validation, a method that links them to choices in incentivized elicitations. We illustrate theoretically that experimental … validation may fail to produce reliable new measures. Empirically, analyzing data from over 13,000 participants across diverse …

performed a creativity task in a high-stakes winner-takes-all tournament. The treatment without validation informed all players … that evaluations that they will conduct determine who will win. The treatment with public validation additionally informed … there is no validation. This gender difference vanishes completely when providing public validation. …

quantile loss function, least absolute errors, and generalized cross-validation criteria to estimate the model parameters. We …

optimisations and cross-validation, we study Gaussian process (GP) regressions for our forecasting needs. Findings - The produced …

in locating ideal hyperparameters and defining appropriate validation methods. Specifically, it focuses on predicting the …-based Long-Short Term Memory (LSTM) model, the study optimizes hyperparameters alongside walk-forward validation for time series …. The results highlight the importance of optimizing hyperparameters and utilizing walk-forward validation for accurate time …