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Stochastic Processes and Applied Statistics
StochProc
Stochastic Processes and Applied Statistics
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Event Content

Content Type
Profile (157) | News Article (23) | Event (4) | Page (3) | Plain Page (3)
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A (1) | P (1) | S (1) | T (1)
Oct 3, 12:00 - 13:00, A new class of random field models for data on networks (B9 L2 R2322 H1), David Bolin, Associate Professor, Statistics
applied statistics, Gaussian processes, Graduate Seminar, machine learning
Feb 11, 12:00 - 13:00, Proper scoring rules and model selection for stochastic processes (KAUST), David Bolin, Associate Professor, Statistics
Graduate Seminar
Mar 23, 14:00 - 15:30, Statistical Models and Methods Based on Stochastic Partial Differential Equations (B9 L2 R2322, Zoom Meeting ID 93209452060), David Bolin, Associate Professor, Statistics
Metric graphs, non-Gaussian random fields, Public Colloquium, SPDEs, statistical analysis
Oct 31, 09:00 - Nov 3, 17:00, The KAUST 2022 Workshop on Statistics (B2 B3 A0215)
big data, complex data, data science, modeling, statistics, Workshop

Stochastic Processes and Applied Statistics (StochProc)

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