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09/19/2023
An Extendable Python Implementation of Robust Optimisation Monte Carlo
Performing inference in statistical models with an intractable likelihoo...
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07/29/2022
Enhanced gradient-based MCMC in discrete spaces
The recent introduction of gradient-based MCMC for discrete spaces holds...
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11/08/2020
Extending the statistical software package Engine for Likelihood-Free Inference
Bayesian inference is a principled framework for dealing with uncertaint...
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10/20/2020
Neural Approximate Sufficient Statistics for Implicit Models
We consider the fundamental problem of how to automatically construct su...
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05/03/2019
Parallel Gaussian process surrogate method to accelerate likelihood-free inference
We consider Bayesian inference when only a limited number of noisy log-l...
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10/23/2018
Efficient Bayesian Experimental Design for Implicit Models
Bayesian experimental design involves the optimal allocation of resource...
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10/18/2018
Variational Noise-Contrastive Estimation
Unnormalised latent variable models are a broad and flexible class of st...
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08/02/2017
ELFI: Engine for Likelihood Free Inference
The Engine for Likelihood-Free Inference (ELFI) is a Python software lib...
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10/20/2016
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria
Approximate Bayesian computation (ABC) can be used for model fitting whe...
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03/15/2012
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
We introduce a new family of estimators for unnormalized statistical mod...
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02/14/2012