Davar Khoshnevisan

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Yimin XiaoDepartment of Statistics and Probability, Michigan State UniversityVerified email at stt.msu.edu
David NualartProfessor, The University of KansasVerified email at math.ku.edu
EULALIA NUALARTUniversitat Pompeu FabraVerified email at upf.edu
Daniel ConusAssociate Professor of Mathematics, Lehigh UniversityVerified email at lehigh.edu
Richard BassUniversity of ConnecticutVerified email at uconn.edu
Krzysztof BurdzyProfessor of Mathematics, University of WashingtonVerified email at uw.edu
Rene SchillingProfessor of Probability, TU Dresden, GermanyVerified email at tu-dresden.de
Pedro J. Méndez-HernándezUniversidad de Costa RicaVerified email at ucr.ac.cr
Endre CsakiRenyi IntezetVerified email at renyi.mta.hu
Le CHENAuburn UniversityVerified email at auburn.edu
Yuval PeresBeijing Institute of Mathematical Sciences and Applications (BIMSA)Verified email at yuvalperes.com
Nicos GeorgiouLecturer, University of SussexVerified email at sussex.ac.uk
Paavo SalminenProfessor of MathematicsVerified email at abo.fi
Andrey SarantsevUniversity of Nevada, Reno. Department of Mathematics & StatisticsVerified email at unr.edu
Ricardas ZitikisSchool of Maths and Stats, Western University (London, Ontario)Verified email at stats.uwo.ca
Ed WaymireEmeritus Professor of Mathematics, Oregon State UniversityVerified email at math.oregonstate.edu

Davar Khoshnevisan

Professor of Mathematics, University of Utah

Verified email at math.utah.edu - Homepage

Probability Theory and Stochastic Processes Mathematical Physics


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Multiparameter processes: an introduction to random fields D Khoshnevisan Springer Science & Business Media, 2006	432	2006
Analysis of stochastic partial differential equations D Khoshnevisan American Mathematical Soc., 2014	243	2014
A minicourse on stochastic partial differential equations R Dalang Springer, 2009	242	2009
Sample path properties of anisotropic Gaussian random fields R Dalang, D Khoshnevisan, C Mueller, D Nualart, Y Xiao, Y Xiao A minicourse on stochastic partial differential equations, 145-212, 2009	215	2009
Intermittence and nonlinear parabolic stochastic partial differential equations M Foondun, D Khoshnevisan	166	2009
Hitting probabilities for systems of non-linear stochastic heat equations with additive noise RC Dalang, D Khoshnevisan, E Nualart arXiv preprint math/0702710, 2007	108	2007
Brownian sheet and capacity D Khoshnevisan, Z Shi The Annals of Probability 27 (3), 1135-1159, 1999	89	1999
Limsup random fractals D Khoshnevisan, Y Peres, Y Xiao	88	2000
On the stochastic heat equation with spatially-colored random forcing M Foondun, D Khoshnevisan Transactions of the American Mathematical Society 365 (1), 409-458, 2013	81	2013
A primer on stochastic partial differential equations D Khoshnevisan A Minicourse on Stochastic Partial Differential Equations. Lecture Notes in …, 1962	80*	1962
On the chaotic character of the stochastic heat equation, before the onset of intermitttency D Conus, M Joseph, D Khoshnevisan	79	2013
Hitting probabilities for systems of non-linear stochastic heat equations with multiplicative noise RC Dalang, D Khoshnevisan, E Nualart Probability theory and related fields 144 (3), 371-427, 2009	78	2009
The stochastic wave equation R Dalang, D Khoshnevisan, C Mueller, D Nualart, Y Xiao, RC Dalang A minicourse on stochastic partial differential equations, 39-71, 2009	75	2009
Measuring the range of an additive Lévy process D Khoshnevisan, Y Xiao, Y Zhong The Annals of Probability 31 (2), 1097-1141, 2003	72	2003
A law of the iterated logarithm for stable processes in random scenery D Khoshnevisan, TM Lewis Stochastic processes and their applications 74 (1), 89-121, 1998	72	1998
Probability D Khoshnevisan American Mathematical Soc., 2007	71	2007
Lévy processes: capacity and Hausdorff dimension D Khoshnevisan, Y Xiao	70	2005
Intermittency and multifractality: a case study via parabolic stochastic PDEs D Khoshnevisan, K Kim, Y Xiao	67	2017
Level sets of additive Lévy processes D Khoshnevisan, Y Xiao The Annals of Probability 30 (1), 62-100, 2002	65	2002
On the existence and position of the farthest peaks of a family of stochastic heat and wave equations D Conus, D Khoshnevisan Probability Theory and Related Fields 152 (3), 681-701, 2012	62	2012

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