Data integration is the process of extracting information from multiple sources and jointly
analyzing different data sets. In this paper, we propose to use the mixed ℓ 2, 1 regularized …

The increasing interest in survey research focuses on inferring grouped association patterns
between risk factors and questionnaire responses, with grouping shared across multiple …

Practical scenarios often present instances where the types of responses are different
between multi-source different datasets, reflecting distinct attributes or characteristics. In this …

Extensions of quantile regression modeling for time series analysis are extensively
employed in medical and health studies. This study introduces a specific class of …

Data integration is the process of extracting information from multiple sources and analyzing
different related data sets simultaneously. The aggregated information can reduce the …

This thesis explores the inference of generalized partially linear measurement error models,
focusing on multivariate mixed-type responses. Our approach utilizes the Monte Carlo …