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subject:"Statistical theory"
subject:"Regressionsanalyse"
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300
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112
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1
Diagnostic tests before modeling longitudinal actuarial data
Li, Yinhuan
;
Fung, Tsz Chai
;
Peng, Liang
;
Qian, Linyi
- In:
Insurance / Mathematics & economics
113
(
2023
),
pp. 310-325
Persistent link: https://www.econbiz.de/10014466218
Saved in:
2
Statistical inference for extreme extremile in heavy-tailed heteroscedastic regression model
Chen, Yu
;
Ma, Mengyuan
;
Sun, Hongfang
- In:
Insurance / Mathematics & economics
111
(
2023
),
pp. 142-162
Persistent link: https://www.econbiz.de/10014317142
Saved in:
3
Deep quantile and deep composite triplet regression
Fissler, Tobias
;
Merz, Michael
;
Wüthrich, Mario V.
- In:
Insurance / Mathematics & economics
109
(
2023
),
pp. 94-112
Persistent link: https://www.econbiz.de/10014282471
Saved in:
4
Hierarchical Bayesian Gaussian process regression model for loss reserving using combinations of squared exponential kernels
Ang, Zi Qing
;
Lee, See Keong
- In:
Insurance / Mathematics & economics
105
(
2022
),
pp. 54-63
Persistent link: https://www.econbiz.de/10013348919
Saved in:
5
Mortality modeling and regression with matrix distributions
Albrecher, Hansjörg
;
Bladt, Martin
;
Bladt, Mogens
; …
- In:
Insurance / Mathematics & economics
107
(
2022
),
pp. 68-87
Persistent link: https://www.econbiz.de/10013471186
Saved in:
6
Sparse regression with multi-type regularized feature modeling
Devriendt, Sander
;
Antonio, Katrien
;
Reynkens, Tom
; …
- In:
Insurance / Mathematics & economics
96
(
2021
),
pp. 248-261
Persistent link: https://www.econbiz.de/10012482890
Saved in:
7
Univariate and multivariate claims reserving with generalized link ratios
Portugal, Luís
;
Pantelous, Athanasios A.
;
Verrall, Richard
- In:
Insurance / Mathematics & economics
97
(
2021
),
pp. 57-67
Persistent link: https://www.econbiz.de/10012491961
Saved in:
8
Joint generalized quantile and conditional tail expectation regression for insurance risk analysis
Guillén, Montserrat
;
Bermúdez, Lluís
;
Pitarque, Albert
- In:
Insurance / Mathematics & economics
99
(
2021
),
pp. 1-8
Persistent link: https://www.econbiz.de/10012649203
Saved in:
9
Risk analysis with categorical explanatory variables
Kang, Seul Ki
;
Peng, Liang
;
Xiao, Hongmin
- In:
Insurance / Mathematics & economics
91
(
2020
),
pp. 238-243
Persistent link: https://www.econbiz.de/10012242018
Saved in:
10
Regression based reserving models and partial information
Lindholm, Mathias
;
Verrall, Richard
- In:
Insurance / Mathematics & economics
94
(
2020
),
pp. 109-124
Persistent link: https://www.econbiz.de/10012419147
Saved in:
11
Rank-based inference tools for copula regression, with property and casualty insurance applications
Côté, Marie-Pier
;
Genest, Christian
;
Omelka, Marek
- In:
Insurance / Mathematics & economics
89
(
2019
),
pp. 1-15
Persistent link: https://www.econbiz.de/10012133498
Saved in:
12
Evaluation of driving risk at different speeds
Gao, Guangyuan
;
Wüthrich, Mario V.
;
Yang, Hanfang
- In:
Insurance / Mathematics & economics
88
(
2019
),
pp. 108-119
Persistent link: https://www.econbiz.de/10012105524
Saved in:
13
Subgroup analysis of zero-inflated Poisson regression model with applications to insurance data
Chen, Kun
;
Huang, Rui
;
Chan, Ngai Hang
;
Yau, Chun Yip
- In:
Insurance / Mathematics & economics
86
(
2019
),
pp. 8-18
Persistent link: https://www.econbiz.de/10012058680
Saved in:
14
Estimating loss reserves using hierarchical Bayesian Gaussian process regression with input warping
Lally, Nathan
;
Hartman, Brian
- In:
Insurance / Mathematics & economics
82
(
2018
),
pp. 124-140
Persistent link: https://www.econbiz.de/10011929845
Saved in:
15
Risk measures in a quantile regression credibility framework with Fama/French data applications
Pitselis, Georgios
- In:
Insurance / Mathematics & economics
74
(
2017
),
pp. 122-134
Persistent link: https://www.econbiz.de/10011712415
Saved in:
16
Bayesian quantile regression model for claim count data
Mohd Fadzli Mohd Fuzi
;
Jemain, Abdul Aziz
;
Ismail, Noriszura
- In:
Insurance / Mathematics & economics
66
(
2016
),
pp. 124-137
Persistent link: https://www.econbiz.de/10011442724
Saved in:
17
A note on the Log-Lindley distribution
Jodrá, P.
;
Jiménez-Gamero, M. Dolores
- In:
Insurance / Mathematics & economics
71
(
2016
),
pp. 189-194
Persistent link: https://www.econbiz.de/10011630648
Saved in:
18
An individual loss reserving model with independent reporting and settlement
Huang, Jinlong
;
Qiu, Chunjuan
;
Wu, Xianyi
;
Zhou, Xian
- In:
Insurance / Mathematics & economics
64
(
2015
),
pp. 232-245
Persistent link: https://www.econbiz.de/10011398041
Saved in:
19
The Log–Lindley distribution as an alternative to the beta regression model with applications in insurance
Gómez-Déniz, Emilio
;
Sordo, Miguel A.
; …
- In:
Insurance / Mathematics & economics
54
(
2014
),
pp. 49-57
Persistent link: https://www.econbiz.de/10010259682
Saved in:
20
Total loss estimation using copula-based regression models
Krämer, Nicole
;
Brechmann, Eike C.
;
Silvestrini, Daniel
; …
- In:
Insurance / Mathematics & economics
53
(
2013
)
3
,
pp. 829-839
Persistent link: https://www.econbiz.de/10010227816
Saved in:
21
A generalized linear model with smoothing effects for claims reserving
Björkwall, Susanna
;
Hössjer, Ola
;
Ohlsson, Esbjörn
; …
- In:
Insurance / Mathematics & economics
49
(
2011
)
1
,
pp. 27-37
Persistent link: https://www.econbiz.de/10009157452
Saved in:
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