mosler, Karl and Mozharovskyi, Pavlo (2017). Fast DD-classification of functional data. Stat. Pap., 58 (4). S. 1055 - 1090. NEW YORK: SPRINGER. ISSN 1613-9798

Mozharovskyi, Pavlo, Mosler, Karl and Lange, Tatjana (2015). Classifying real-world data with the DD alpha-procedure. Adv. Data Anal. Classif., 9 (3). S. 287 - 315. HEIDELBERG: SPRINGER HEIDELBERG. ISSN 1862-5355

Mozharovskyi, Pavlo and Vogler, Jan (2016). Composite marginal likelihood estimation of spatial autoregressive probit models feasible in very large samples. Econ. Lett., 148. S. 87 - 91. LAUSANNE: ELSEVIER SCIENCE SA. ISSN 1873-7374

Nagy, Stanislav, Dyckerhoff, Rainer and Mozharovskyi, Pavlo (2020). Uniform convergence rates for the approximated halfspace and projection depth. Electron. J. Stat., 14 (2). S. 3939 - 3976. CLEVELAND: INST MATHEMATICAL STATISTICS. ISSN 1935-7524

Pokotylo, Oleksii, Mozharovskyi, Pavlo and Dyckerhoff, Rainer (2019). Depth and Depth-Based Classification with R Package ddalpha. J. Stat. Softw., 91 (5). LOS ANGELES: JOURNAL STATISTICAL SOFTWARE. ISSN 1548-7660

This list was generated on Tue May 24 04:36:46 2022 CEST.