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R.Harman
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Selected publications
 Harman R, Filová L, Rosa S (2021): Optimal Design of Multifactor Experiments via Grid Exploration, Statistics and Computing, Volume 31, 70 DOI, rdcu (preprint arXiv)
 Harman R, Filová L, Richtárik P (2020): A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments, Journal of the American Statistical Association, Volume 115, pp. 348361 DOI (preprint: arXiv)
 Filová L, Harman R (2020): Ascent with quadratic assistance for the construction of exact experimental designs, Computational Statistics, Volume 35, pp. 775–801 DOI, rdcu (preprint: arXiv)
 Harman R, Rosa S (2020): On greedy heuristics for computing Defficient saturated subsets, Operations Research Letters, Volume 48, pp. 122129 DOI (preprint: arXiv)
 Harman R, Müller W (2020): A design criterion for symmetric model discrimination based on flexible nominal sets, Biometrical Journal, Volume 62, pp. 10901104 DOI (preprint: arXiv)
 Koščová M, Harman R, Mačutek J (2020): Iterated partial summations applied to finitesupport discrete distributions, Matematica Slovaca, Volume 70, pp. 489496 DOI
 Harman R, Rosa S (2019): Removal of the points that do not support an Eoptimal experimental design, Statistics & Probability Letters, Volume 147, pp. 8389 DOI (preprint: arXiv)
 Harman R, Prus M (2018): Computing optimal experimental designs with respect to a compound Bayes risk criterion, Statistics & Probability Letters , Volume 137, pp. 135141 DOI (preprint: arXiv)
 Rosa S, Harman R (2017): Optimal approximate designs for comparison with control in doseescalation studies, Test, Volume 26, pp. 638660 DOI (preprint: arXiv)
 Harman R, Benková E (2017): Barycentric algorithm for computing Doptimal size and costconstrained designs of experiments, Metrika, Volume 80, pp. 201–225 DOI, rdcu (preprint: arXiv)
 Rosa S, Harman R (2016): Optimal approximate designs for estimating treatment contrasts resistant to nuisance effects, Statistical Papers, Volume 57, pp. 1077–1106 DOI, rdcu (preprint: arXiv)
 Benková E, Harman R, Müller WG (2016): Privacy sets for constrained spacefilling, Journal of Statistical Planning and Inference, Volume 171, pp. 1–9 DOI
 Harman R, Bachratá A, Filová L (2016): Construction of efficient experimental designs under multiple resource constraints, Applied Stochastic Models in Business and Industry, Volume 32, pp. 317 DOI (preprint: arXiv)
 Müller WG, Harman R, Benková E (2016): Discussion of "Spacefilling designs for computer experiments: A review", Quality Engineering, Volume 28, pp. 3638 DOI
 Sagnol G, Harman R (2015): Computing exact Doptimal designs by mixed integer secondorder cone programming, The Annals of Statistics, Volume 43, pp. 2198–2224 DOI (preprint: arXiv)
 Harman R, Sagnol G (2015): Computing DOptimal Experimental Designs for Estimating Treatment Contrasts Under the Presence of a Nuisance Time Trend, In: Stochastic Models, Statistics and Their Applications, Springer Proceedings in Mathematics & Statistics, Volume 122, pp. 8391 DOI
 Sagnol G, Harman R (2015): Optimal Designs for SteadyState Kalman Filters, In: Stochastic Models, Statistics and Their Applications, Springer Proceedings in Mathematics & Statistics, Volume 122, pp. 149157 DOI
 Tučková M, Harman R, Tuček P, Tuček J (2014): Design of Experiment for Hysteresis Loops Measurement, Journal of Magnetism and Magnetic Materials, Volume 368, pp. 6469 DOI
 Harman R (2014): Multiplicative Methods for Computing DOptimal Stratified Designs of Experiments, Journal of Statistical Planning and Inference, Volume 146, pp. 8294 DOI
 Harman R, Filová L (2014): Computing efficient exact designs of experiments using integer quadratic programming, Computational Statistics & Data Analysis, Volume 71, pp. 1159–1167 DOI
 Filová L, Harman R (2013): Criterionrobust Experimental Designs for the Quadratic Regression on a Square and a Cube, Communications in Statistics  Theory and Methods, Volume 42, pp. 20442055 DOI
 Lacko V, Harman R (2012): A conditional distribution approach to uniform sampling on spheres and balls in Lp spaces, Metrika, Volume 75, pp. 939951, DOI, rdcu
 Filová L, Harman R (2012): Criterionrobust Designs for the Models of Spring Balance Weighing, Tatra Mountains Mathematical Publications, Volume 51, pp. 23–32, TMMP
 Filová L, Trnovská M, Harman R (2012): Computing maximin efficient experimental designs using the methods of semidefinite programming, Metrika, Volume 75, pp. 709719 DOI, rdcu
 AmoSalas M, OrtegaLópez V, Harman R, AlonsoGonzáles A (2011): A New Model for Predicting the Flight Activity of Lobesia botrana (Lepidoptera: Tortricidae), Crop Protection, Volume 30, pp. 15861593 DOI
