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Wade Prowler Collaboration
Wade, Sara
(Principal Investigator)
School of Mathematics
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
19/08/19
→
18/01/20
Funding
UK industry, commerce and public corporations:
£5,579.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Gaussian Markov Random Field
Mathematics
100%
Strong Coupling
Mathematics
92%
Banded Matrix
Mathematics
90%
Nonstationarity
Mathematics
87%
Interpretability
Mathematics
86%
Scalability
Mathematics
84%
Hyperparameters
Mathematics
81%
Model Fitting
Mathematics
78%
Research output
Research output per year
2020
2020
2020
1
Article
Research output per year
Research output per year
Posterior inference for sparse hierarchical non-stationary models
Monterrubio-Gomez, K.
,
Roininen, L.
,
Wade, S. K.
,
Damoulas, T.
&
Girolami, M.
,
31 Aug 2020
,
In:
Computational statistics & data analysis.
148
,
p. 42
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Gaussian Markov Random Field
100%
Strong Coupling
92%
Banded Matrix
90%
Nonstationarity
87%
Interpretability
86%