| Year |
Citation |
Score |
| 2020 |
Krupskii P, Joe H. Flexible copula models with dynamic dependence and application to financial data Econometrics and Statistics. DOI: 10.1016/J.Ecosta.2020.01.005 |
0.415 |
|
| 2019 |
Fernández-Fontelo A, Cabaña A, Joe H, Puig P, Moriña D. Untangling serially dependent underreported count data for gender-based violence. Statistics in Medicine. PMID 31359489 DOI: 10.1002/Sim.8306 |
0.347 |
|
| 2019 |
Joe H. Likelihood Inference for Generalized Integer Autoregressive Time Series Models Econometrics. 7: 43. DOI: 10.3390/Econometrics7040043 |
0.39 |
|
| 2019 |
Krupskii P, Joe H. Nonparametric estimation of multivariate tail probabilities and tail dependence coefficients Journal of Multivariate Analysis. 172: 147-161. DOI: 10.1016/J.Jmva.2019.02.013 |
0.393 |
|
| 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 |
0.317 |
|
| 2019 |
Chang B, Joe H. Prediction based on conditional distributions of vine copulas Computational Statistics & Data Analysis. 139: 45-63. DOI: 10.1016/J.Csda.2019.04.015 |
0.381 |
|
| 2019 |
Cooke RM, Joe H, Chang B. Vine copula regression for observational studies Asta Advances in Statistical Analysis. 104: 141-167. DOI: 10.1007/S10182-019-00353-5 |
0.371 |
|
| 2018 |
Krupskii P, Joe H, Lee D, Genton MG. Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler–Reiß distribution Journal of Multivariate Analysis. 163: 80-95. DOI: 10.1016/J.Jmva.2017.10.006 |
0.415 |
|
| 2018 |
Joe H. Parsimonious graphical dependence models constructed from vines Canadian Journal of Statistics. 46: 532-555. DOI: 10.1002/Cjs.11481 |
0.309 |
|
| 2017 |
Lee D, Joe H, Krupskii P. Tail-weighted dependence measures with limit being the tail dependence coefficient Journal of Nonparametric Statistics. 30: 262-290. DOI: 10.1080/10485252.2017.1407414 |
0.337 |
|
| 2017 |
Hua L, Joe H. Multivariate dependence modeling based on comonotonic factors Journal of Multivariate Analysis. 155: 317-333. DOI: 10.1016/J.Jmva.2017.01.008 |
0.388 |
|
| 2017 |
Panagiotelis A, Czado C, Joe H, Stöber J. Model selection for discrete regular vine copulas Computational Statistics & Data Analysis. 106: 138-152. DOI: 10.1016/J.Csda.2016.09.007 |
0.365 |
|
| 2017 |
Joe H. Dependence Properties of Conditional Distributions of some Copula Models Methodology and Computing in Applied Probability. 20: 975-1001. DOI: 10.1007/S11009-017-9544-9 |
0.421 |
|
| 2017 |
Lee D, Joe H. Multivariate extreme value copulas with factor and tree dependence structures Extremes. 21: 147-176. DOI: 10.1007/S10687-017-0298-0 |
0.372 |
|
| 2016 |
Ng CT, Joe H. Comparison of non-nested models under a general measure of distance Journal of Statistical Planning and Inference. 170: 166-185. DOI: 10.1016/J.Jspi.2015.10.004 |
0.373 |
|
| 2016 |
Joe H, Sang P. Multivariate models for dependent clusters of variables with conditional independence given aggregation variables Computational Statistics and Data Analysis. 97: 114-132. DOI: 10.1016/J.Csda.2015.12.001 |
0.359 |
|
| 2015 |
Nikoloulopoulos AK, Joe H. Factor copula models for item response data. Psychometrika. 80: 126-50. PMID 24297437 DOI: 10.1007/S11336-013-9387-4 |
0.397 |
|
| 2015 |
Krupskii P, Joe H. Tail-weighted measures of dependence Journal of Applied Statistics. 42: 614-629. DOI: 10.1080/02664763.2014.980787 |
0.386 |
|
| 2015 |
Brechmann EC, Joe H. Truncation of vine copulas using fit indices Journal of Multivariate Analysis. 138: 19-33. DOI: 10.1016/J.Jmva.2015.02.012 |
