| Theory of random sets I Molchanov, IS Molchanov Springer 19 (2), 2005 | 1475 | 2005 |
| Statistics of the Boolean model for practitioners and mathematicians IS Molchanov (No Title), 1997 | 280 | 1997 |
| Sharp identification regions in models with convex moment predictions A Beresteanu, I Molchanov, F Molinari Econometrica 79 (6), 1785-1821, 2011 | 255 | 2011 |
| Limit theorems for unions of random closed sets IS Molchanov Springer, 2006 | 145 | 2006 |
| Multivariate risks and depth-trimmed regions I Cascos, I Molchanov Finance and stochastics 11 (3), 373-397, 2007 | 99 | 2007 |
| Strictly stable distributions on convex cones Y Davydov, I Molchanov, S Zuyev | 96 | 2008 |
| On strong laws of large numbers for random upper semicontinuous functions IS Molchanov Journal of Mathematical Analysis and Applications 235 (1), 349-355, 1999 | 94 | 1999 |
| Partial identification using random set theory A Beresteanu, I Molchanov, F Molinari Journal of Econometrics 166 (1), 17-32, 2012 | 91 | 2012 |
| Multivariate risk measures: a constructive approach based on selections I Molchanov, I Cascos Mathematical Finance 26 (4), 867-900, 2016 | 83 | 2016 |
| Averaging of random sets based on their distance functions A Baddeley, I Molchanov Journal of Mathematical Imaging and Vision 8, 79-92, 1998 | 83 | 1998 |
| Statistics of the Boolean model: from the estimation of means to the estimation of distributions IS Molchanov Advances in applied probability 27 (1), 63-86, 1995 | 79 | 1995 |
| A limit theorem for solutions of inequalities IS Molchanov Scandinavian Journal of Statistics 25 (1), 235-242, 1998 | 78 | 1998 |
| Random sets in econometrics I Molchanov, F Molinari Cambridge University Press, 2018 | 77 | 2018 |
| Central limit theorem for a class of random measures associated with germ-grain models L Heinrich, IS Molchanov Advances in Applied Probability 31 (2), 283-314, 1999 | 71 | 1999 |
| Convex geometry of max-stable distributions I Molchanov Extremes 11, 235-259, 2008 | 64 | 2008 |
| (2010) J Kendall, I Molchanov New Perspectives in Stochastic Geometry. Berlin: Springer, 2007 | 59 | 2007 |
| New perspectives in stochastic geometry WS Kendall, G Last, IS Molchanov Oberwolfach Reports 5 (4), 2655-2702, 2009 | 53 | 2009 |
| Set-valued means of random particles D Stoyan, IS Molchanov Journal of Mathematical Imaging and Vision 7, 111-121, 1997 | 52 | 1997 |
| Steepest descent algorithms in a space of measures I Molchanov, S Zuyev Statistics and Computing 12 (2), 115-123, 2002 | 51 | 2002 |
| Estimating and quantifying uncertainties on level sets using the Vorob’ev expectation and deviation with Gaussian process models C Chevalier, D Ginsbourger, J Bect, I Molchanov mODa 10–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2013 | 48 | 2013 |
S* ZuyevProfessor of Mathematical Statistics, Chalmers University of TechnologyVerified email at chalmers.se
