Convergence diagnostics for MCMC draws of a categorical variable

Autor: Deonovic, Benjamin E., Smith, Brian J.

Markov Chain Monte Carlo (MCMC) is a popular class of statistical methods for simulating autocorrelated draws from target distributions, including posterior distributions in Bayesian analysis. An important consideration in using simulated MCMC draws

Externí odkaz: http://arxiv.org/abs/1706.04919

Enhanced Patient Satisfaction With Cellular-Enabled Glucose Meters in Pregnancy.

Autor: Pierick AR; 1 Carver College of Medicine, University of Iowa, Iowa City, IA, USA., Wernimont SA; 2 Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA., Boevers EA; 1 Carver College of Medicine, University of Iowa, Iowa City, IA, USA., Whitis AM; 1 Carver College of Medicine, University of Iowa, Iowa City, IA, USA., Deonovic BE; 3 Department of Biostatistics, University of Iowa College of Public Health, Iowa City, IA, USA., Fleener DK; 2 Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA., Syrop CH; 2 Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA., Andrews JI; 2 Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.

Publikováno v: Journal of diabetes science and technology [J Diabetes Sci Technol] 2018 Sep; Vol. 12 (5), pp. 1086-1087. Date of Electronic Publication: 2018 Apr 06.