Model Selection in Robust Linear Mixed Models



Model selection uncertainties and model averaging in autoregressive time series models
Yazici, Mehmet; İslam, Muhammed Qamarul (2012-04-01)
Selecting the correct lag order is necessary in order to avoid model specification errors in autoregressive (AR) time series models. Here we explore the problem of lag order selection in such models. This study provides an in-depth but easy understanding of the model selection mechanism to the practitioners in various fields of applied research. Several interesting findings are reported and through these the pitfalls of the model selection procedures are exposed. In particular, we show that the whole exerci...
Model Order Reduction for Pattern Formation inFitzHugh Nagumo Equation
Karasözen, Bülent (null; 2015-10-12)
Model order reduction for nonlinear Schrodinger equation
Karasözen, Bülent; Uzunca, Murat (2015-05-01)
We apply the proper orthogonal decomposition (POD) to the nonlinear Schrodinger (NLS) equation to derive a reduced order model. The NLS equation is discretized in space by finite differences and is solved in time by structure preserving symplectic mid-point rule. A priori error estimates are derived for the POD reduced dynamical system. Numerical results for one and two dimensional NLS equations, coupled NLS equation with soliton solutions show that the low-dimensional approximations obtained by POD reprodu...
Model selection in the construction of biological networks in the high dimensional settings
Bülbül, Gül Bahar; Purutçuoğlu Gazi, Vilda (null; 2018-10-12)
Model Order Reduction on Control Problems of Navier-Stokes Equations
Evcin, Cansu; Uğur, Ömür (null; 2017-09-18)
Citation Formats
F. Gökalp Yavuz, “Model Selection in Robust Linear Mixed Models,” 2016, Accessed: 00, 2021. [Online]. Available: