Imputation of GPS Coordinate Time Series Using missForest

Spatiotemporal Filtering and Noise Analysis for Regional GNSS Network in Antarctica Using Independent Component Analysis

(2019) Wenhao Li et al.   Remote Sensing

Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates

(2018) Bin Liu et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

On the overestimation of random forest’s out-of-bag error

(2018) Silke Janitza et al.   PLoS One

A MATLAB-based Kriged Kalman Filter software for interpolating missing data in GNSS coordinate time series

(2017) Ning Liu et al.   GPS SOLUTIONS

An effective toolkit for the interpolation and gross error detection of GPS time series

(2016) X. Wang et al.   SURVEY REVIEW

Reconstruction of gappy GPS coordinate time series using empirical orthogonal functions

(2016) Chang Xu   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Accuracy enhancement of GPS time series using principal component analysis and block spatial filtering

(2015) Xiaoxing He et al.   ADVANCES IN SPACE RESEARCH

Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

(2014) Anoop D. Shah et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Aseismic deformation across the Hilina fault system, Hawaii, revealed by wavelet analysis of InSAR and GPS time series

(2013) M. Shirzaei et al.   EARTH AND PLANETARY SCIENCE LETTERS

Singular spectrum analysis for modeling seasonal signals from GPS time series

(2013) Q. Chen et al.   JOURNAL OF GEODYNAMICS

Comparison of imputation methods for missing laboratory data in medicine

(2013) Akbar K Waljee et al.   BMJ Open

MissForest--non-parametric missing value imputation for mixed-type data

(2011) D. J. Stekhoven et al.   BIOINFORMATICS