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04/28/2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Kernelized Stein discrepancy (KSD) is a score-based discrepancy widely u...
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02/11/2023
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing
We prove a convergence theorem for U-statistics of degree two, where the...
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10/15/2022
Reducing climate risk in energy system planning: a posteriori time series aggregation for models with storage
The growth in variable renewables such as solar and wind is increasing t...
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10/06/2022
Joint Entropy Search for Multi-objective Bayesian Optimization
Many real-world problems can be phrased as a multi-objective optimizatio...
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08/19/2022
Age-stratified epidemic model using a latent marked Hawkes process
We extend the unstructured homogeneously mixing epidemic model introduce...
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08/15/2022
Can a latent Hawkes process be used for epidemiological modelling?
Understanding the spread of COVID-19 has been the subject of numerous st...
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10/24/2021
Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes
This article introduces epidemia, an R package for Bayesian, regression-...
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09/19/2021
Approximate Conditional Sampling for Pattern Detection in Weighted Networks
Assessing the statistical significance of network patterns is crucial fo...
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12/01/2020
Semi-Mechanistic Bayesian Modeling of COVID-19 with Renewal Processes
We propose a general Bayesian approach to modeling epidemics such as COV...
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08/24/2020
Importance subsampling for power system planning under multi-year demand and weather uncertainty
This paper introduces a generalised version of importance subsampling fo...
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06/30/2020
On the derivation of the renewal equation from an age-dependent branching process: an epidemic modelling perspective
Renewal processes are a popular approach used in modelling infectious di...
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05/16/2020
BART-based inference for Poisson processes
The effectiveness of Bayesian Additive Regression Trees (BART) has been ...
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04/23/2020
Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update
Following the emergence of a novel coronavirus (SARS-CoV-2) and its spre...
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01/17/2020
Unit Testing for MCMC and other Monte Carlo Methods
We propose approaches for testing implementations of Markov Chain Monte ...
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01/14/2020
Scoring Predictions at Extreme Quantiles
Prediction of quantiles at extreme tails is of interest in numerous appl...
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12/21/2019
Quantifying demand and weather uncertainty in power system models using the m out of n bootstrap
This paper introduces a novel approach to quantify demand weather un...
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10/07/2019
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network
In this work, a novel approach is proposed for joint analysis of high di...
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03/26/2019
Importance subsampling: improving power system planning under climate-based uncertainty
Recent studies indicate that the effects of inter-annual climate-based v...
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09/18/2018
State-Dependent Kernel Selection for Conditional Sampling of Graphs
This paper introduces new efficient algorithms for two problems: samplin...
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08/25/2018