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Estimating the Coefficients of a Mixture of Two Linear Regressions by
  Expectation Maximization

Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization

26 April 2017
Jason M. Klusowski
Dana Yang
W. Brinda
ArXivPDFHTML

Papers citing "Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization"

5 / 5 papers shown
Title
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
30
0
0
11 Aug 2024
On the robust learning mixtures of linear regressions
On the robust learning mixtures of linear regressions
Ying-Min Huang
Liang Chen
OOD
16
0
0
23 May 2023
EM's Convergence in Gaussian Latent Tree Models
EM's Convergence in Gaussian Latent Tree Models
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
30
2
0
21 Nov 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite
  Variance Assumption
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
Lihu Xu
Fang Yao
Qiuran Yao
Huiming Zhang
38
10
0
10 Jan 2022
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for
  High-Dimensional Mixed Linear Regression
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang
Rong Ma
T. Tony Cai
Hongzhe Li
44
12
0
06 Nov 2020
1