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J
J.H.J. Einmahl
tilburg university
24
H指数
222
论文数
2.6K
被引数
0
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18
发表时间
发表时间
IF
被引数
Accurate estimates of ultimate 100-meter records
对终极100米记录的精确估计
Extremes
IF
2.2
2026-09-01
1
PRE
AI
Einmahl, John H. J.; He, Yi
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Variance-reduced risk inference in semi-supervised settings
半监督设置下的方差缩减风险推断
Scandinavian Actuarial Journal
IF
1.4
2025-11-01
0
PRE
AI
Einmahl, John H. J.; Peng, Liang
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EMPIRICAL LIKELIHOOD BASED TESTING FOR MULTIVARIATE REGULAR VARIATION
ANNALS OF STATISTICS
IF
3.7
2025-02-01
0
PRE
AI
Einmahl, John h. j.; Krajina, Andrea; Cai, Juan juan
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Extreme Value Statistics in Semi-Supervised Models
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
IF
3
2024-05-15
0
OA
AI
Ahmed, Hanan; Einmahl, John H. J.; Zhou, Chen
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EXTREME VALUE INFERENCE FOR HETEROGENEOUS POWER LAW DATA
ANNALS OF STATISTICS
IF
3.7
2023-06-01
0
OA
AI
Einmahl, John H. J.; He, Yi
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CUBE ROOT WEAK CONVERGENCE OF EMPIRICAL ESTIMATORS OF A DENSITY LEVEL SET
ANNALS OF STATISTICS
IF
3.7
2022-06-01
0
PRE
AI
Berthet, Philippe; Einmahl, John H. J.
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SPATIAL DEPENDENCE AND SPACE-TIME TREND IN EXTREME EVENTS
ANNALS OF STATISTICS
IF
3.7
2022-02-01
2
OA
AI
Einmahl, John H. J.; Ferreira, Ana; de Haan, Laurens; Neves, Claudia; Zhou, Chen
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EMPIRICAL TAIL COPULAS FOR FUNCTIONAL DATA
功能数据的经验尾部COPULAS
ANNALS OF STATISTICS
IF
3.7
2021-10-01
1
OA
AI
Einmahl, John H. J.; Segers, Johan
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Estimation of extreme depth-based quantile regions
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
IF
3.6
2016-02-24
15
OA
AI
He, Yi; Einmahl, John H. J.
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An M-estimator of spatial tail dependence
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
IF
3.6
2015-04-06
34
OA
AI
Einmahl, John H. J.; Kiriliouk, Anna; Krajina, Andrea; Segers, Johan
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Statistics of heteroscedastic extremes
异方差极值的统计
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
IF
3.6
2014-12-13
61
OA
AI
Einmahl, John H. J.; de Haan, Laurens; Zhou, Chen
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Estimation of the marginal expected shortfall: the mean when a related variable is extreme
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
IF
3.6
2014-05-15
74
OA
AI
Cai, Juan-Juan; Einmahl, John H. J.; de Haan, Laurens; Zhou, Chen
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Records in Athletics Through Extreme-Value Theory
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
IF
3
2012-01-01
46
OA
AI
Einmahl, John H. J.; Magnus, Jan R.
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ESTIMATION OF EXTREME RISK REGIONS UNDER MULTIVARIATE REGULAR VARIATION
ANNALS OF STATISTICS
IF
3.7
2011-06-01
34
OA
AI
Cai, Juan-Juan; Einmahl, John H. J.; De Haan, Laurens
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Thresholding Events of Extreme in Simultaneous Monitoring of Multiple Risks
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
IF
3
2009-09-01
16
PRE
AI
Einmahl, John H. J.; Li, Jun; Liu, Regina Y.
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Specification tests in nonparametric regression
非参数回归中的规范检验
JOURNAL OF ECONOMETRICS
IF
4
2008-03-01
43
OA
AI
Einmahl, John H. J.; Van Keilegom, Ingrid
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Weighted approximations of tail copula processes with application to testing the bivariate extreme value condition
ANNALS OF STATISTICS
IF
3.7
2006-08-01
45
OA
AI
Einmahl, John H. J.; De Haan, Laurens; Li, Deyuan
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Asymptotic normality of extreme value estimators on C[0,1]
ANNALS OF STATISTICS
IF
3.7
2006-02-01
12
OA
AI
Einmahl, John H. J.; Lin, Tao
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研究方向
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合作学者
合作期刊
L
Laurens de Haan
H 指数: 52 · 论文数: 218
J
Jan R. Magnus
H 指数: 42 · 论文数: 428
J
Johan Segers
H 指数: 37 · 论文数: 277
I
Ingrid Van Keilegom
H 指数: 35 · 论文数: 337
L
Liang Peng
H 指数: 32 · 论文数: 236
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