If your way gets steep,
it is not necessarily wrong.
Field of interest:
Probability theory: central limit theorem and large deviations,
Stein's method; stochastic geometry.
A multivariate Berry–Esseen theorem with explicit constants.
25, No. 4A (2019), 2824–2853.
Moderate deviations for stabilizing functionals in geometric probability
(with Peter Eichelsbacher in Tomasz Schreiber).
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
51 (2015), No. 1, 89–128.
Concentration of measure for the number of isolated vertices in the
Erdős-Rényi random graph by size bias couplings
(with Subhankar Ghosh and Larry Goldstein).
Statistics and Probability Letters
81, No. 11 (2011), 1565–1570.
CLT-related large deviation bounds based on Stein's method.
Advances in Applied Probability
39 (2007), No. 3, str. 731–752.
A multivariate CLT for decomposable random vectors with finite second moments.
Journal of Theoretical Probability
17 (2004), No. 3, pp. 573–603.
Normal approximation by Stein's method.
Proceedings of the Seventh Young Statisticians Meeting.
21, FDV, Ljubljana, 2003.
A multivariate central limit theorem for Lipschitz and smooth test functions.
On Götze's multivariate central limit therem: doubts, clarification and improvements.
Talk at the Symposium in Memory of Charles Stein (1920–2016), Singapore, June 2019.
Normal Approximation by Stein's Method. PhD Thesis.
Ljubljana, 2006 (in Slovenian).
The Chen–Stein method. MSc Thesis.
Ljubljana, 1998 (in Slovenian).
Lefschetz Number and Coincidence Points of Two Maps. BSc Thesis.
Ljubljana, 1995 (in Slovenian).