Sally Cripps

Identifiers

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Papers (7)

1. Structured Variational Inference in Continuous Cox Process Models stat.ML · 2019 · author #4
2. Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series q-fin.ST · 2019 · author #4
3. Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success stat.AP · 2018 · author #7
4. Langevin-gradient parallel tempering for Bayesian neural learning cs.LG · 2018 · author #4
5. A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent stat.AP · 2018 · author #4
6. Irreproducibility; Nothing is More Predictable stat.AP · 2018 · author #5
7. A Bayesian Approach to Predicting Disengaged Youth stat.AP · 2016 · author #2

Mentions

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Frequent Coauthors

• David Kohn 3 shared papers
• Hugh Durrant-Whyte 2 shared papers
• Nick Glozier 2 shared papers
• Rohitash Chandra 2 shared papers
• Edward Cripps 1 shared papers
• Edwin V. Bonilla 1 shared papers
• Gregory Houseman 1 shared papers
• Hugo Olierook 1 shared papers
• Ian B. Hickie 1 shared papers
• Konark Jain 1 shared papers
• Mark Girolami 1 shared papers
• Michael Bertolacci 1 shared papers
• Nick James 1 shared papers
• Ori Rosen 1 shared papers
• Ratneel V. Deo 1 shared papers
• Richard Gerlach 1 shared papers
• Richard Scalzo 1 shared papers
• Roman Marchant 1 shared papers
• Theodoros Damoulas 1 shared papers
• Virginia Aglietti 1 shared papers