Space-filling designs based on Rényi entropy

Autor: Jourdan, Astrid

Simulations using computationally intensive computer models need to be organized according to a design of experiments. Space-filling designs spread out the training examples in the experimental domain with the aim to catch the irregularities of the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10369::a1d82fae60192eaa6b563178eecc0c3c
https://hal.science/hal-04029884

Divide and Conquer Local Average Regression

Autor: Shaobo Lin, Xiangyu Chang, Yao Wang

Publikováno v: Electron. J. Statist. 11, no. 1 (2017), 1326-1350

The divide and conquer strategy, which breaks a massive data set into a se- ries of manageable data blocks, and then combines the independent results of data blocks to obtain a final decision, has been recognized as a state-of-the-art method to overc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8003f47d4009e75746840b5c8bfe91b5
http://arxiv.org/abs/1601.06239

New Multivariate Product Density Estimators

Autor: Adam Krzyżak, Luc Devroye

Publikováno v: Journal of Multivariate Analysis. 82:88-110

Let X be an Rd-valued random variable with unknown density f. Let X1, …, Xn be i.i.d. random variables drawn from f. The objective is to estimate f(x), where x=(x1, …, xd). We study the pointwise convergence of two new density estimates, the Hilb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17fcf86071936ecc0292b19e42ba1943
https://doi.org/10.1006/jmva.2001.2021

A Weighted k-Nearest Neighbor Density Estimate for Geometric Inference

Autor: Carlos C. Rodriguez, David Cohen-Steiner, Gérard Biau, Frédéric Chazal, Luc Devroye

Publikováno v: Electronic Journal of Statistics
Electronic Journal of Statistics, 2011, 5, pp.204-237
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.204-237
Electron. J. Statist. 5 (2011), 204-237

Motivated by a broad range of potential applications in topological and geometric inference, we introduce a weighted version of the k-nearest neighbor density estimate. Various pointwise consistency results of this estimate are established. We presen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db0c80d07cdfedbed964bd57bb6d9a8
https://inria.hal.science/inria-00560623v2/file/articlebccdr6.pdf

Statistical analysis of k-nearest neighbor collaborative recommendation

Autor: Gérard Biau, Laurent Rouvière, Benoît Cadre

Publikováno v: Annals of Statistics
Annals of Statistics, 2010, 38 (3), pp.1568-1592. ⟨10.1214/09-AOS759⟩
Ann. Statist. 38, no. 3 (2010), 1568-1592
Annals of Statistics, Institute of Mathematical Statistics, 2010, 38 (3), pp.1568-1592. ⟨10.1214/09-AOS759⟩
Annals of Statistics, Institute of Mathematical Statistics, 2010, 38 (3), pp.1568-1592
The Annals of Statistics
The Annals of Statistics, IMS, 2010, 38 (3), pp.1568-1592. 〈10.1214/09-AOS759〉

Collaborative recommendation is an information-filtering technique that attempts to present information items that are likely of interest to an Internet user. Traditionally, collaborative systems deal with situations with two types of variables, user

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab8a411153e17acb28501915a6e08547
https://hal.science/hal-00367480v2/file/bcr-rev4.pdf