Approach with accelerometer and hierarchical modelling
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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Modelling of Accelerometer Data for Travel Mode Detection by Hierarchical Application of Binomial Logistic Regression
... To the best of our knowledge, this study is probably the first to incorporate binary logistic regression for possible travel mode classification using accelerometer data. The proposed methodology is still in its ...
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A Grand Journey of Statistical Hierarchical Modelling
... Our new approach will involve events arriving in continuous time, whose impacts on the prices may be fleeting and of variable size. The model is directly formulated in terms of the price im- pact of news. Each ...
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Bayesian hierarchical modelling of bacteria growth
... Several empirical studies of bacterial growth, such as Grijspeerdt and Van- rolleghem (1999), estimate the parameters by nonlinear least square procedures. Nevertheless, most of these models do not recognize explicitly ...
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Bayesian hierarchical modelling of North Atlantic windiness
... primary approach for investigating the impacts of cli- mate change and ensemble studies are carried out in order to quantify uncertainties, where different climate models and small perturbations of the initial ...
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Spatial Bayesian hierarchical modelling of extreme sea states
... As discussed earlier, a very high threshold is necessary for the asymptotic validity of the GPD model, but can result in too few points with which to fit. 445 Mazas and Hamm (2011), for example, recommended a threshold ...
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Bayesian hierarchical modelling for inferring genetic interactions in yeast
... In Addinall et al. (2011), a frequentist statistical approach is used to model and make inference for significantly interacting genes in a QFA screen comparison. Other large- scale quantitative genetic interaction ...
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Hierarchical modelling of faecal egg counts to assess anthelmintic efficacy
... 4 Modelling approach Suppose we have a group of n untreated animals. A faecal sample from each animal i is analysed by a McMaster method with analytic sensitivity f . If the required amount of faeces is not ...
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A hierarchical topic modelling approach for tweet clustering
... 2 The Alan Turing Institute, London, UK {bo.wang, m.liakata, a.zubiaga}@warwick.ac.uk Abstract. While social media platforms such as Twitter can provide rich and up-to-date information for a wide range of applications, ...
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A hierarchical spatial modelling approach to investigate MRSA transmission in a tertiary hospital
... Methods: Retrospective data on numbers of multi-resistant and non-multiresistant MRSA acquisitions were collected for 52 weeks in 2007 in a tertiary hospital in Brisbane, Australia. A hierarchical Bayesian ...
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A Neuro Fuzzy approach to identify a Hierarchical Fuzzy System for modelling Aviation Pilot Attention
... the Hierarchical model, which includes a second layer of fuzzy rules that receives as input the classification (output) of the single tests fuzzy systems, then processes and combine the results to improve the ...
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Time dynamic and hierarchical dependence modelling of an aggregated portfolio of trading books: a multivariate nonparametric approach
... risk modelling and management that can react quickly to changing market ...of modelling portfolio dependence may certainly be put down to the recent market turbulence in the entire nancial ...
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Hierarchical Bayesian Language Modelling for the Linguistically Informed
... Ultimately the idea is to apply this modelling approach to other linguistic phenomena as well. In particular, the objective is to model instances of concatenative morphology beyond compound- ing, with the ...
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Hierarchical Multiclass Topic Modelling with Prior Knowledge
... Instead of predicting a zero or one, a model is trained to choose between K values, where K is the number of classes. Roughly two techniques exist to approach the multi-class problem: one-vs-all and one-vs-one. ...
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Modelling of vector MEM with hierarchical Archimedean copula
... This thesis offers a two-step estimation procedure for VMEM, which generally com- bines univariate multiplicative error models as proposed by Engle (2002) with the theory of copulae. To incorporate strong persistence, ...
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An hierarchical approach to hull form design
... of the design with other lines (Figure 7.1a). Even to somebody with even a modicum of maritime experience the sketch represents a ship hull form. Furthermore, based on the similarities between certain types of hull form ...
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A hierarchical approach for generating regular floorplans
... 2. OVERVIEW We start this section with an example to illustrate the trade-offs between regularity and hierarchy. Figure 1 shows the result of floorplanning the same netlist using HiReg and two other hierarchical ...
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Internationalisation and its determinants: a hierarchical approach
... discrete number of values for dependent variables and these values can be rank-ordered, the effects of covariates on the level of internationalisation were analyzed by multilevel ordinal logit model. In the ...
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Hierarchical maximum likelihood clustering approach
... various hierarchical based clustering methods like SLink, CLink, ALink, WLink and ...other hierarchical based clustering ...other hierarchical based clustering ...
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Using Topic Modelling Algorithms for Hierarchical Activity Discovery
... the hierarchical analysis. Our hierarchical analysis aims to address the fact that although a pure topic modelling approach provides a somewhat robust means by which activities can be ...
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