 Harman R, Štulajter F (2011): Optimal sampling designs for the Brownian motion with a quadratic drift, Journal of Statistical Planning and Inference, Volume 141, pp. 2750–2758 DOI
 Filová L, Harman R, Klein T (2011): Approximate Eoptimal designs for the model of spring balance weighing with a constant bias, Journal of Statistical Planning and Inference, Volume 141, pp. 24802488 DOI
 Harman R, Lacko V (2010): On decompositional algorithms for uniform sampling from nballs and nspheres, Journal of Multivariate Analysis, Volume 101, pp. 22972304 DOI
 Harman R, Štulajter F (2010): Optimal prediction designs in finite discrete spectrum linear regression models, Metrika, Volume 72, pp. 281294 DOI, rdcu
 Harman R, Honschová E, Somorčík J (2009): Zbierka úloh zo základov teórie pravdepodobnosti (A Collection of Exercises from Probability, in Slovak), PACI, ISBN 9788089186532, 252 s. Info
 Harman R, Trnovská M (2009): Approximate Doptimal designs of experiments on the convex hull of a finite set of information matrices, Mathematica Slovaca, Volume 59, pp. 693–704 DOI
 Harman R, Štulajter F (2009): Optimality of equidistant sampling designs for a nonstationary OrnsteinUhlenbeck process, In: Proceedings of the 6th St.Petersburg Workshop on Simulation, S.M.Ermakov, V.S.Melas, A.N.Pepelyshev (eds.), St. Petersburg 2009, pp. 10971101 pdf
 Harman R, Jurík T (2008): Computing coptimal experimental designs using the simplex method of linear programming, Computational Statistics & Data Analysis, Volume 53, pp. 247254 DOI
 Harman R (2008): Equivalence theorem for Schur optimality of experimental designs, Journal of Statistical Planning and Inference, Volume 138, pp. 12011209 DOI
 Harman R, Pronzato L (2007): Improvements on removing nonoptimal support points in Doptimum design algorithms, Statistics & Probability Letters, Volume 77, pp. 9094 DOI (preprint: arXiv)
 Harman R (2004): Minimal efficiency of designs under the class of orthogonally invariant information criteria, Metrika, Volume 60, pp. 137153 DOI, rdcu
 Harman R (2004): Lower bounds on efficiency ratios based on Φpoptimal designs, In: Proceedings from the conference "mODa 7  Advances in ModelOriented Design and Analysis" (Heeze, Netherlands 2004), PhysicaVerlag, pp. 8996 DOI
 Harman R (2004): Minimal efficiency of experimental designs under the class of orthogonally invariant criteria, PhD. Thesis, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava. pdf
 Harman R (2003): A method how to delete points which do not support a Doptimal design, Tatra Mountains Mathematical Publications, Volume 26, pp. 5967 ps
 Pavlásek J, Jenča J, Harman R (2003): Rate coding: neurobiological network performing detection of the difference between mean spiking rates, Acta Neurobiologiae Experimentalis, Volume 63, pp. 8398 pdf
 Harman R (1999): The asymptotic regularity of a generalization of a linear regression model with a nonmonotonous link function, Tatra Mountains Mathematical Publications, Volume 17, pp. 37–44 ps
Selected invited talks
 Experiments for Processes With Time or Space Dynamics, Isaac Newton Institute for Mathematical Sciences, Cambridge, England, 2011 Website
 Design and Analysis of Experiments, University of Georgia, Athens, USA, 2012 Website
 Design and Analysis of Experiments in Healthcare, Isaac Newton Institute for Mathematical Sciences, Cambridge, England, 2015 Website
 Designed Experiments: Recent Advances in Methods and Applications, University of Technology Sydney, Australia, 2015 Website
 Conference on Experimental Design and Analysis, Academia Sinica, Taipei, Taiwan, 2016 Website
 Latest Advances in the Theory and Applications of Design and Analysis of Experiments, Banff, Canada, 2017 Website
 Design of Experiments: New Challenges, CIRM, France, 2018 Website
 5th International Conference on Design of Experiments, FedEx Institute of Technology, Memphis, USA, 2019 Website
Selected grants
 20132015 Principal investigator of the VEGA grant No. 1/0163/13 "Methods of optimal experimental design"
 20162018 Principal investigator of the VEGA grant No. 1/0521/16 "Methods of optimal experimental design"
 20192021 Principal investigator of the VEGA grant No. 1/0341/19 "Methods of optimal experimental design"
Doctoral students
 Lenka Filová: "Ekoptimal and maximin efficient designs of experiments"; def. 2010
 Vladimír Lacko: "Design of experiments in stochastic dynamics"; def. 2014
 Alena Bachratá: "Optimal design of block experiments"; def. 2015
 Michaela Tučková: "Design of experiment for hysteresis loops measurement"; def. 2017
 Samuel Rosa: "Optimal trendresistant designs of experiments" def. 2018
 Eva Benková; "Algorithms for computing optimal experimental designs under nonstandard constraints"; expected def. 2020
 
