Varying Coefficient
Bayesian analysis of varying coefficient models and applications
... but varying DTs and diffusion ...random varying coefficient model, a semiparametric Bayesian estimation method, a Bayesian approach to construct confidence bands, a Bayesian local hypothesis testing ...
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Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality
... for solving non-convex optimization problems by applying difference convex programming, which transforms non-convex problems into convex optimization problems. This leads to significant com- putational advantages over ...
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Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection
... of varying effects for unsafe drinking water and unsafe ...the varying effects. This reaffirms the significance of fitting varying coefficient models rather than global mean models which have ...
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Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect
... The rest of this article is organized as follows. In Sec- tion 2, we introduce the residual-adjusted block empirical likelihood method and provide details on constructing the confidence interval for the varying ...
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Cross Country Output Convergence and Growth: Evidence from Varying Coefficient Nonparametric Method
... nonparametric varying coefficient panel data model to study the convergence of real GDP per capita among 120 world economies for the sample period of ...
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Bayesian variable selection for multivariate spatially-varying coefficient regression: application to physical activity in pregnancy
... These sources of heterogeneity made investigators suspect that some exposures may have different associations with physical activity in different areas. For example, sidewalks may be more important on busy streets than ...
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Generalized Likelihood Ratio Tests for Varying Coefficient Models with Censored Data
... [14] X. Luo, Z. Yang and Y. Zhou, "Varying-Coefficient Re- gression Models with Censored Data," Acta Mathemati- cae Applicatae Sinica, Vol. 29, No. 3, 2006, pp. 415-427. [15] Z. Zheng, "A Class ...
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Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions
... fixed coefficient provides the best accuracy for 1 year ahead forecasts both in the first and the second ...time varying coefficient is also ...time varying coefficient is found to be ...
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Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models
... semi-varying coefficient Poisson regression model, then an example on varying coefficient models and finally an example on a varying coefficient logistic regression ...on ...
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Estimation of functional sparsity in nonparametric varying coefficient models for longitudinal data analysis
... To achieve local sparsity, these estimates need to be adjusted in such a way that some of the estimates could be exactly zero. As demonstrated in Section 2.2, we notice that for B-spline approximation, when α j = 0 for j ...
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Efficient Shrinkage Estimation about the Partially Linear Varying Coefficient Model with Random Effect for Longitudinal Data
... With the effort to reduce the risk of model misspecification, more flexible nonlinear and non/semiparametric models have been proposed for independent and subject- dependent data. See, for example, [1] introduced the ...
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Fuzzy Varying Coefficient Bilinear Regression of Yield Series
... fuzzy varying coefficient bilinear regression (FVCBR) model with satisfying the practical significance of financial ...constant coefficient regression model and fuzzy auto regression model, the ...
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Local Empirical Likelihood Diagnosis of Varying Coefficient Density Ratio Models Based on Case Control Data
... rying coefficient model, especially for the B-spline estimation of parameter, diagnosis and influence analysis have some results ...of varying- coefficient density-ratio models with case-control data ...
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Imputed Empirical Likelihood for Varying Coefficient Models with Missing Covariates
... for varying coefficient models with missing covariates is ...the coefficient functions is proposed, and it is shown that iis limiting distribution is standard ...
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Robust Inference for Time Varying Coefficient Models with Longitudinal Data
... Time-varying coefficient models are useful in longitudinal data ...the coefficient functions, based on the least squares ...the coefficient functions and develop a robustified generalized ...
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Composite Quantile Generalized Quasi Likelihood Ratio Tests for Varying Coefficient Regression Models
... a varying coefficient quantile regression model, we focus on exploring the possible (linear, nonparametric or semiparametric) relationships between the dependent variable and some major factors which might ...
5
Varying Coefficient Models for Mapping Quantitative Trait Loci Using Recombinant Inbred Intercrosses
... directly applied to RIX data. This is because some RIX indi- viduals share a common parental RI line, making them genetically more related to each other than those that do not share any parental lines. Several QTL ...
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The importance of scale in spatially varying coefficient modelling
... package for exploring spatial heterogeneity using geographically weighted models. Eigenfunction properties and approximations of selected[r] ...
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Numerical Analysis of Chloride Diffusion in Concrete with Time Varying Coefficient Based on the ADI Method
... diffusion coefficient and diffusion time. Chloride ion diffusion coefficient is often considered to be a constant when we calculate the numerical model of the Chloride ion ...
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Perishability of Data: Dynamic Pricing under Varying-Coefficient Models
... We consider a pricing problem faced by a firm that sells products in a sequential manner. Note that the noise can account for the features that are not measured. ) is unknown to the firm[r] ...
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