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Statistical Methods and Computing for Big Data

Statistical Methods and Computing for Big Data

27 February 2015
Chun Wang
Ming-Hui Chen
E. Schifano
Jing Wu
Jun Yan
ArXivPDFHTML

Papers citing "Statistical Methods and Computing for Big Data"

6 / 6 papers shown
Title
Approximating Partial Likelihood Estimators via Optimal Subsampling
Approximating Partial Likelihood Estimators via Optimal Subsampling
Haixiang Zhang
Lulu Zuo
Haiying Wang
Liuquan Sun
35
13
0
10 Oct 2022
Sequential Estimation under Multiple Resources: a Bandit Point of View
Sequential Estimation under Multiple Resources: a Bandit Point of View
Alireza Masoumian
Shayan Kiyani
Mohammad Hossein Yassaee
28
1
0
29 Sep 2021
How Many Online Workers are there in the World? A Data-Driven Assessment
How Many Online Workers are there in the World? A Data-Driven Assessment
O. Kässi
V. Lehdonvirta
F. Stephany
OnRL
19
68
0
23 Mar 2021
On Scalable Inference with Stochastic Gradient Descent
On Scalable Inference with Stochastic Gradient Descent
Yixin Fang
Jinfeng Xu
Lei Yang
18
10
0
01 Jul 2017
Additive Partially Linear Models for Massive Heterogeneous Data
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang
Yixin Fang
Heng Lian
Hua Liang
21
5
0
13 Jan 2017
Random Forests for Big Data
Random Forests for Big Data
Robin Genuer
Jean-Michel Poggi
Christine Tuleau-Malot
N. Villa-Vialaneix
20
299
0
26 Nov 2015
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