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pro vyhledávání: '"Florian Dussap"'
Autor:
Florian Dussap
Publikováno v:
Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, In press
Journal of Statistical Planning and Inference, Elsevier, In press
We investigate adaptive density estimation in the additive model Z = X + Y , where X and Y are independent d -dimensional random vectors with non-negative coordinates. Our goal is to recover the density of X from independent observations of Z , assum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7cd20145a52c1a74868986a23e15596
https://doi.org/10.1016/j.jspi.2021.02.005
https://doi.org/10.1016/j.jspi.2021.02.005
Autor:
Florian Dussap
We study the nonparametric regression estimation problem with a random design in R^p with p ≥ 2. We do so by using a projection estimator obtained by least squares minimization. Our contribution is to consider non-compact estimation domains in R^p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f9bd69bfb07ffd100f905b201dcc963
https://hal.archives-ouvertes.fr/hal-03506635/file/non-param_reg_v0.pdf
https://hal.archives-ouvertes.fr/hal-03506635/file/non-param_reg_v0.pdf
Autor:
Florian Dussap
Publikováno v:
Electronic Journal of Statistics. 16
We propose a nonparametric estimator of the expected discounted penalty function function in the compound Poisson risk model. We use a projection estimator on the Laguerre basis and we compute the coefficients using Plancherel theorem. We provide an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca00c7270db413c8f19b8eb0774fdf16
https://doi.org/10.1214/22-ejs2003
https://doi.org/10.1214/22-ejs2003