Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Baraud, Yannick"'
Autor:
Baraud, Yannick, Chen, Juntong
Publikováno v:
In Journal of Statistical Planning and Inference December 2024 233
Autor:
Baraud, Yannick
In the Bayes paradigm and for a given loss function, we propose the construction of a new type of posterior distributions, that extends the classical Bayes one, for estimating the law of an $n$-sample. The loss functions we have in mind are based on
Externí odkaz:
http://arxiv.org/abs/2107.12011
Autor:
Baraud, Yannick, Chen, Juntong
We observe $n$ pairs of independent (but not necessarily i.i.d.) random variables $X_{1}=(W_{1},Y_{1}),\ldots,X_{n}=(W_{n},Y_{n})$ and tackle the problem of estimating the conditional distributions $Q_{i}^{\star}(w_{i})$ of $Y_{i}$ given $W_{i}=w_{i}
Externí odkaz:
http://arxiv.org/abs/2011.01657
Autor:
Baraud, Yannick
We consider the problem of estimating the joint distribution of $n$ independent random variables. Our approach is based on a family of candidate probabilities that we shall call a model and which is chosen to either contain the true distribution of t
Externí odkaz:
http://arxiv.org/abs/2003.12544
Autor:
Baraud, Yannick1 (AUTHOR) yannick.baraud@uni.lu
Publikováno v:
Probability Theory & Related Fields. Feb2024, Vol. 188 Issue 1/2, p159-234. 76p.
Autor:
Baraud, Yannick
Given an observed random variable, consider the problem of recovering its distribution among a family of candidate ones. The two-point inequality, Fano's lemma and more recently an inequality due to Venkataramanan and Johnson (2018) allow to bound th
Externí odkaz:
http://arxiv.org/abs/1807.05410
Autor:
Baraud, Yannick, Birgé, Lucien
We consider the problem of estimating the joint distribution $P$ of $n$ independent random variables within the Bayes paradigm from a non-asymptotic point of view. Assuming that $P$ admits some density $s$ with respect to a given reference measure, w
Externí odkaz:
http://arxiv.org/abs/1711.08328
Autor:
Baraud, Yannick, Birgé, Lucien
This paper is based on our personal notes for the short course we gave on January 5, 2017 at Institut Henri Poincar\'e, after an invitation of the SFdS. Our purpose is to give an overview of the method of $\rho$-estimation and of the optimality and r
Externí odkaz:
http://arxiv.org/abs/1703.01654
Autor:
Baraud, Yannick, Birgé, Lucien
Publikováno v:
The Annals of Statistics, 2020 Dec 01. 48(6), 3699-3720.
Externí odkaz:
https://www.jstor.org/stable/27028760
Autor:
Baraud, Yannick, Birgé, Lucien
Following Baraud, Birg\'e and Sart (2017), we pursue our attempt to design a robust universal estimator of the joint ditribution of $n$ independent (but not necessarily i.i.d.) observations for an Hellinger-type loss. Given such observations with an
Externí odkaz:
http://arxiv.org/abs/1605.05051