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On approximations via convolution-defined mixture models
v1v2v3 (latest)

On approximations via convolution-defined mixture models

12 November 2016
Hien Nguyen
Geoffrey J. McLachlan
ArXiv (abs)PDFHTML

Papers citing "On approximations via convolution-defined mixture models"

2 / 2 papers shown
Title
On the best approximation by finite Gaussian mixtures
On the best approximation by finite Gaussian mixtures
Yun Ma
Yihong Wu
Pengkun Yang
59
1
0
13 Apr 2024
Generating Likely Counterfactuals Using Sum-Product Networks
Generating Likely Counterfactuals Using Sum-Product Networks
Jiri Nemecek
Tomás Pevný
Georgios Korpas
TPM
113
0
0
25 Jan 2024
1