0.359 |
|
| 2015 |
Krupskii P, Joe H. Structured factor copula models: Theory, inference and computation Journal of Multivariate Analysis. 138: 53-73. DOI: 10.1016/J.Jmva.2014.11.002 |
0.398 |
|
| 2014 |
Maydeu-Olivares A, Joe H. Assessing Approximate Fit in Categorical Data Analysis. Multivariate Behavioral Research. 49: 305-28. PMID 26765800 DOI: 10.1080/00273171.2014.911075 |
0.413 |
|
| 2014 |
Ng CT, Joe H. Model comparison with composite likelihood information criteria Bernoulli. 20: 1738-1764. DOI: 10.3150/13-Bej539 |
0.34 |
|
| 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 |
0.359 |
|
| 2014 |
Hua L, Joe H. Strength of tail dependence based on conditional tail expectation Journal of Multivariate Analysis. 123: 143-159. DOI: 10.1016/J.Jmva.2013.09.001 |
0.349 |
|
| 2014 |
Brechmann EC, Joe H. Parsimonious parameterization of correlation matrices using truncated vines and factor analysis Computational Statistics and Data Analysis. 77: 233-251. DOI: 10.1016/J.Csda.2014.03.002 |
0.401 |
|
| 2013 |
Krupskii P, Joe H. Factor copula models for multivariate data Journal of Multivariate Analysis. 120: 85-101. DOI: 10.1016/J.Jmva.2013.05.001 |
0.388 |
|
| 2013 |
Stöber J, Joe H, Czado C. Simplified pair copula constructions-Limitations and extensions Journal of Multivariate Analysis. 119: 101-118. DOI: 10.1016/J.Jmva.2013.04.014 |
0.39 |
|
| 2013 |
Nolde N, Joe H. A Bayesian extreme value analysis of debris flows Water Resources Research. 49: 7009-7022. DOI: 10.1002/Wrcr.20494 |
0.331 |
|
| 2012 |
Hua L, Joe H. Tail comonotonicity and conservative risk measures Astin Bulletin. 42: 601-629. DOI: 10.2143/Ast.42.2.2182810 |
0.339 |
|
| 2012 |
Panagiotelis A, Czado C, Joe H. Pair copula constructions for multivariate Discrete Data Journal of the American Statistical Association. 107: 1063-1072. DOI: 10.1080/01621459.2012.682850 |
0.388 |
|
| 2012 |
Joe H, Seshadri V, Arnold BC. Multivariate inverse Gaussian and skew-normal densities Statistics and Probability Letters. 82: 2244-2251. DOI: 10.1016/J.Spl.2012.08.004 |
0.367 |
|
| 2012 |
Hua L, Joe H. Tail comonotonicity: Properties, constructions, and asymptotic additivity of risk measures Insurance: Mathematics and Economics. 51: 492-503. DOI: 10.1016/J.Insmatheco.2012.07.006 |
0.378 |
|
| 2012 |
Nikoloulopoulos AK, Joe H, Li H. Vine copulas with asymmetric tail dependence and applications to financial return data Computational Statistics and Data Analysis. 56: 3659-3673. DOI: 10.1016/J.Csda.2010.07.016 |
0.349 |
|
| 2011 |
Nikoloulopoulos AK, Joe H, Chaganty NR. Weighted scores method for regression models with dependent data. Biostatistics (Oxford, England). 12: 653-65. PMID 21436109 DOI: 10.1093/Biostatistics/Kxr005 |
0.411 |
|
| 2011 |
Hua L, Joe H. Tail order and intermediate tail dependence of multivariate copulas Journal of Multivariate Analysis. 102: 1454-1471. DOI: 10.1016/J.Jmva.2011.05.011 |
0.376 |
|
| 2011 |
Hua L, Joe H. Second order regular variation and conditional tail expectation of multiple risks Insurance: Mathematics and Economics. 49: 537-546. DOI: 10.1016/J.Insmatheco.2011.08.013 |
0.33 |
|
| 2011 |
El-Shaarawi AH, Zhu R, Joe H. Modelling species abundance using the Poisson-Tweedie family Environmetrics. 22: 152-164. DOI: 10.1002/Env.1036 |
0.408 |
|
| 2010 |
Zhu R, Joe H. Count data time series models based on expectation thinning Stochastic Models. 26: 431-462. DOI: 10.1080/15326349.2010.498318 |
