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This so-called time-clustering leads to grasp models using time as an input parameter and fingertip positions as outputs.
The present thesis engages this intersection through an analysis of the association of market-support and democracy-support with opinion of the US and other foreign powers through regional and country-level models, using time series survey data from 1995 to 2013 of the Latinobarómetro survey.
We propose to develop Seasonal Autoregressive Integrated Moving Average SARIMAA) models using time series analysis of dengue incidence.
Simon et al. [ 14] also showed how to utilize cross-validation for the evaluation of prediction models using time dependent ROC curves.
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The present work addresses this challenge by presenting a methodology for obtaining high-confidence predictions from dynamic models using time-series data.
(2014) prove different specifications of FAVAR models, using time-varying coefficients (tv) and stochastic volatility errors.
This study replicates previous models using time-series analysis and consideration of large increases in female schooling over the past 30 years.
Various models using time-dependent Radon measures have already been published by Carrillo, Colombo, Piccoli and collaborators, for example (see, e.g., [20, 21, 62, 63, 64] and references therein).
Fisher highlighted this potential problem with survival models using time-dependent covariates [ 25].
Nonproportionality of hazards over time was tested in race-specific models using time-dependent covariates for the blood pressure categories.
The minimal differences in incidence rates of hypertension or microalbuminuria between treatment groups during the study allowed for further analysis of other factors contributing to these complications (Fig. 1 A and Fig. 2 A ). Risk of developing hypertension or microalbuminuria was assessed in separate models using time-to-event analysis with the log-rank test.
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