Haijun Li - Publications

Affiliations: 
Mathematics Washington State University, Pullman, WA, United States 
Area:
Probability, Stochastic Processes, Risk Analysis

21 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Joe H, Li H. Tail densities of skew-elliptical distributions Journal of Multivariate Analysis. 171: 421-435. DOI: 10.1016/J.Jmva.2019.01.009  0.331
2017 Li H. Operator Tail Dependence of Copulas Methodology and Computing in Applied Probability. 20: 1013-1027. DOI: 10.1007/S11009-017-9592-1  0.331
2015 Li H, Hua L. Higher order tail densities of copulas and hidden regular variation Journal of Multivariate Analysis. 138: 143-155. DOI: 10.1016/J.Jmva.2014.12.010  0.301
2014 Hua L, Joe H, Li H. Relations between hidden regular variation and the tail order of copulas Journal of Applied Probability. 51: 37-57. DOI: 10.1239/Jap/1395771412  0.332
2013 Li H, Wu P. Extremal dependence of copulas: A tail density approach Journal of Multivariate Analysis. 114: 99-111. DOI: 10.1016/J.Jmva.2012.07.005  0.456
2012 Zhu L, Li H. Tail distortion risk and its asymptotic analysis Insurance: Mathematics and Economics. 51: 115-121. DOI: 10.1016/J.Insmatheco.2012.03.010  0.316
2010 Joe H, Li H, Nikoloulopoulos AK. Tail dependence functions and vine copulas Journal of Multivariate Analysis. 101: 252-270. DOI: 10.1016/J.Jmva.2009.08.002  0.335
2009 Li H, Sun Y. Tail Dependence for Heavy-Tailed Scale Mixtures of Multivariate Distributions Journal of Applied Probability. 46: 925-937. DOI: 10.1239/Jap/1261670680  0.344
2009 Li H. Orthant tail dependence of multivariate extreme value distributions Journal of Multivariate Analysis. 100: 243-256. DOI: 10.1016/J.Jmva.2008.04.007  0.374
2008 Chan Y, Li H. Tail dependence for multivariate t -copulas and its monotonicity Insurance: Mathematics and Economics. 42: 763-770. DOI: 10.1016/J.Insmatheco.2007.08.008  0.343
2007 Cui L, Li H. Analytical method for reliability and MTTF assessment of coherent systems with dependent components Reliability Engineering & System Safety. 92: 300-307. DOI: 10.1016/J.Ress.2006.04.005  0.315
2007 Cai J, Li H. Dependence properties and bounds for ruin probabilities in multivariate compound risk models Journal of Multivariate Analysis. 98: 757-773. DOI: 10.1016/J.Jmva.2006.06.004  0.325
2007 Li H. Tail Dependence Comparison of Survival Marshall–Olkin Copulas Methodology and Computing in Applied Probability. 10: 39-54. DOI: 10.1007/S11009-007-9037-3  0.322
2005 Cai J, Li H. Conditional tail expectations for multivariate phase-type distributions Journal of Applied Probability. 42: 810-825. DOI: 10.1239/Jap/1127322029  0.326
2005 Cai J, Li H. Multivariate risk model of phase type Insurance Mathematics & Economics. 36: 137-152. DOI: 10.1016/J.Insmatheco.2004.11.004  0.315
2001 Kijima M, Li H, Shaked M. Stochastic processes in reliability Handbook of Statistics. 19: 471-510. DOI: 10.1016/S0169-7161(01)19017-6  0.326
2001 Li H, Xu SH. Stochastic Bounds and Dependence Properties of Survival Times in a Multicomponent Shock Model Journal of Multivariate Analysis. 76: 63-89. DOI: 10.1006/Jmva.2000.1906  0.366
2000 Li H, Xu SH. On the dependence structure and bounds of correlated parallel queues and their applications to synchronized stochastic systems Journal of Applied Probability. 37: 1020-1043. DOI: 10.1239/Jap/1014843081  0.309
1999 Li H, Scarsini M, Shaked M. Dynamic Linkages for Multivariate Distributions with Given Nonoverlapping Multivariate Marginals Journal of Multivariate Analysis. 68: 54-77. DOI: 10.1006/Jmva.1998.1783  0.34
1996 Li H, Scarsini M, Shaked M. Linkages: A tool for the construction of multivariate distributions with given nonoverlapping multivariate marginals Journal of Multivariate Analysis. 56: 20-41. DOI: 10.1006/Jmva.1996.0002  0.343
1993 Li H, Shaked M. Stochastic majorization of stochastically monotone families of random variables Advances in Applied Probability. 25: 895-913. DOI: 10.2307/1427797  0.335
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