Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs. - Rostislav Chudoba; Václav Sadílek; R. Rypl; Miroslav Vorechovský (Comput. Phys. Commun., 2013)

FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module. - Drahomír Novák; Miroslav Vorechovský; Bretislav Teplý (Adv. Eng. Softw., 2014)

Hierarchical Refinement of Latin Hypercube Samples. - Miroslav Vorechovský (Comput. Aided Civ. Infrastructure Eng., 2015)

Modification of the Audze-Eglājs criterion to achieve a uniform distribution of sampling points. - Jan Eliás; Miroslav Vorechovský (Adv. Eng. Softw., 2016)

Parallel implementation of hyper-dimensional dynamical particle system on CUDA. - Jan Masek 001; Miroslav Vorechovský (Adv. Eng. Softw., 2018)

Approximation of Voronoï cell attributes using parallel solution. - Jan Masek 001; Miroslav Vorechovský (Adv. Eng. Softw., 2019)

Distance-based optimal sampling in a hypercube: Analogies to N-body systems. - Miroslav Vorechovský; Jan Masek 001; Jan Eliás (Adv. Eng. Softw., 2019)

Periodic version of the minimax distance criterion for Monte Carlo integration. - Jan Eliás; Miroslav Vorechovský; Václav Sadílek (Adv. Eng. Softw., 2020)

Distance-based optimal sampling in a hypercube: Energy potentials for high-dimensional and low-saturation designs. - Miroslav Vorechovský; Jan Masek 001 (Adv. Eng. Softw., 2020)

Fracture in random heterogeneous media: I. Discrete mesoscale simulations of load capacity and active zone. - Jan Eliás; Miroslav Vorechovský (CoRR, 2020)

Modification of the Maximin and ϕp (Phi) Criteria to Achieve Statistically Uniform Distribution of Sampling Points. - Miroslav Vorechovský; Jan Eliás (Technometrics, 2020)

Bone mineral density modeling via random field: Normality, stationarity, sex and age dependence. - Petr Henys; Miroslav Vorechovský; Michal Kuchar; Axel Heinemann; Jirí Kopal; Benjamin Ondruschka; Niels Hammer (Comput. Methods Programs Biomed., 2021)

Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces. - Miroslav Vorechovský (CoRR, 2022)

Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion. - Lukás Novák; Michael D. Shields; Václav Sadílek; Miroslav Vorechovský (CoRR, 2023)

Failure Probability Estimation and Detection of Failure Surfaces via Adaptive Sequential Decomposition of the Design Domain. - Aleksei Gerasimov; Miroslav Vorechovský (CoRR, 2023)

Stratified sample tiling. - Jan Masek 001; Miroslav Vorechovský (Adv. Eng. Softw., 2024)

Advanced sampling discovers apparently similar ankle models with distinct internal load states under minimal parameter modification. - Miroslav Vorechovský; Adam Ciszkiewicz (J. Comput. Sci., 2024)

Uncertainty quantification of engineering problems using N-body system designs: An overview. - Jan Masek 001; Miroslav Vorechovský (Adv. Eng. Softw., 2025)