MLE in a Feasible Region is as Good as or Better Than the Usual MLE While Estimating Box Cox Transformation Parameter in ANOVA

2015-05-01
Dag, Osman
İlk Dağ, Özlem

Suggestions

ML and MAP estimation of parameters for the Kalman filter and smoother applied to electrocardiographic imaging
Erenler, T; Serinağaoğlu Doğrusöz, Yeşim (Springer Science and Business Media LLC, 2019-10-01)
In electrocardiographic imaging (ECGI), one solves the inverse problem of electrocardiography (ECG) to reconstruct equivalent cardiac sources based on the body surface potential measurements and a mathematical model of the torso. Due to attenuation and spatial smoothing within the torso, this inverse problem is ill-posed. Among many regularization approaches used in the ECG literature to overcome this ill-posedness, statistical techniques have received great attention because of their flexibility to represe...
ML Estimation of Process Noise Variance in Dynamic Systems
Axelsson, Patrik; Orguner, Umut; Gustafsson, Fredrik; Norrlöf, Mikael (2011-08-28)
The performance of a non-linear filter hinges in the end on the accuracy of the assumed non-linear model of the process. In particular, the process noise covariance Q is hard to get by physical modeling and dedicated system identification experiments. We propose a variant of the expectation maximization (EM) algorithm which iteratively estimates the unobserved state sequence and Q based on the observations of the process. The extended Kalman smoother (EKS) is the instrument to find the unobserved state sequ...
ML performance analysis of digital relaying in bi-directional relay channels
Ozdemir, Ozgur; Yılmaz, Ali Özgür (Wiley, 2012-06-01)
The research challenges to enhance the throughput of communication networks revealed the concept of network coding which is based on the idea of coding at packet level. The bi-directional relay channel in which two user terminals exchange independent information with the help of a relay terminal is among the prominent applications of network coding in wireless cooperative communications. In this paper, maximum likelihood (ML) performance analysis of digital relaying based bi-directional communication is pre...
MLFMA solutions of transmission problems Involving realistic metamaterial walls
Ergül, Özgür Salih; Gürel, Levent (2007-08-31)
We present the solution of multilayer metamaterial (MM) structures containing large numbers of unit cells, such as split-ring resonators. Integral-equation formulations of scattering problems are solved iteratively by employing a parallel implementation of the multilevel fast multipole algorithm. Due to ill-conditioned nature of the problems, advanced preconditioning techniques are used to obtain rapid convergence in the iterative solutions. By constructing a sophisticated simulation environment, we accurat...
ML vs. MAP PARAMETER ESTIMATION OF LINEAR DYNAMIC SYSTEMS FOR ACOUSTIC-TO-ARTICULATORY INVERSION: A COMPARATIVE STUDY
Özbek Arslan, Işıl; Demirekler, Mübeccel (2010-08-27)
This work proposes a maximum a posteriori (MAP) based parameter learning algorithm for acoustic-to-articulatory inversion. Inversion method is based on single global linear dynamic system (GLDS) representation of acoustic and articulatory data. MAP based learning algorithm considers a prior distribution for the parameter set as well as the likelihood of the training data. Therefore in this paper, we investigate the selection of prior distributions with hyperparameters for GLDS to improve the performance of ...
Citation Formats
O. Dag and Ö. İlk Dağ, “MLE in a Feasible Region is as Good as or Better Than the Usual MLE While Estimating Box Cox Transformation Parameter in ANOVA,” 2015, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73344.