Riemannian Optimization for Variance Estimation in Linear Mixed Models.

Lena Sembach Jan Pablo Burgard Volker H. Schulz

Published in: CoRR (2022)

Keyphrases

probabilistic model
neural network
parameter estimation
model fitting
quadratic programming
response surface
optimization problems
optimization algorithm
statistical model
statistical models
standard deviation
monte carlo simulation
constrained optimization
parametric models
linear models