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Maximum Likelihood Estimation for Linear Gaussian Covariance Models
v1v2 (latest)

Maximum Likelihood Estimation for Linear Gaussian Covariance Models

24 August 2014
Piotr Zwiernik
Caroline Uhler
Donald Richards
ArXiv (abs)PDFHTML

Papers citing "Maximum Likelihood Estimation for Linear Gaussian Covariance Models"

7 / 7 papers shown
Title
Maximum Likelihood Estimation for Brownian Motion Tree Models Based on
  One Sample
Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample
Michael Truell
Jan-Christian Hütter
C. Squires
Piotr Zwiernik
Caroline Uhler
112
6
0
01 Dec 2021
Estimating linear covariance models with numerical nonlinear algebra
Estimating linear covariance models with numerical nonlinear algebra
Bernd Sturmfels
S. Timme
Piotr Zwiernik
37
35
0
02 Sep 2019
Estimating variances in time series linear regression models using
  empirical BLUPs and convex optimization
Estimating variances in time series linear regression models using empirical BLUPs and convex optimization
M. Hančová
Gabriela Vozáriková
A. Gajdos
J. Hanč
AI4TS
22
5
0
19 May 2019
Brownian motion tree models are toric
Brownian motion tree models are toric
Bernd Sturmfels
Caroline Uhler
Piotr Zwiernik
40
14
0
26 Feb 2019
Model selection and local geometry
Model selection and local geometry
R. Evans
79
14
0
25 Jan 2018
Gaussian Graphical Models: An Algebraic and Geometric Perspective
Gaussian Graphical Models: An Algebraic and Geometric Perspective
Caroline Uhler
32
36
0
13 Jul 2017
Invariant Models for Causal Transfer Learning
Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla
Bernhard Schölkopf
Richard Turner
J. Peters
OOD
86
23
0
19 Jul 2015
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