Pages that link to "Item:Q2324309"
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The following pages link to Reconstructing missing data sequences in multivariate time series: an application to environmental data (Q2324309):
Displaying 4 items.
- Detecting time-changes in \(PM_{10}\) during covid pandemic by means of an Ornstein Uhlenbeck type process (Q1980127) (← links)
- Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets (Q2135944) (← links)
- Filling gaps in ecological time series by means of twin surrogates (Q2915482) (← links)
- Multiple Imputation for Multivariate Data with Missing and Below‐Threshold Measurements: Time‐Series Concentrations of Pollutants in the Arctic (Q3078676) (← links)