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Publications by Andrew Zammit Mangion
Online Variational Inference for State-Space Models With Point-Process Observations
Neural Computation
Arts
Cognitive Neuroscience
Humanities
Related publications
Variational Bayesian Inference for Point Process Generalized Linear Models in Neural Spike Trains Analysis
Efficient Inference in State-Space Models Through Adaptive Learning in Online Monte Carlo Expectation Maximization
Computational Statistics
Computational Mathematics
Statistics
Uncertainty
Probability
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends in Machine Learning
Human-Computer Interaction
Artificial Intelligence
Software
Recursive Prediction Error Methods for Online Estimation in Nonlinear State-Space Models
Modeling, Identification and Control
Control
Systems Engineering
Simulation
Computer Science Applications
Modeling
Software
Graph Mining With Variational Dirichlet Process Mixture Models
Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form
SSRN Electronic Journal
Particle Filter-Based Approximate Maximum Likelihood Inference Asymptotics in State-Space Models
ESAIM: Proceedings
An Online Variational Inference and Ensemble Based Multi-Label Classifier for Data Streams
Sparse Physics-Based Gaussian Process for Multi-Output Regression Using Variational Inference
