Searched for: subject%3A%22Missing%255C+values%22
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Bizzarri, D. (author), Reinders, M.J.T. (author), Beekman, M. (author), Slagboom, P. E. (author), van den Akker, E.B. (author)
Background: Missing or incomplete phenotypic information can severely deteriorate the statistical power in epidemiological studies. High-throughput quantification of small-molecules in bio-samples, i.e. ‘metabolomics’, is steadily gaining popularity, as it is highly informative for various phenotypical characteristics. Here we aim to leverage...
journal article 2022
van 't Wout, Maarten (author)
Handling missing values is crucial for accurately forecasting time series with different sampling rates. In stock price prediction, for example, the daily stock prices and quarterly valuation figures are sampled at a different rate, and both are useful in estimating the daily stock price’s future. This research proposes combining imputation...
master thesis 2021
Dembele, M. (author), Oriani, Fabio (author), Tumbulto, Jacob (author), Mariéthoz, Grégoire (author), Schaefli, Bettina (author)
Complete hydrological time series are necessary for water resources management and modeling. This can be challenging in data scarce environments where data gaps are ubiquitous. In many applications, repetitive gaps can have unfortunate consequences including ineffective model calibration, unreliable timing of peak flows, and biased statistics....
journal article 2019