Andrew Zammit-Mangion

21 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neural Bayes Estimators for Irregular Spatial Data Using Graph Neural Networks.
J. Comput. Graph. Stat.
Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Jordan Richards, Raphaël Huser
2024 J jnl
Correction to: R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models.
Stat. Comput.
Bao Anh Vu, David Gunawan, Andrew Zammit-Mangion
2024 J jnl
Mixture modeling with normalizing flows for spherical density estimation.
Adv. Data Anal. Classif.
Tin Lok James Ng, Andrew Zammit-Mangion
2024 J jnl
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK.
J. Stat. Softw.
Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Noel Cressie
2024 J jnl
Neural Bayes estimators for censored inference with peaks-over-threshold models.
J. Mach. Learn. Res.
Jordan Richards, Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser
2024 J jnl
Neural Methods for Amortised Parameter Inference.
CoRR
Andrew Zammit-Mangion, Matthew Sainsbury-Dale, Raphaël Huser
2024 J jnl
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models.
Stat. Comput.
Bao Anh Vu, David Gunawan, Andrew Zammit-Mangion
2023 J jnl
Spatial Bayesian Neural Networks.
CoRR
Andrew Zammit-Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie
2023 J jnl
Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data.
Remote. Sens.
Joshuah Jacobson, Noel Cressie, Andrew Zammit-Mangion
2022 J jnl
Statistical Deep Learning for Spatial and Spatio-Temporal Data.
CoRR
Christopher K. Wikle, Andrew Zammit-Mangion
2021 J jnl
Emulation of greenhouse-gas sensitivities using variational autoencoders.
CoRR
Laura Cartwright, Andrew Zammit-Mangion, Nicholas M. Deutscher
2021 J jnl
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets.
J. Stat. Softw.
Andrew Zammit-Mangion, Noel Cressie
2021 J jnl
False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data.
J. Comput. Graph. Stat.
Hsin-Cheng Huang, Noel Cressie, Andrew Zammit-Mangion, Guowen Huang
2020 J jnl
Multi-scale process modelling and distributed computation for spatial data.
Stat. Comput.
Andrew Zammit-Mangion, Jonathan Rougier
2019 J jnl
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting.
CoRR
Andrew Zammit-Mangion, Christopher K. Wikle
2018 J jnl
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields.
Comput. Stat. Data Anal.
Andrew Zammit-Mangion, Jonathan Rougier
2018 J jnl
On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals.
Remote. Sens.
Andrew Zammit-Mangion, Noel Cressie, Clint Shumack
2013 — book
Modeling Conflict Dynamics with Spatio-temporal Data.
Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaid Flesken, Guido Sanguinetti
2012 J jnl
Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations.
IEEE Trans. Signal Process.
Andrew Zammit-Mangion, Guido Sanguinetti, Visakan Kadirkamanathan
2011 — —
Modelling from spatiotemporal data : a dynamic systems approach.
Andrew Zammit-Mangion
2011 J jnl
Online Variational Inference for State-Space Models with Point-Process Observations.
Neural Comput.
Andrew Zammit-Mangion, Ke Yuan, Visakan Kadirkamanathan, Mahesan Niranjan, Guido Sanguinetti