Year |
Citation |
Score |
2020 |
Yuen R, Stoev SA, Cooley D. Distributionally robust inference for extreme Value-at-Risk Insurance Mathematics & Economics. 92: 70-89. DOI: 10.1016/J.Insmatheco.2020.03.003 |
0.343 |
|
2019 |
Bhattacharya S, Kallitsis M, Stoev S. Data-adaptive trimming of the Hill estimator and detection of outliers in the extremes of heavy-tailed data Electronic Journal of Statistics. 13: 1872-1925. DOI: 10.1214/19-Ejs1561 |
0.346 |
|
2019 |
Stoev S, Wang Y. Exchangeable random partitions from max-infinitely-divisible distributions Statistics & Probability Letters. 146: 50-56. DOI: 10.1016/J.Spl.2018.11.008 |
0.324 |
|
2018 |
Dombry C, Ribatet M, Stoev S. Probabilities of concurrent extremes Journal of the American Statistical Association. 113: 1565-1582. DOI: 10.1080/01621459.2017.1356318 |
0.42 |
|
2018 |
Stoev SA, Bhattacharya S. Inference on the endpoint of human lifespan and its inherent statistical difficulty Extremes. 21: 391-404. DOI: 10.1007/S10687-018-0320-1 |
0.348 |
|
2017 |
Scheffler HP, Stoev S. Implicit extremes and implicit max–stable laws Extremes. 20: 265-299. DOI: 10.1007/S10687-016-0278-9 |
0.339 |
|
2016 |
Bagchi P, Banerjee M, Stoev SA. Inference for Monotone Functions Under Short- and Long-Range Dependence: Confidence Intervals and New Universal Limits Journal of the American Statistical Association. 111: 1634-1647. DOI: 10.1080/01621459.2015.1100622 |
0.425 |
|
2015 |
Ionides EL, Nguyen D, Atchadé Y, Stoev S, King AA. Inference for dynamic and latent variable models via iterated, perturbed Bayes maps. Proceedings of the National Academy of Sciences of the United States of America. 112: 719-24. PMID 25568084 DOI: 10.1073/Pnas.1410597112 |
0.342 |
|
2014 |
Yuen R, Stoev S. Upper bounds on value-at-risk for the maximum portfolio loss Extremes. 17: 585-614. DOI: 10.1007/S10687-014-0198-5 |
0.359 |
|
2014 |
Yuen R, Stoev S. CRPS M-estimation for max-stable models Extremes. 17: 387-410. DOI: 10.1007/S10687-014-0185-X |
0.438 |
|
2013 |
Hamidieh K, Stoev S, Michailidis G. Intensity-based estimation of extreme loss event probability and value at risk Applied Stochastic Models in Business and Industry. 29: 171-186. DOI: 10.1002/Asmb.1915 |
0.357 |
|
2012 |
Hamidieh K, Stoev S, Michailidis G. Intensity Based Estimation of Extreme Loss Event Probability and Value-at-Risk Applied Stochastic Models in Business and Industry. 29: 171-186. DOI: 10.2139/Ssrn.1107538 |
0.356 |
|
2012 |
Wang Y, Stoev SA, Roy P. Decomposability for stable processes Stochastic Processes and Their Applications. 122: 1093-1109. DOI: 10.1016/J.Spa.2011.11.007 |
0.351 |
|
2011 |
Wang Y, Stoev SA. Conditional sampling for spectrally discrete max-stable random fields Advances in Applied Probability. 43: 461-483. DOI: 10.1239/Aap/1308662488 |
0.341 |
|
2011 |
Stoev SA, Michailidis G, Taqqu MS. Estimating heavy-tail exponents through max self-similarity Ieee Transactions On Information Theory. 57: 1615-1636. DOI: 10.1109/Tit.2010.2103751 |
0.629 |
|
2011 |
Ruzmaikin A, Feynman J, Stoev SA. Distribution and clustering of fast coronal mass ejections Journal of Geophysical Research: Space Physics. 116. DOI: 10.1029/2010Ja016247 |
0.333 |
|
2010 |
Wang Y, Stoev SA. On the structure and representations of max-stable processes Advances in Applied Probability. 42: 855-877. DOI: 10.1239/Aap/1282924066 |
0.375 |
|
2010 |
Wang Y, Stoev SA. On the association of sum- and max-stable processes Statistics and Probability Letters. 80: 480-488. DOI: 10.1016/J.Spl.2009.12.001 |
0.336 |
|
2010 |
Stoev SA, Michailidis G. On the estimation of the heavy-tail exponent in time series using the max-spectrum Applied Stochastic Models in Business and Industry. 26: 224-253. DOI: 10.1002/Asmb.V26:3 |
0.488 |
|
2009 |
Hamidieh K, Stoev S, Michailidis G. On the estimation of the extremal index based on scaling and resampling Journal of Computational and Graphical Statistics. 49: 731-755. DOI: 10.1198/Jcgs.2009.08065 |
0.45 |
|
2009 |
Meerschaert MM, Stoev SA. Extremal limit theorems for observations separated by random power law waiting times Journal of Statistical Planning and Inference. 139: 2175-2188. DOI: 10.1016/J.Jspi.2008.10.005 |
0.4 |
|
2008 |
Stoev SA. On the ergodicity and mixing of max-stable processes Stochastic Processes and Their Applications. 118: 1679-1705. DOI: 10.1016/J.Spa.2007.10.013 |
0.394 |
|
2008 |
Conti PL, De Giovanni L, Stoev SA, Taqqu MS. Confidence intervals for the long memory parameter based on wavelets and resampling Statistica Sinica. 18: 559-579. |
0.546 |
|
2007 |
Stoev SA, Hadjieleftheriou M, Kollios G, Taqqu MS. Norm, point, and distance estimation over multiple signals using max-stable distributions Proceedings - International Conference On Data Engineering. 1006-1015. DOI: 10.1109/ICDE.2007.368959 |
0.531 |
|
2007 |
Park C, Godtliebsen F, Taqqu M, Stoev S, Marron JS. Visualization and inference based on wavelet coefficients, SiZer and SiNos Computational Statistics and Data Analysis. 51: 5994-6012. DOI: 10.1016/J.Csda.2006.11.037 |
0.563 |
|
2007 |
Stoev SA, Taqqu MS. Limit theorems for sums of heavy-tailed variables with random dependent weights Methodology and Computing in Applied Probability. 9: 55-87. DOI: 10.1007/S11009-006-9011-5 |
0.552 |
|
2006 |
Stoev SA, Taqqu MS. How rich is the class of multifractional Brownian motions? Stochastic Processes and Their Applications. 116: 200-221. DOI: 10.1016/J.Spa.2005.09.007 |
0.603 |
|
2006 |
Stoev S, Taqqu MS, Park C, Michailidis G, Marron JS. LASS: A tool for the local analysis of self-similarity Computational Statistics and Data Analysis. 50: 2447-2471. DOI: 10.1016/J.Csda.2004.12.014 |
0.619 |
|
2005 |
Stoev S, Taqqu MS. Path properties of the linear multifractional stable motion Fractals. 13: 157-178. DOI: 10.1142/S0218348X05002775 |
0.579 |
|
2005 |
Stoev S, Taqqu MS. Asymptotic self-similarity and wavelet estimation for long-range dependent fractional autoregressive integrated moving average time series with stable innovations Journal of Time Series Analysis. 26: 211-249. DOI: 10.1111/J.1467-9892.2005.00399.X |
0.643 |
|
2005 |
Stoev S, Taqqu MS, Park C, Marron JS. On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic Computer Networks. 48: 423-445. DOI: 10.1016/J.Comnet.2004.11.017 |
0.609 |
|
2005 |
Stoev SA, Taqqu MS. Extremal stochastic integrals: A parallel between max-stable processes and α-stable processes Extremes. 8: 237-266. DOI: 10.1007/S10687-006-0004-0 |
0.547 |
|
2004 |
Stoev S, Taqqu MS. Stochastic properties of the linear multifractional stable motion Advances in Applied Probability. 36: 1085-1115. DOI: 10.1239/Aap/1103662959 |
0.597 |
|
2004 |
Stoev S, Taqqu MS. Simulation methods for linear fractional stable motion and farima using the fast fourier transform Fractals. 12: 95-121. DOI: 10.1142/S0218348X04002379 |
0.602 |
|
2002 |
Stoev S, Pipiras V, Taqqu MS. Estimation of the self-similarity parameter in linear fractional stable motion Signal Processing. 82: 1873-1901. DOI: 10.1016/S0165-1684(02)00317-1 |
0.703 |
|
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