## Radoslav Harman## research activities |
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University Faculty Department Division R.Harman Feedback |
## • Publications • Talks • Grants • Doctoral students • Editorial work • Reviewing • Working group and software## Selected publications- See the pre-prints of my most recent papers.
- Harman R, Filová L, Richtárik, P: A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments, to appear in
*Journal of the American Statistical Association*DOI, arXiv (pre-print) - Harman R, Rosa S (2019): Removal of the points that do not support an E-optimal experimental design,
*Statistics & Probability Letters*, Statistics & Probability Letters, Volume 147, pp. 83-89 DOI, arXiv (pre-print) - Harman R, Prus M (2018): Computing optimal experimental designs with respect to a compound Bayes risk criterion,
*Statistics & Probability Letters*, Volume 137, pp. 135-141 DOI, arXiv (pre-print) - Rosa S, Harman R (2017): Optimal approximate designs for comparison with control in dose-escalation studies,
*Test*, Volume 26, pp. 638-660 DOI, arXiv (pre-print) - Harman R, Benková E (2017): Barycentric algorithm for computing D-optimal size- and cost-constrained designs of experiments,
*Metrika*, Volume 80, pp. 201–225 DOI, rdcu, arXiv (pre-print) - 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, arXiv (pre-print) - Benková E, Harman R, Müller WG (2016): Privacy sets for constrained space-filling,
*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. 3-17 DOI, arXiv (pre-print) - Müller WG, Harman R, Benková E (2016): Discussion of "Space-filling designs for computer experiments: A review",
*Quality Engineering*, Volume 28, pp. 36-38 DOI - Sagnol G, Harman R (2015): Computing exact D-optimal designs by mixed integer second-order cone programming,
*The Annals of Statistics*, Volume 43, pp. 2198–2224 DOI, arXiv (pre-print) - Harman R, Sagnol G (2015): Computing D-Optimal 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. 83-91 DOI - Sagnol G, Harman R (2015): Optimal Designs for Steady-State Kalman Filters, In:
*Stochastic Models, Statistics and Their Applications, Springer Proceedings in Mathematics & Statistics*, Volume 122, pp. 149-157 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. 64-69 DOI - Harman R (2014): Multiplicative Methods for Computing D-Optimal Stratified Designs of Experiments,
*Journal of Statistical Planning and Inference*, Volume 146, pp. 82-94 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): Criterion-robust Experimental Designs for the Quadratic Regression on a Square and a Cube,
*Communications in Statistics - Theory and Methods*, Volume 42, pp. 2044-2055 DOI - Lacko V, Harman R (2012): A conditional distribution approach to uniform sampling on spheres and balls in Lp spaces,
*Metrika*, Volume 75, pp. 939-951, DOI, rdcu - Filová L, Harman R (2012): Criterion-robust 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. 709-719 DOI, rdcu - Amo-Salas M, Ortega-López V, Harman R, Alonso-Gonzáles A (2011): A New Model for Predicting the Flight Activity of Lobesia botrana (Lepidoptera: Tortricidae),
*Crop Protection*, Volume 30, pp. 1586-1593 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 E-optimal designs for the model of spring balance weighing with a constant bias,
*Journal of Statistical Planning and Inference*, Volume 141, pp. 2480-2488 DOI - Harman R, Lacko V (2010): On decompositional algorithms for uniform sampling from n-balls and n-spheres,
*Journal of Multivariate Analysis*, Volume 101, pp. 2297-2304 DOI - Harman R, Štulajter F (2010): Optimal prediction designs in finite discrete spectrum linear regression models,
*Metrika*, Volume 72, pp. 281-294 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 978-80-89186-53-2, 252 s. Info - Harman R, Trnovská M (2009): Approximate D-optimal 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 Ornstein-Uhlenbeck 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. 1097-1101 pdf - Harman R, Jurík T (2008): Computing c-optimal experimental designs using the simplex method of linear programming,
*Computational Statistics & Data Analysis*, Volume 53, pp. 247-254 DOI - Harman R (2008): Equivalence theorem for Schur optimality of experimental designs,
*Journal of Statistical Planning and Inference*, Volume 138, pp. 1201-1209 DOI - Harman R, Pronzato L (2007): Improvements on removing non-optimal support points in D-optimum design algorithms,
*Statistics & Probability Letters*, Volume 77, pp. 90-94 DOI, arXiv (pre-print) - Harman R (2004): Minimal efficiency of designs under the class of orthogonally invariant information criteria,
*Metrika*, Volume 60, pp. 137-153 DOI, rdcu - Harman R (2004): Lower bounds on efficiency ratios based on Φp-optimal designs, In:
*Proceedings from the conference "mODa 7 - Advances in Model-Oriented Design and Analysis" (Heeze, Netherlands 2004)*, Physica-Verlag, pp. 89-96 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 D-optimal design,
*Tatra Mountains Mathematical Publications*, Volume 26, pp. 59-67 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. 83-98 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
## Selected grants- 2013-2015 Principal investigator of the VEGA grant No. 1/0163/13 "Methods of optimal experimental design"
- 2016-2018 Principal investigator of the VEGA grant No. 1/0521/16 "Methods of optimal experimental design"
- 2019-2021 Principal investigator of the VEGA grant No. 1/0341/19 "Methods of optimal experimental design"
## Doctoral students- Lenka Filová: "Ek-optimal 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 trend-resistant designs of experiments" def. 2018
- Eva Benková; "Algorithms for computing optimal experimental designs under non-standard constraints"; expected def. 2019
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