A latent Gaussian model for multivariate consumption data
نویسندگان
چکیده
منابع مشابه
A latent Gaussian model for multivariate consumption data
We propose a multivariate statistical model for individual consumption of multiple food types, to provide a more objective basis for exposure assessment from chronic consumption. Intake of each type of food is modelled by a latent Gaussian variable, where intake is zero if the latent variable is below a threshold, and otherwise is a monotonically increasing function of the latent variable. Furt...
متن کاملLatent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Sample code Thickness Unif. Cell Size Unif. Cell Shape Marginal Adhesion Epithelial Cell Size Bare Nuclei Bland Chromatin Normal Nucleoli Mitoses Class 1000025 5 1 1 1 2 1 3 1 1 Benign 1002945 5 4 4 5 7 10 3 2 1 Benign 1015425 3 1 1 1 2 2 3 1 1 Benign 1016277 6 8 8 1 3 4 3 7 1 Benign 1017023 4 1 1 3 2 1 3 1 1 Benign 1017122 8 10 10 8 7 10 9 7 1 Malignant 1018099 1 1 1 1 2 10 3 1 1 Benign 101856...
متن کاملMultilevel Latent Gaussian Process Model for Mixed Discrete and Continuous Multivariate Response Data
We propose a Bayesian model for mixed ordinal and continuous multivariate data to evaluate a latent spatial Gaussian process. Our proposed model can be used in many contexts where mixed continuous and discrete multivariate responses are observed in an effort to quantify an unobservable continuous measurement. In our example, the latent, or unobservable measurement is wetland condition. While pr...
متن کاملA latent-class mixture model for incomplete longitudinal Gaussian data.
In the analyses of incomplete longitudinal clinical trial data, there has been a shift, away from simple methods that are valid only if the data are missing completely at random, to more principled ignorable analyses, which are valid under the less restrictive missing at random assumption. The availability of the necessary standard statistical software nowadays allows for such analyses in pract...
متن کاملA latent Gaussian model for compositional data with zeroes
Compositional data record the relative proportions of different components within a mixture, and arise frequently in many fields. Standard statistical techniques for the analysis of such data assume the absence of proportions which are genuinely zero. However, real data can contain a substantial number of zero values. We present a latent Gaussian model for the analysis of compositional data whi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Food Quality and Preference
سال: 2007
ISSN: 0950-3293
DOI: 10.1016/j.foodqual.2006.03.025