[PDF] Top 20 Modelling and Bayesian analysis of the Abakaliki smallpox data

... use data-augmentation methods to produce an analytically tractable (and correct) likelihood, which can then be incorporated in a Bayesian estimation framework by using Markov chain Monte Carlo (MCMC) ... See full document

... the Abakaliki compounds is known, we do not have complete information on the composition of compound individuals with respect to vaccination status and FTC ... See full document

... the Bayesian framework, their model-tuning procedure can be reconstructed in ...a Bayesian reconstruction, the free parameters are those whose precise values are to some extent ...and data, for any ... See full document

... trial data is the ideal, we sought to identify methods for handling unreported mean or variability summary statistics in ...included Bayesian hierarchical modelling at the meta-analysis level; ... See full document

... limited data and information, Zhang and Wang (2014) used Bayesian linear methods to combine the subject expert knowledge with the available limited data to estimate the unknown parameters of models ... See full document

... spatial-temporal analysis of community policing in Nairobi’s suburbs was done by considering Communities as neighborhood guardians, they first identified spatial hotspots using the space-time scan statistic based ... See full document

... linear modelling, all irregular behaviour of the system has to be attributed to some random external input to the system ...nonlinear modelling is less straightforward and far less well understood than its ... See full document

... Many studies of time series of population abundance have considered the mechanisms behind multi-population dynamics (reviewed in Liebhold et al. 2004). These mechanisms are difficult to infer via the sole analysis ... See full document

... described Bayesian modelling strategies for binary MOD in meta-analyses and elucidated their implications for core NMA ...sensitivity analysis, especially for considerable numbers of missing ... See full document

... sentiment analysis, the TOTM leverages hashtags, men- tions, emoticons, and strong sentiment words that are present in ...the modelling of the target-opinion interaction directly, allow- ing the discovery ... See full document

... factor analysis (HNFA) with variance modelling was applied to an extension of the bars ...the data were ...factor analysis, and were generally best in cases requiring accurate representation ... See full document

... a Bayesian perspective of inverse ...statistical modelling for such examples can be found in Watzenig and Fox ...of analysis involves domain discretization and the use of the finite element ...Then, ... See full document

... clinical data on re- sponse times with available values for one or more concomitant ...explored. Bayesian estimators derived in this paper are applied to lung cancer data set with concomitant ... See full document

... The so-called genetic algorithm (GA) has been intro- duced to offer advantages compared with traditional me- thods or system modelling and optimization problems. It is also used for an optimal value of a complex ... See full document

... Probit Analysis is used to analyze data from bioassay ...Probit Analysis is the commonly used method of estimating lethal doses or lethal time or lethal concentration (Finney, ...probit ... See full document

... study on new patent analysis method based on count data model and Bayesian regression analysis.. 13.[r] ... See full document

... the analysis of Chile’s 2005 election, namely whether Piñera’s entry into the race was determinant in bolstering Alianza’s vote support, and how it affected voters’ electoral ... See full document

... Big data; internet of things; data science; visualization; exploratory analysis; modelling, 40.. spatial analysis 41.[r] ... See full document

... The study groups for the controlled field trials of hyperimmune vaccinal gamma globulin in the prophylaxis of smallpox after known exposure to the disease were drawn from the intimate ro[r] ... See full document

... the Bayesian analysis of the same data, that is, multiple myeloma data with JAGS using its interface of R, that is, R2jags package of ...on Bayesian models using Markov chain Monte ... See full document