0.375 |
|
| 2010 |
Zhu R, Joe H. Negative binomial time series models based on expectation thinning operators Journal of Statistical Planning and Inference. 140: 1874-1888. DOI: 10.1016/J.Jspi.2010.01.031 |
0.38 |
|
| 2010 |
Ng CT, Joe H. Generating random AR(p) and MA(q) Toeplitz correlation matrices Journal of Multivariate Analysis. 101: 1532-1545. DOI: 10.1016/J.Jmva.2010.01.013 |
0.343 |
|
| 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 |
0.334 |
|
| 2010 |
Joe H, Maydeu-Olivares A. A general family of limited information goodness-of-fit statistics for multinomial data Psychometrika. 75: 393-419. DOI: 10.1007/S11336-010-9165-5 |
0.407 |
|
| 2009 |
Willems G, Joe H, Zamar R. Diagnosing multivariate outliers detected by robust estimators Journal of Computational and Graphical Statistics. 18: 73-91. DOI: 10.1198/Jcgs.2009.0005 |
0.351 |
|
| 2009 |
Zhu R, Joe H. Modelling heavy-tailed count data using a generalised Poisson-inverse Gaussian family Statistics and Probability Letters. 79: 1695-1703. DOI: 10.1016/J.Spl.2009.04.011 |
0.408 |
|
| 2009 |
Lewandowski D, Kurowicka D, Joe H. Generating random correlation matrices based on vines and extended onion method Journal of Multivariate Analysis. 100: 1989-2001. DOI: 10.1016/J.Jmva.2009.04.008 |
0.353 |
|
| 2009 |
Joe H, Lee Y. On weighting of bivariate margins in pairwise likelihood Journal of Multivariate Analysis. 100: 670-685. DOI: 10.1016/J.Jmva.2008.07.004 |
0.327 |
|
| 2008 |
Joe H. Accuracy of Laplace approximation for discrete response mixed models Computational Statistics and Data Analysis. 52: 5066-5074. DOI: 10.1016/J.Csda.2008.05.002 |
0.383 |
|
| 2008 |
Zhao Y, Joe H. Inferences for odds ratio with dependent pairs Test. 17: 101-119. DOI: 10.1007/S11749-006-0025-7 |
0.625 |
|
| 2006 |
Zhu R, Joe H. Modelling count data time series with Markov processes based on binomial thinning Journal of Time Series Analysis. 27: 725-738. DOI: 10.1111/J.1467-9892.2006.00485.X |
0.407 |
|
| 2006 |
Chaganty NR, Joe H. Range of correlation matrices for dependent Bernoulli random variables Biometrika. 93: 197-206. DOI: 10.1093/Biomet/93.1.197 |
0.334 |
|
| 2006 |
Joe H. Generating random correlation matrices based on partial correlations Journal of Multivariate Analysis. 97: 2177-2189. DOI: 10.1016/J.Jmva.2005.05.010 |
0.303 |
|
| 2006 |
Qiu W, Joe H. Separation index and partial membership for clustering Computational Statistics and Data Analysis. 50: 585-603. DOI: 10.1016/J.Csda.2004.09.009 |
0.543 |
|
| 2006 |
Maydeu-Olivares A, Joe H. Limited information goodness-of-fit testing in multidimensional contingency tables Psychometrika. 71: 713-732. DOI: 10.1007/S11336-005-1295-9 |
0.406 |
|
| 2006 |
Joe H, Maydeu-Olivares A. On the asymptotic distribution of pearson's X 2 in cross-validation samples Psychometrika. 71: 587-592. DOI: 10.1007/S11336-005-1284-Z |
0.324 |
|
| 2006 |
Qiu W, Joe H. Generation of random clusters with specified degree of separation Journal of Classification. 23: 315-334. DOI: 10.1007/S00357-006-0018-Y |
0.553 |
|
| 2005 |
Joe H, Zhu R. Generalized Poisson distribution: the property of mixture of Poisson and comparison with negative binomial distribution. Biometrical Journal. Biometrische Zeitschrift. 47: 219-29. PMID 16389919 DOI: 10.1002/Bimj.200410102 |
0.372 |
|
| 2005 |
