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1
Density deconvolution with Laplace errors and unknown variance
Cai, Jun
;
Horrace, William C.
;
Parmeter, Christopher F.
- In:
Journal of productivity analysis : an official journal …
56
(
2021
)
2/3
,
pp. 103-113
Persistent link: https://www.econbiz.de/10012656574
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Flexible mixture-amount models using multivariate Gaussian processes
Ruseckaite, Aiste
;
Fok, Dennis
;
Goos, Peter
- In:
Journal of business & economic statistics : JBES ; a …
38
(
2020
)
2
,
pp. 257-271
Persistent link: https://www.econbiz.de/10012262461
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A nonparametric test of a strong leverage hypothesis
Linton, Oliver
;
Whang, Yoon-jae
;
Yen, Yu-min
- In:
Journal of econometrics
194
(
2016
)
1
,
pp. 153-186
Persistent link: https://www.econbiz.de/10011705075
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Nonparametric predictive inference for European option pricing based on the binomial tree model
He, Ting
;
Coolen, Frank P. A.
;
Coolen-Maturi, Tahani
- In:
Journal of the Operational Research Society
70
(
2019
)
10
,
pp. 1692-1708
Persistent link: https://www.econbiz.de/10012214368
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5
Finite Gaussian mixture approximations to analytically intractable density Kernels
Khorunzhina, Natalia
;
Richard, Jean-François
- In:
Computational economics
53
(
2019
)
3
,
pp. 991-1017
Persistent link: https://www.econbiz.de/10012135106
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6
Nonparametric filtering of conditional state-price densities
Dalderop, Jeroen
- In:
Journal of econometrics
214
(
2020
)
2
,
pp. 295-325
Persistent link: https://www.econbiz.de/10012438391
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7
Data-based automatic discretization of nonparametric distributions
Akira Toda, Alexis
- In:
Computational economics
57
(
2021
)
4
,
pp. 1217-1235
Persistent link: https://www.econbiz.de/10012543278
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8
A time-varying jump tail risk measure using high-frequency options data
Ubukata, Masato
- In:
Empirical economics : a quarterly journal of the …
63
(
2022
)
5
,
pp. 2633-2653
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Nonparametric jump variation measures from options
Todorov, Viktor
- In:
Journal of econometrics
230
(
2022
)
2
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pp. 255-280
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Sample out-of-sample inference based on Wasserstein distance
Blanchet, Jose
;
Kang, Yang
- In:
Operations research
69
(
2021
)
3
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pp. 985-1013
Persistent link: https://www.econbiz.de/10012546913
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