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Akademický článek
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Publikováno v:
Annals of Statistics 2015, Vol. 43, 620-651
This paper generalizes recent proposals of density forecasting models and it develops theory for this class of models. In density forecasting, the density of observations is estimated in regions where the density is not observed. Identification of th
Externí odkaz:
http://arxiv.org/abs/1503.05033
Autor:
Saffarzadeh, Mona, Grunz, Kristin, Nguyen, T. Son, Lee, Young K., Kitano, Maki, Danckwardt, Sven, Rodrigues, Carina D.S., Weiler, Hartmut, Reyda, Sabine, Ruf, Wolfram
Publikováno v:
In Blood Advances 24 November 2020 4(22):5810-5824
Autor:
Furuya, Tomohisa, Lee, Young K., Archibald-Heeren, Ben R., Byrne, Mikel, Bosco, Bruno, Phua, Jun H., Shimizu, Hidetoshi, Hashimoto, Shimpei, Tanaka, Hiroshi, Sahgal, Arjun, Karasawa, Katsuyuki
Publikováno v:
In Physics and Imaging in Radiation Oncology October 2020 16:61-68
Publikováno v:
In Computational Statistics and Data Analysis May 2020 145
Publikováno v:
Annals of Statistics 2012, Vol. 40, No. 3, 1906-1933
This paper studies a very flexible model that can be used widely to analyze the relation between a response and multiple covariates. The model is nonparametric, yet renders easy interpretation for the effects of the covariates. The model accommodates
Externí odkaz:
http://arxiv.org/abs/1210.4711
Publikováno v:
Bernoulli 2012, Vol. 18, No. 1, 177-205
In this paper we introduce new estimators of the coefficient functions in the varying coefficient regression model. The proposed estimators are obtained by projecting the vector of the full-dimensional kernel-weighted local polynomial estimators of t
Externí odkaz:
http://arxiv.org/abs/1203.0403
Publikováno v:
Bernoulli 2009, Vol. 15, No. 2, 380-401
Bootstrap methods are widely used for distribution estimation, although in some problems they are applicable only with difficulty. A case in point is that of estimating the distributions of eigenvalue estimators, or of functions of those estimators,
Externí odkaz:
http://arxiv.org/abs/0906.2128
Autor:
Tseng, Chia-Lin, Soliman, Hany, Myrehaug, Sten, Lee, Young K., Ruschin, Mark, Atenafu, Eshetu G., Campbell, Mikki, Maralani, Pejman, Yang, Victor, Yee, Albert, Sahgal, Arjun
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 November 2018 102(3):499-507
Publikováno v:
In Computational Statistics and Data Analysis July 2018 123:50-65