Stilian Stoev

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George MichailidisProfessor of Statistics and Computer ScienceVerified email at ufl.edu
Yizao Wang 王一早University of CincinnatiVerified email at uc.edu
J. S. MarronUniversity of North CarolinaVerified email at unc.edu
Zheng GaoUniversity of MichiganVerified email at umich.edu
Michalis KallitsisAkamai TechnologiesVerified email at akamai.com
Shrijita BhattacharyaAssistant Professor, Michigan State UniversityVerified email at msu.edu
Piotr KokoszkaProfessor of Statistics, Colorado State UniversityVerified email at colostate.edu
Robert YuenUniversity of MichiganVerified email at umich.edu
Alexander RuzmaikinDr.Verified email at jpl.nasa.gov
Drew YargerPurdue UniversityVerified email at umich.edu
Parthanil RoyIndian Statistical Institute BangaloreVerified email at isical.ac.in
Vladas PipirasProfessor of Statistics and Operations Research, University of North CarolinaVerified email at email.unc.edu
Mark MeerschaertMichigan State UniversityVerified email at stt.msu.edu
Zakhar KabluchkoUniversity of MünsterVerified email at uni-muenster.de
George KolliosProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Mathieu RibatetFull professor of Statistics, Ecole Centrale de NantesVerified email at ec-nantes.fr
Clément Dombryprofesseur en probabilités appliquées et statistiquesVerified email at univ-fcomte.fr
Joshua FrenchUniversity of Colorado DenverVerified email at ucdenver.edu
Marios HadjieleftheriouAT&T Labs - ResearchVerified email at research.att.com
Hans Peter SchefflerProfessor of Mathematics, University of SiegenVerified email at mathematik.uni-siegen.de

Stilian Stoev

Professor of Statistics, University of Michigan, Ann Arbor

Verified email at umich.edu - Homepage

applied probability statistics computer networks extreme value theory stochastic processes


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Inference for dynamic and latent variable models via iterated, perturbed Bayes maps EL Ionides, D Nguyen, Y Atchadé, S Stoev, AA King Proceedings of the National Academy of Sciences 112 (3), 719-724, 2015	192	2015
Semi-parametric estimation of the long-range dependence parameter: A survey JM Bardet, G Lang, G Oppenheim, A Philippe, S Stoev, MS Taqqu Theory and applications of long-range dependence 557, 577, 2003	178	2003
Simulation methods for linear fractional stable motion and FARIMA using the Fast Fourier Transform S Stoev, MS Taqqu Fractals 12 (01), 95-121, 2004	174	2004
On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic S Stoev, MS Taqqu, C Park, JS Marron Computer Networks 48 (3), 423-445, 2005	146	2005
LASS: a tool for the local analysis of self-similarity S Stoev, MS Taqqu, C Park, G Michailidis, JS Marron Computational statistics & data analysis 50 (9), 2447-2471, 2006	120	2006
How rich is the class of multifractional Brownian motions? SA Stoev, MS Taqqu Stochastic processes and their applications 116 (2), 200-221, 2006	115	2006
Extremal stochastic integrals: a parallel between max-stable processes and α-stable processes SA Stoev, MS Taqqu Extremes 8 (4), 237-266, 2005	96	2005
Estimation of the self-similarity parameter in linear fractional stable motion S Stoev, V Pipiras, MS Taqqu Signal Processing 82 (12), 1873-1901, 2002	91	2002
Conditional sampling for spectrally discrete max-stable random fields Y Wang, SA Stoev Advances in Applied Probability 43 (2), 461-483, 2011	83	2011
On the structure and representations of max-stable processes Y Wang, SA Stoev Advances in Applied Probability 42 (3), 855-877, 2010	74	2010
On the ergodicity and mixing of max-stable processes SA Stoev Stochastic processes and their Applications 118 (9), 1679-1705, 2008	72	2008
Stochastic properties of the linear multifractional stable motion S Stoev, MS Taqqu Advances in applied probability 36 (4), 1085-1115, 2004	69	2004
Estimating heavy-tail exponents through max self–similarity SA Stoev, G Michailidis, MS Taqqu IEEE Transactions on Information Theory 57 (3), 1615-1636, 2011	50	2011
Path properties of the linear multifractional stable motion S Stoev, MS Taqqu Fractals 13 (02), 157-178, 2005	47	2005
Strengths and limitations of the wavelet spectrum method in the analysis of internet traffic S Stoev, M Taqqu, C Park, JS Marron Preprint, 2004	37	2004
Probabilities of concurrent extremes C Dombry, M Ribatet, S Stoev Journal of the American Statistical Association 113 (524), 1565-1582, 2018	36	2018
Ergodic properties of sum-and max-stable stationary random fields via null and positive group actions Y Wang, P Roy, SA Stoev	36	2013
AMON: An open source architecture for online monitoring, statistical analysis, and forensics of multi-gigabit streams M Kallitsis, SA Stoev, S Bhattacharya, G Michailidis IEEE Journal on Selected Areas in Communications 34 (6), 1834-1848, 2016	34	2016
On global modeling of backbone network traffic S Stoev, G Michailidis, J Vaughan 2010 Proceedings IEEE INFOCOM, 1-5, 2010	33	2010
Asymptotic self‐similarity and wavelet estimation for long‐range dependent fractional autoregressive integrated moving average time series with stable innovations S Stoev, MS Taqqu Journal of Time Series Analysis 26 (2), 211-249, 2005	32	2005

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