Maydeu-Olivares A, Joe H. Limited- And full-information estimation and goodness-of-fit testing in 2n contingency tables: A unified framework Journal of the American Statistical Association. 100: 1009-1020. DOI: 10.1198/016214504000002069 |
0.404 |
|
| 2005 |
Joe H. Asymptotic efficiency of the two-stage estimation method for copula-based models Journal of Multivariate Analysis. 94: 401-419. DOI: 10.1016/J.Jmva.2004.06.003 |
0.38 |
|
| 2005 |
Joe H, Mahbub-ul Latif AHM. Computations for the familial analysis of binary traits Computational Statistics. 20: 439-448. DOI: 10.1007/Bf02741307 |
0.358 |
|
| 2005 |
Zhao Y, Joe H. Composite likelihood estimation in multivariate data analysis Canadian Journal of Statistics. 33: 335-356. DOI: 10.1002/Cjs.5540330303 |
0.609 |
|
| 2004 |
Chaganty NR, Joe H. Efficiency of generalized estimating equations for binary responses Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66: 851-860. DOI: 10.1111/J.1467-9868.2004.05741.X |
0.329 |
|
| 2003 |
Woods R, Friedman JM, Evans DG, Baser ME, Joe H. Exploring the "two-hit hypothesis" in NF2: tests of two-hit and three-hit models of vestibular schwannoma development. Genetic Epidemiology. 24: 265-72. PMID 12687643 DOI: 10.1002/Gepi.10238 |
0.312 |
|
| 2003 |
Zhu R, Joe H. A new type of discrete self-decomposability and its application to continuous-time Markov processes for modeling count data time series Stochastic Models. 19: 235-254. DOI: 10.1081/Stm-120020388 |
0.333 |
|
| 2003 |
Joe H, Nash JC. Numerical optimization and surface estimation with imprecise function evaluations Statistics and Computing. 13: 277-286. DOI: 10.1023/A:1024226918553 |
0.323 |
|
| 2002 |
Zhao Y, Kumar RA, Baser ME, Evans DG, Wallace A, Kluwe L, Mautner VF, Parry DM, Rouleau GA, Joe H, Friedman JM. Intrafamilial correlation of clinical manifestations in neurofibromatosis 2 (NF2). Genetic Epidemiology. 23: 245-59. PMID 12384977 DOI: 10.1002/Gepi.10181 |
0.583 |
|
| 2002 |
Joe H. Stochastic orderings in random utility models Mathematical Social Sciences. 43: 391-404. DOI: 10.1016/S0165-4896(02)00018-5 |
0.331 |
|
| 2001 |
Joe H. Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities. Journal of Mathematical Psychology. 45: 180-188. PMID 11178929 DOI: 10.1006/Jmps.1999.1294 |
0.382 |
|
| 2000 |
Joe H. Methodology and Computing in Applied Probability. 2: 359-372. DOI: 10.1023/A:1010058117460 |
0.385 |
|
| 2000 |
Joe H, Ma C. Multivariate Survival Functions with a Min-Stable Property Journal of Multivariate Analysis. 75: 13-35. DOI: 10.1006/Jmva.1999.1891 |
0.313 |
|
| 1998 |
Ringrose T, Joe H. Multivariate Models and Dependence Concepts. Biometrics. 54: 1201. DOI: 10.2307/2533875 |
0.326 |
|
| 1998 |
Regenwetter M, Marley AAJ, Joe H. Random utility threshold models of subset choice Australian Journal of Psychology. 50: 175-185. DOI: 10.1080/00049539808258794 |
0.361 |
|
| 1996 |
Joe H. Time series models with univariate margins in the convolution-closed infinitely divisible class Journal of Applied Probability. 33: 664-677. DOI: 10.2307/3215348 |
0.378 |
|
| 1996 |
Joe H, Liu Y. A model for a multivariate binary response with covariates based on compatible conditionally specified logistic regressions Statistics and Probability Letters. 31: 113-120. DOI: 10.1016/S0167-7152(96)00021-1 |
0.385 |
|
| 1996 |
Joe H, Steyn DG, Susko E. Analysis of trends in tropospheric ozone in the Lower Fraser Valley, British Columbia Atmospheric Environment. 30: 3413-3421. DOI: 10.1016/1352-2310(96)00045-3 |
