Mengersen, Kerrie

1. Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model
   2015/03/27 by Moores, Matthew T., Nicholls, Geoff K., Pettitt, Anthony N. +1 · 2 citations
   #Computation (stat.CO) #FOS: Computer and information sciences
2. Testing hypotheses via a mixture estimation model
   2014/12/05 by Kamary, Kaniav, Mengersen, Kerrie, Robert, Christian P. +1 · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
3. A framework for automated anomaly detection in high frequency\n water-quality data from in situ sensors
   2018/10/30 by Catherine Leigh, Leigh, Catherine, Omar Alsibai +21 · 1 citation
   Environmental Science · Computer Science · #Hydrological Forecasting Using AI #Anomaly Detection Techniques and Applications #Water Quality Monitoring Technologies
4. Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef
   2018/08/15 by Peterson, Erin E, Santos-Fernández, Edgar, Chen, Carla +13 · 1 citation
   #Applications (stat.AP) #FOS: Computer and information sciences
5. A flexible, random histogram kernel for discrete-time Hawkes processes
   2022/08/04 by Browning, Raiha, Rousseau, Judith, Mengersen, Kerrie · 1 citation
   #60G55 #62F15 #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
6. Approximating the Likelihood in Approximate Bayesian Computation
   2018/03/18 by Christopher Drovandi, Clara Grazian, Drovandi, Christopher C +5 · 1 citation
   Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference
7. A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning
   2023/01/18 by Xie, Hong-Bo, Li, Caoyuan, Wang, Shuliang +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
8. Federated Variational Inference Methods for Structured Latent Variable Models
   2023/02/07 by Conor Hassan, Robert Salomone, Hassan, Conor +3 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Topic Modeling
9. Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
   2023/07/28 by Conor Hassan, Robert Salomone, Hassan, Conor +3 · 1 citation
   Computer Science · #Privacy-Preserving Technologies in Data
10. The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry
    2023/06/02 by Lawson, Brodie A. J., Burrage, Kevin, Mengersen, Kerrie +1 · 1 citation
    #62-02 #62-08 (secondary) #62B11 (primary) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Statistics Theory (math.ST)
11. Bayesian spatiotemporal modelling of political violence and conflict events using discrete-time Hawkes processes
    2024/08/27 by Browning, Raiha, Patten, Hamish, Rousseau, Judith +1 · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences