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07/11/2023
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling
Differential privacy guarantees allow the results of a statistical analy...
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02/10/2023
Bayesian Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation
We propose a sparse vector autoregressive (VAR) hidden semi-Markov model...
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01/31/2023
On the Stability of General Bayesian Inference
We study the stability of posterior predictive inferences to the specifi...
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10/20/2022
Graphical model inference with external network data
A frequent challenge when using graphical models in applications is that...
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08/24/2021
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale
Increasing interest in privacy-preserving machine learning has led to ne...
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06/02/2021
General Bayesian Loss Function Selection and the use of Improper Models
Statisticians often face the choice between using probability models or ...
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11/16/2020
Foundations of Bayesian Learning from Synthetic Data
There is significant growth and interest in the use of synthetic data as...
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06/16/2020
Bayesian Approximations to Hidden Semi-Markov Models
We propose a Bayesian hidden Markov model for analyzing time series and ...
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04/03/2019
Generalized Variational Inference
This paper introduces a generalized representation of Bayesian inference...
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06/06/2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences
We present the very first robust Bayesian Online Changepoint Detection a...
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02/26/2018
Principles of Bayesian Inference using General Divergence Criteria
When it is acknowledged that all candidate parameterised statistical mod...
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02/26/2018