0.371 |
|
| 1996 |
Joe H, Hu T. Multivariate distributions from mixtures of max-infinitely divisible distributions Journal of Multivariate Analysis. 57: 240-265. DOI: 10.1006/Jmva.1996.0032 |
0.374 |
|
| 1995 |
Joe H. Approximations to multivariate normal rectangle probabilities based on conditional expectations Journal of the American Statistical Association. 90: 957-964. DOI: 10.1080/01621459.1995.10476596 |
0.405 |
|
| 1994 |
Joe H. Multivariate extreme-value distributions with applications to environmental data Canadian Journal of Statistics. 22: 47-64. DOI: 10.2307/3315822 |
0.386 |
|
| 1993 |
Joe H. Multivariate dependence measures and data analysis Computational Statistics and Data Analysis. 16: 279-297. DOI: 10.1016/0167-9473(93)90130-L |
0.355 |
|
| 1993 |
Joe H. Tests of uniformity for sets of lotto numbers Statistics and Probability Letters. 16: 181-188. DOI: 10.1016/0167-7152(93)90141-5 |
0.308 |
|
| 1993 |
Joe H. Parametric Families of Multivariate Distributions with Given Margins Journal of Multivariate Analysis. 46: 262-282. DOI: 10.1006/Jmva.1993.1061 |
0.341 |
|
| 1992 |
Joe H, Smith RL, Weissman I. Bivariate Threshold Methods for Extremes Journal of the Royal Statistical Society: Series B (Methodological). 54: 171-183. DOI: 10.1111/J.2517-6161.1992.Tb01871.X |
0.384 |
|
| 1992 |
Fang Z, Joe H. Further developments on some dependence orderings for continuous bivariate distributions Annals of the Institute of Statistical Mathematics. 44: 501-517. DOI: 10.1007/Bf00050701 |
0.366 |
|
| 1990 |
Joe H. Extended Use of Paired Comparison Models, with Application to Chess Rankings Applied Statistics. 39: 85. DOI: 10.2307/2347814 |
0.381 |
|
| 1990 |
Joe H. Families of min-stable multivariate exponential and multivariate extreme value distributions Statistics and Probability Letters. 9: 75-81. DOI: 10.1016/0167-7152(90)90098-R |
0.37 |
|
| 1989 |
Joe H. Statistical Inference for General-Order-Statistics and Nonhomogeneous-Poisson-Process Software Reliability Models Ieee Transactions On Software Engineering. 15: 1485-1490. DOI: 10.1109/32.41340 |
0.36 |
|
| 1989 |
Joe H. Relative entropy measures of multivariate dependence Journal of the American Statistical Association. 84: 157-164. DOI: 10.1080/01621459.1989.10478751 |
0.372 |
|
| 1989 |
Joe H. Estimation of entropy and other functionals of a multivariate density Annals of the Institute of Statistical Mathematics. 41: 683-697. DOI: 10.1007/Bf00057735 |
0.323 |
|
| 1987 |
Joe H. An ordering of dependence for distribution ofK-tuples, with applications to lotto games Canadian Journal of Statistics. 15: 227-238. DOI: 10.2307/3314913 |
0.305 |
|
| 1987 |
Joe H. Estimation of quantiles of the maximum of n observations Biometrika. 74: 347-354. DOI: 10.1093/Biomet/74.2.347 |
0.345 |
|
| 1985 |
Joe H, Reid N. Estimating the number of faults in a system Journal of the American Statistical Association. 80: 222-226. DOI: 10.1080/01621459.1985.10477165 |
0.308 |
|
| 1983 |
Joe H, Proschan F. Tests For Properties Of The Percentile Residual Life Function Communications in Statistics - Theory and Methods. 12: 1087-1119. DOI: 10.1080/03610928308828518 |
0.302 |
|
| 1981 |
Joe H, Koziol JA, Petkau AJ. Comparison of procedures for testing the equality of survival distributions Biometrics. 37: 327-340. PMID 7272418 DOI: 10.14288/1.0080351 |
0.324 |
|
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