A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites

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Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences (2011, methodology): “…predictive densities (D.E. Robertson and Q. J. Wang, A Bayesian approach to predictor selection for seasonal streamflow forecasting, submitted to Journal of Hydrometeorology, 2010), and with a suite of methods and tools for verification of probabilistic forecasts [Wang et al., 2009].”
Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging (2012, methodology): “Only a brief description of the BJP modeling approach is provided here, but more details can be found in Wang et al. (2009), Wang and Robertson (2011), and Robertson and Wang (2012).”
A log‐sinh transformation for data normalization and variance stabilization (2012, background): “…1 compares the performances in flow predictions of the three transformations in terms of the Akaike information criteria (AIC), continuous ranked probability score (CRPS) [e.g., Matheson and Winkler, 1976; Wang et al., 2009], and percentage of data points falling into the 90% credible interval.”