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Journal of the American Statistical Association : JASA
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ECONIS (ZBW)
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Functional variance processes
Müller, Hans-Georg
;
Stadtmüller, Ulrich
;
Yao, Fang
- In:
Journal of the American Statistical Association : JASA
101
(
2006
),
pp. 1007-1018
Persistent link: https://www.econbiz.de/10003375789
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2
Forecasting density function : application in finance
Sen, Rituparna
;
Ma, Changie
- In:
Journal of mathematical finance
5
(
2015
)
5
,
pp. 433-447
Persistent link: https://www.econbiz.de/10011440098
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3
Covariance between Stochastic Processes Observed Sparsely with Noise : Application to Online Auctions
Sen, Rituparna
-
2009
Integrated covariance between pairs of realizations of a multivariate Ito process observed sparsely and irregularly with additive noise is estimated using the random lead lag estimator. The method is applied to a dataset of price processes from online auctions on ebay. This approach allows us to...
Persistent link: https://www.econbiz.de/10013155932
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4
Order-preserving nonparametric regression, with applications to conditional distribution and quantile function estimation
Hall, Peter
;
Müller, Hans-Georg
- In:
Journal of the American Statistical Association : JASA
98
(
2003
)
463
,
pp. 598-608
Persistent link: https://www.econbiz.de/10001828523
Saved in:
5
Functional additive models
Müller, Hans-Georg
;
Yao, Fang
- In:
Journal of the American Statistical Association : JASA
103
(
2008
)
484
,
pp. 1534-1544
Persistent link: https://www.econbiz.de/10003814717
Saved in:
6
Estimating derivatives for samples of sparsely observed functions, with application to online auction dynamics
Liu, Bitao
;
Müller, Hans-Georg
- In:
Journal of the American Statistical Association : JASA
104
(
2009
)
486
,
pp. 704-717
Persistent link: https://www.econbiz.de/10003885413
Saved in:
7
Functional varying coefficient models for longitudinal data
Şentürk, Damla
;
Müller, Hans-Georg
- In:
Journal of the American Statistical Association : JASA
105
(
2010
)
491
,
pp. 1256-1264
Persistent link: https://www.econbiz.de/10008738377
Saved in:
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