Atanu Kumar Ghosh and Arnab Chakraborty, Use of em algorithm for data reduction under sparsity assumption, Computational Statistics 32 (2017), no. 2, 387-407.A K. Ghosh and A.Chakraborty ,"Use of EM algorithm for data reduction under sparsity assumption," Computational Statistics, pp.1-21, ...
one‐step‐late algorithm, penalized likelihoodThe EM algorithm is a popular approach to maximum likelihood estimation but has not been much used for penalized likelihood or maximum a posteriori estimation. This paper discusses properties of the EM algorithm in such contexts, concentrating on rates of...
The Use of Sieves to Stabilize Images Produced with the EM Algorithm for Emission Tomography Images produced in emission tomography with the expectation-maximization (EM) algorithm have been observed to become more 'noisy' as the algorithm converge... DL Snyder,MI Miller - 《IEEE Transactions on ...
A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models Summary. This paper describes an EM algorithm for nonparametric maximum likelihood (ML) estimation in generalized linear models with variance component str... M Aitkin - 《Biometrics》 被引量: 841发表: 1999年 ...
Specimens with initial ODn ≤1.2 were tested again in triplicate to confirm their ODn values using the median values of the three obtained values. During the retesting, if median ODn values were < 0.8, the specimens were considered to be recently infected [28]. Fig. 1 Algorithm for ...
Beware the Performance of an Algorithm Before Relying on it: Evidence from a Stock Price Forecasting Experiment We experimentally investigated the relationship between participants' reliance on algorithms, their familiarity with the task, and the performance level of... TTK Tse,N Hanaki,B Mao - 《...
The data are from the life history calendar based on the Brazilian Demographic and Health Survey 1996. The parameters of the model are estimated using the EM algorithm. Seven subpopulations with heterogeneous transition probabilities are identified. 展开 ...
Interpretation of RNA-Seq data using the predictive algorithm EricScript, a computational framework for the discovery of gene fusions in paired-end RNA-Seq data developed in R, perl and bash scripts. This software uses the BWA51 aligner to perform the mapping on the transcriptome reference and BL...
This thesis presents an investigation of the designand evaluation of the generalized storage aware routing (GSTAR) protocol proposed for use in the Mobilit... AHRS Sumithra 被引量: 0发表: 2015年 Artificial Neural Network Filter Algorithm Improvement for Tightly-coupled AHRS/GPS The parameter model...
Update on the clinical use of trabecular bone score (TBS) in the management of osteoporosis: results of an expert group meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), and the International Osteoporosis ...