hierarchical modelling
Quantitative risk assessment of medium-sized floating regasification units using system hierarchical modelling
... system hierarchical modelling now allows the risk of each sub-group to be quantified independently, allowing the risk of the overall system to be ...
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A Grand Journey of Statistical Hierarchical Modelling
... estimators, hierarchical models and empirical Bayes methods, dating back to the ground- breaking works of Stein (1956) and Robbins (1956), have profound impacts in statistics and in scientific and engineering ...
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Hierarchical modelling and adaptive clustering for real-time summarization of rush videos
... Our hierarchical modeling, adaptive clustering and activity-level based summarization generation are found very useful in achieving robust summarization of rush ...
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The fracture mechanism of softwood via hierarchical modelling analysis
... the hierarchical model result, which found that the stress concentrations of the EW/LW combination model were observed in the EW tangential wall of the growth ring border ...
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Spatial Bayesian hierarchical modelling of extreme sea states
... Bayesian hierarchical framework is used to model extreme sea states, incorpo- rating a latent spatial process to more effectively capture the spatial variation of the ...
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Hierarchical Modelling and X ray Analysis of Human Dentine and E namel
... cementum. These are hydrated biological mineral composite tissues with a hierarchical structure and versatile mechanical properties (Fig. 1). At the meso-scale the dentine microstructure has a notable feature of ...
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Small area mapping of prostate cancer incidence in New York State (USA) using fully Bayesian hierarchical modelling
... ZIP codes were chosen as mapping units for several reasons, including the need to balance between protecting personal privacy and public demand for fine geographic resolution. Since the population size varies greatly ...
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An analysis of restaurant patrons' experiences in Malaysia : a comprehensive hierarchical modelling approach
... and hierarchical model developed for this study provides an improved understanding of how restaurant patrons assess the service quality of moderate upscale restaurants in ...
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Bayesian hierarchical modelling of North Atlantic windiness
... Bayesian hierarchical space-time models have been developed to describe the variability and complex dependence structures of significant wave height in space and ...
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Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review
... The Bayesian methodologies identified in the review contributed to two areas. First, approximate Bayesian computing was implemented to estimate the missing summary statistic [17]. ABC enables estimation when the full ...
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Rapid temporal accumulation in spider fear: Evidence from hierarchical drift diffusion modelling
... diffusion modelling can offer insight into such findings because it offers a principled way of isolating the process by which increased perceived control affects time ...
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Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters
... Clustering expression data while modelling within- cluster variance is one of the primary applications of our model. Previously, [15] proposed a random effects model to account for variance between observations of ...
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An analysis of Turkey’s Pisa 2015 results using two-level hierarchical linear modelling
... the hierarchical modeling technique, a statistical model is established for each stage of the hierarchical structure and then these models are combined to reach final ...interpretations. Hierarchical ...
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Linking stroke mortality with air pollution, income, and greenness in northwest Florida: an ecological geographical study
... Bayesian hierarchical model with a spatially structured random effect and a random effect with an exchangeable non-spa- tial prior distribution to link stroke date with air pollu- tion, income and ...
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A Neuro Fuzzy approach to identify a Hierarchical Fuzzy System for modelling Aviation Pilot Attention
... The hierarchical learning structure signifi- cantly improves the classification accuracy, with the additional benefit that it gives specific details on single tests, which make possible to calculate the ...
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Statistical shape analysis for bio structures : local shape modelling, techniques and applications
... model through a series of shape extractions, allows a study of shapes at different levels of detail. The method proposed by Yushkevich et al. [179] uses a multiscale medial representation and then two sets of features ...
216
Bayesian inferencing for wind resource characterisation
... Model Structure The hierarchical structure implemented in this work has two main modelling levels: * Level 1: The wind speed data from the reference weather stations is defined as the su[r] ...
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A hierarchical mesh refinement technique for global 3-D spherical mantle convection modelling
... The spherical shell is separated into two distinct regions (fine and coarse); the upper half (fine) is dis- cretized by one additional refinement level (i.e. the number of nodes in each [r] ...
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Good Practice Principles in Modelling Defined Contribution Pension Plans
... Appropriate implementation of the model in a software application. The model must produce output quickly in real time otherwise the engagement of the end user will be lost. This means that an application that might be ...
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Detecting context abusiveness using hierarchical deep learning
... our hierarchical model against the baselines as well as ...since hierarchical C-LSTM applies hier- archical structure and often longer sentences pre- serve much more structural information, we have better ...
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