Analysis using the integrated likelihood approach
A Likelihood Approach to Bornhuetter–Ferguson Analysis
... weights. Using this formulation we describe two Bornhuetter–Ferguson approaches in the literature: the interpretation offered by Mack (2000) that uses levels of ultimates, and the approach of ...
20
Inference of Population History Using a Likelihood Approach
... an approach to revealing the likelihood of different population histories that utilizes an explicit model of sequence evolution for the DNA segment under ...a likelihood approach to conducting ...
8
Fractal analysis for osteoporosis: a likelihood ratio approach
... cancer, likelihood ratio statistics, chi-square distribution INTRODUCTION This paper is about statistical modelling for dia- gnos tics in medicine using ...the likelihood ratio ...the analysis ...
12
Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis
... addition, using the classical “first-order” perturbation analysis (under the “small-errors” assumption), we provided closed-form analytical expressions for the approximated predicted ...
14
A design approach for integrated CMOS LC-tank oscillators using bifurcation analysis
... fully integrated cross coupled voltage controlled LC tank oscillators received attention as shown in Razavi (1997) and van der Tang et ...alternative approach which uses a non- linear overall model of the ...
6
Using values to communicate agricultural science: An Elaboration Likelihood Model approach
... Biospehric, altruistic or egoistic value orientations represent three ways individuals orient themselves to controversial topics. An agricultural identity represents yet another way individuals can orient themselves. A ...
99
Maximum likelihood approach to DoA estimation using lens antenna array
... power approach to select the corresponding antenna and two antennas around ...lobe using ULA with AS technique is greater than that achieved with other ...signals using ULA with AS can lead to the ...
7
Bayesian Analysis of a Japanese Meat Demand System: A Robust Likelihood Approach
... Bayesian analysis to an AIDS model of Japanese meat demand extending previous approaches in three ways: (1) The methodology employed is robust with respect to the likelihood function but retains the ...
43
Travel Package Recommendations by Using Integrated Approach
... the integrated recommendation ...way using a well defined set of features and feature values; for instance, in a travel recommender a particular vacation might be presented in terms of its price, duration, ...
6
An integrated approach to supply chain risk analysis
... Risk analysis: taking a broad perspective, risk may be seen as an uncertainty that may be in turn either a threat or an opportunity, depending if it affects a business either negatively or positively (Ward and ...
43
Integrated approach for land use suitability analysis
... An integrated fuzzy spatial multi-criteria evalua- tion and analytic hierarchy process within a GIS was applied to assess the land use suitability for agriculture in Golestan province, ...mated using ...
8
Cluster Analysis of Temporal Data using Maximum Likelihood Estimation
... explored using evolutionary ...cluster analysis for evolving ...comes, using maximum likelihood estimation we try to identify its true representative ...
5
Integrated Accident Resilience Framework (IARF) – A Theoretical Approach Using Spatial and Statistical Analysis
... consensus of the population in the study area to obtain an accurate model which can be explained. Another area that has a potential for more research is the GIS platform. The GIS platform is an effective way to visualize ...
11
A Predictive Likelihood Approach to Bayesian Averaging
... Abstract JEŘÁBEK TOMÁŠ, ŠPERKOVÁ RADKA. 2015. A Predictive Likelihood Approach to Bayesian Averaging. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(4): 1269–1276. Multivariate ...
8
Estimating Macroeconomic Models: A Likelihood Approach
... Hence, we draw from this distribution using the algorithm described in section 2.5 and com- pute the instantaneous standard deviation of the observables for each draw. We report the mean of the instantaneous ...
55
Hierarchical maximum likelihood clustering approach
... data using PLINK ...filtering using similar criteria as of that used by Yamaguchi et ...further analysis. We first performed PCA on the filtered data using the R package SNPRelate [64] to ...
11
Capture recapture abundance estimation using a semi complete data likelihood approach
... data likelihood within a Bayesian analysis of closed capture–recapture data in the presence of individual heterogeneity removes the need for trans-dimensional algorithms to explore the posterior ...
22
Concept for estimating mitochondrial DNA haplogroups using a maximum likelihood approach (EMMA)
... The lack of the transition at 310, however, led to inconclusive results by EMMA suggesting various subclades within U4 as best estimates. Re-examination of the CR raw data revealed that despite redundant sequence ...
9
Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion
... Here we focus more on the role of the hyperparameters in determining the final GCICL solution, essentially providing a sensitivity analysis. In particular we make use of simulated data t[r] ...
23
Modeling causes of death: an integrated approach using CODEm
... an approach is not ideal, it outperforms models that make the trade-off of using much more restrictive assumptions in order to fit within a framework that models all causes simulta- ...two-step ...
23