2017

  • M. Prokešová, J. Dvořák, E.B.V. Jensen (2017): Two-step estimation procedures for inhomogeneous shot-noise Cox processes. Annals of the Institute of Statistical Mathematics. 69 (3), 513--542. Abstract. Journal website.
  • J. Švihlík, J. Kybic, D. Habart, H. Hlushak, J. Dvořák, B. Radochová (2016): Langerhans islet volume estimation from 3D optical projection tomography. Chapter in Computer Vision – ACCV 2016 Workshops; ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II, 583-594.

2016

  • J. Dvořák, M. Prokešová (2016): Parameter estimation for inhomogeneous space-time shot-noise Cox point processes. Scandinavian Journal of Statistics 43 (4), 939-961. Abstract. Journal website.
  • J. Dvořák, J. Švihlík, D. Habart, J. Kybic (2016): Comparison of volume estimation methods for pancreatic islet cells, in Proceedings of SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. DOI: 10.1117/12.2216783. Abstract. Proceedings website.
  • J. Dvořák, M. Prokešová (2016): Asymptotic properties of the minimum contrast estimators for projections of inhomogeneous space-time shot-noise Cox processes. Applications of Mathematics 61 (4), 387-411. Abstract.
  • A. Pidnebesna, K. Helisová, J. Dvořák, R. Lechnerová, T. Lechner (2016): Statistical analysis and modelling of submissions to municipalities in the Czech Republic. Informační Bullentin České statistické společnosti (Information Bullentin of the Czech statistical society), 27 (4), 1-18. Abstract. Available online.

2015

  • J. Dvořák (2015): Model fitting for space-time point patterns using projection processes, in Proceedings of the 19th European Young Statisticians Meeting (ed. S. Nagy), Prague, Matfyzpress, 34-39. Abstract. Available online.

2014

  • J. Dvořák (2014): Statistical inference for spatial and space-time Cox point processes. Ph.D. thesis, Faculty of Mathematics and Physics, Charles University in Prague. Abstract.
  • M. Prokešová, J. Dvořák (2014): Statistics for inhomogeneous space-time shot-noise Cox processes. Methodology and Computing in Applied Probability 16 (2), 433-449. Abstract. Journal website.

2013

  • J. Boldyš, J. Dvořák, O. Bělohlávek, M. Skopalová (2013): Monte Carlo simulation of PET images for injection dose optimization. International Journal for Numerical Methods in Biomedical Engineering 29 (9), 988-999. Abstract. Journal website.
  • J. Dvořák, J. Boldyš, O. Bělohlávek, M. Skopalová (2013): Application of the random field theory in PET imaging - injection dose optimization. Kybernetika 49 (2), 280-300. Abstract. Available online.
  • J. Dvořák, E.B.V. Jensen (2013): On semi-automatic estimation of surface area. Journal of Microscopy 250 (2), 142-157. Available online as a research report of the CSGB centre. Abstract. Journal website.

2012

  • J. Dvořák, M. Prokešová (2012): Moment estimation methods for stationary spatial Cox processes - a comparison. Kybernetika 48 (5), 1007-1026. Available online. Report presenting complete results of the simulation study presented in the paper is available here. Abstract.
  • E. Čadková, M. Komárek, R. Kaliszová, V. Koudelková, J. Dvořák, A. Vaněk (2012): Sorption of Tebuconazole onto Selected Soil Minerals and Humic Acids. Journal of Environmental Science and Health Part B-Pesticides, Food Contaminants, and Agricultural Wastes 47, 336-342. Abstract. Journal website.

2011

  • J. Dvořák (2011): On moment estimation methods for spatial Cox processes, in WDS'11 Proceedings of Contributed Papers: Part I - Mathematics and Computer Sciences (eds. J. Šafránková and J. Pavlů), Prague, Matfyzpress, 31-36. Abstract.
  • J. Boldyš, J. Dvořák, O. Bělohlávek, M. Skopalová (2011): Monte Carlo simulation of PET images for injection dose optimization. Computational Vision and Medical Image Processing: VipIMAGE 2011. Editors J.M.R.S. Tavares and R.M. Natal Jorge. Taylor and Francis, London. Abstract.

2009

  • J. Dvořák, P. Kříž, V. Skubanič (2009): Simulace jednofrontového systému GI/GI/N v programu R (Simulation of a single queue system GI/GI/N in the R environment), Informační Bullentin České statistické společnosti (Information Bullentin of the Czech statistical society), 20 (3), p. 1-12. Abstract. Available online.