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Elsevier
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Spatial Statistics
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2026
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Christopher K. Wikle
results 7 · Newest (Page 1/1, per page 25)
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Inference for stationary Log-Gaussian Cox point processes using Bayesian deep learning: Application to human oral microbiome image data
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Spatial Statistics
· 2026 · Vol. 73 · Elsevier
Shuwan Wang
;
Christopher K. Wikle
;
Athanasios C. Micheas
;
Jessica L. Mark Welch
;
Jacqueline R. Starr
;
Kyu Ha Lee
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Spatial statistics: Climate and the environment
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Spatial Statistics
· 2024 · Vol. 63 · Elsevier
Christopher K. Wikle
;
Mevin B. Hooten
;
William Kleiber
;
Douglas W. Nychka
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Space, uncertainty, and the environment: honoring the distinguished career of Noel Cressie
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Spatial Statistics
· 2024 · Vol. 61 · Elsevier
Alfred Stein
;
Christopher K. Wikle
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Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata
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Spatial Statistics
· 2024 · Vol. 60 · Elsevier
Nicholas Grieshop
;
Christopher K. Wikle
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Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics
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Spatial Statistics
· 2024 · Vol. 59 · Elsevier
Nicholas Grieshop
;
Christopher K. Wikle
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Deep learning and spatial statistics
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Spatial Statistics
· 2023 · Vol. 57 · Elsevier
Christopher K. Wikle
;
Jorge Mateu
;
Andrew Zammit-Mangion
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Using echo state networks to inform physical models for fire front propagation
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Spatial Statistics
· 2023 · Vol. 54 · Elsevier
Myungsoo Yoo
;
Christopher K. Wikle
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