A dimension-reduced approach to space-time Kalman filtering von Wikle, CK, Cressie, N

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A Spatio-Temporal Model for Mean, Anomaly, and Trend Fields of North Atlantic Sea Surface Temperature von Lemos, Ricardo T., Sansó, Bruno

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Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio-temporal models von Gladish, D.W., Wikle, C.K.

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Hierarchical Bayesian Models for Predicting the Spread of Ecological Processes von Wikle, Christopher K.

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Modeling 3-D spatio-temporal biogeochemical processes with a forest of 1-D statistical emulators von Leeds, W. B., Wikle, C. K., Fiechter, J., Brown, J., Milliff, R. F.

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Covariate-based cepstral parameterizations for time-varying spatial error covariances von Gladish, D.W., Wikle, C.K., Holan, S.H.

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Accounting for Uncertainty in Ecological Analysis: the Strengths and Limitations of Hierarchical Statistical Modeling von Cressie, Noel, Calder, Catherine A., Clark, James S., Hoef, Jay M. Ver, Wikle, Christopher K.

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Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef von Pagendam, D.E., Kuhnert, P.M., Leeds, W.B., Wikle, C.K., Bartley, R., Peterson, E.E.

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Long-Lead Prediction of Pacific SSTs via Bayesian Dynamic Modeling von Berliner, L. Mark, Wikle, Christopher K., Cressie, Noel

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Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model von Wikle, Christopher K., Anderson, Christopher J.

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Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE von WIKLE, C. K, MILLIFF, R. F, LARGE, W. G

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Bayesian hierarchical modeling of air-sea interaction von Berliner, L. Mark, Milliff, Ralph F., Wikle, Christopher K.

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Catalysing virtual collaboration: The experience of the remote TIES working groups von Meis, M., Pirani, M., Euan, C., Castruccio, S., Simmons, S., Stroud, J.R., Blangiardo, M., Wikle, C.K., Wheeler, M., Naumova, E., Bravo, L., Miller, C., Gel, Y.

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Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model von HOOTEN, Mevin B, LARSEN, David R, WIKLE, Christopher K

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Population influences on tornado reports in the United States von ANDERSON, Christopher J, WIKLE, Christopher K, QIN ZHOU, ROYLE, J. Andrew

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Emulator-assisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes von Leeds, W.B., Wikle, C.K., Fiechter, J.

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Identifying Periodic Components in Atmospheric Data Using a Family of Minimum Variance Spectral Estimators von Wikle, Christopher K., Sherman, Peter J., Chen, Tsing-Chang

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Hierarchical Models in Environmental Science von Wikle, Christopher K.

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Space: Time Dynamic Design of Environmental Monitoring Networks von Wikle, Christopher K., Royle, J. Andrew

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The Variance-Based Cross-Variogram: You Can Add Apples and Oranges von Cressie, Noel, Wikle, Christopher K

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