Titlebook: Advanced Statistical Methods in Data Science; Ding-Geng Chen,Jiahua Chen,Hao Yu Book 2016 The Editor(s) (if applicable) and The Author(s),

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The skeleton and the muscular system,neous behaviour in volatility over time and multi-modality of the conditional or marginal distributions. One important task is to infer the number of regimes and regime-specific parsimonious autoregressive models. Information-theoretic criteria such as . or . are commonly used for such inference, an

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F. M. Klis,A. F. J. Ram,P. W. J. De Grootta provide a proxy for measuring the severity of ischaemic heart disease. Length of stay (LOS) in hospital is often used as an indicator of hospital efficiency and a proxy of resource consumption, which may be characterized as zero-inflated if there is an over-abundance of zeros, or zero-deflated if

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Network Organisation of Mycelial Fungi,lead to a high-dimensional dose searching space compared to conventional single-agent dose finding, especially when three or more drugs are combined for treatment. To overcome the burden of calibration of multiple design parameters, which often intertwine with each other, we propose a robust optimal

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Cell Biology of Fungal Infection of Plantss can be naturally grouped, group selection is important in these models. Motivated by the group bridge approach for variable selection in a multiple linear regression model, we consider group selection in a semiparametric accelerated failure time (AFT) model using Stute’s weighted least squares and

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Signal Transduction and Morphogenesis in ,rtially linear single-index proportional odds model to analyze these types of data. Polynomial smoothing spline method is applied to estimate the nuisance parameters of our model including the baseline log-odds function and the nonparametric link function with and without monotonicity constraint, re

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Cell Biology of Fungal Infection of Plantsde more efficient estimation than modeling QoL data and survival time separately, especially when there is strong association between the longitudinal measurements and the survival time. Most joint models in the literature assumed classical linear mixed model for longitudinal measurements and Cox’s

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