Implementation MWPCR with R
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Updated
Oct 31, 2017 - R
Implementation MWPCR with R
Replicate the results of nowcasting housing sales by Google Queries, using Bayesian Structural Time-Series Model (Choi & Varian, 2009, 2012).
Biomarker selection in penalized regression models
R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
Random Forest Two Sample Testing
Statistical inference in sparse high-dimensional additive models
An R package for regression analysis of data from extreme sampling
R package for Non-local Prior Based Iterative Variable Selection for Genome-Wide Association Studies, or Other High-Dimensional Data
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series
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