Scott A. Sisson

56 papers A* 7A 4Journal 44Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-Dependent Rectangular Bounding Processes.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuhui Fan, Bin Li, Prosha Rahman, Scott A. Sisson
2025 J jnl
Compact Bayesian Neural Networks via pruned MCMC sampling.
CoRR
Ratneel Deo, Scott A. Sisson, Jody M. Webster, Rohitash Chandra
2025 J jnl
Convergence Aspects of Hybrid Kernel SVGD.
Trans. Mach. Learn. Res.
Anson MacDonald, Scott A. Sisson, Sahani Pathiraja
2025 J jnl
Modelling time series with temporal and spatial correlations in transport planning using hierarchical ARIMA-copula Model: A Bayesian approach.
Expert Syst. Appl.
Siroos Shahriari, Scott A. Sisson, Taha Rashidi
2025 J jnl
Positional Encoder Graph Quantile Neural Networks for Geographic Data.
Trans. Mach. Learn. Res.
William E. R. de Amorim, Scott A. Sisson, Thais Carvalho Valadares Rodrigues, David J. Nott, Guilherme S. Rodrigues
2024 J jnl
Model-Free Local Recalibration of Neural Networks.
CoRR
R. Torres, David J. Nott, Scott A. Sisson, T. Rodrigues, J. G. Reis, G. S. Rodrigues
2024 J jnl
Positional Encoder Graph Quantile Neural Networks for Geographic Data.
CoRR
William E. R. de Amorim, Scott A. Sisson, T. Rodrigues, David J. Nott, Guilherme S. Rodrigues
2023 A* conf
Free-Form Variational Inference for Gaussian Process State-Space Models.
ICML
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
2023 J jnl
Free-Form Variational Inference for Gaussian Process State-Space Models.
CoRR
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
2023 J jnl
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
2023 J jnl
Modularized Bayesian analyses and cutting feedback in likelihood-free inference.
Stat. Comput.
Atlanta Chakraborty, David J. Nott, Christopher C. Drovandi, David T. Frazier, Scott A. Sisson
2023 J jnl
New models for symbolic data analysis.
Adv. Data Anal. Classif.
Boris Beranger, Huan Lin, Scott A. Sisson
2022 J jnl
Efficient Bayesian Synthetic Likelihood With Whitening Transformations.
J. Comput. Graph. Stat.
Jacob W. Priddle, Scott A. Sisson, David T. Frazier, Ian W. Turner, Christopher C. Drovandi
2022 J jnl
Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries.
IEEE Trans. Signal Inf. Process. over Networks
Prosha Rahman, Boris Beranger, Scott A. Sisson, Matthew Roughan
2022 J jnl
Smoothing graphons for modelling exchangeable relational data.
Mach. Learn.
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2021 A* conf
Bayesian Nonparametric Space Partitions: A Survey.
IJCAI
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
2021 A* conf
Continuous-time edge modelling using non-parametric point processes.
NeurIPS
Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson
2021 — conf
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks.
ECML/PKDD (2)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2021 J jnl
Logistic Regression Models for Aggregated Data.
J. Comput. Graph. Stat.
Thomas Whitaker, Boris Beranger, Scott A. Sisson
2021 A* conf
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks.
ICML
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson
2020 J jnl
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
IEEE Trans. Signal Process.
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
2020 J jnl
Bayesian Nonparametric Space Partitions: A Survey.
CoRR
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
2020 J jnl
Composite likelihood methods for histogram-valued random variables.
Stat. Comput.
Thomas Whitaker, Boris Beranger, Scott A. Sisson
2020 J jnl
Likelihood-free approximate Gibbs sampling.
Stat. Comput.
G. S. Rodrigues, David J. Nott, Scott A. Sisson
2020 A conf
Online Binary Space Partitioning Forests.
AISTATS
Xuhui Fan, Bin Li, Scott A. Sisson
2020 J jnl
Online Binary Space Partitioning Forests.
CoRR
Xuhui Fan, Bin Li, Scott A. Sisson
2020 J jnl
Predicting seagrass decline due to cumulative stressors.
Environ. Model. Softw.
Matthew P. Adams, Edwin J. Y. Koh, Maria P. Vilas, Catherine J. Collier, Victoria M. Lambert, Scott A. Sisson, Matias Quiroz, Eve McDonald-Madden, Len J. McKenzie, Katherine R. O'Brien
2020 J jnl
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling.
CoRR
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2020 A* conf
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling.
IJCAI
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
2020 J jnl
Smoothing Graphons for Modelling Exchangeable Relational Data.
CoRR
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
2019 J jnl
Acceleration of expensive computations in Bayesian statistics using vector operations.
CoRR
David J. Warne, Scott A. Sisson, Christopher C. Drovandi
2019 A conf
Binary Space Partitioning Forest.
AISTATS
Xuhui Fan, Bin Li, Scott A. Sisson
2019 J jnl
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator.
IEEE Trans. Image Process.
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
2019 A* conf
Scalable Deep Generative Relational Model with High-Order Node Dependence.
NeurIPS
Xuhui Fan, Bin Li, Caoyuan Li, Scott A. Sisson, Ling Chen
2019 A conf
Variance reduction properties of the reparameterization trick.
AISTATS
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
2018 J jnl
Likelihood-free inference in high dimensions with synthetic likelihood.
Comput. Stat. Data Anal.
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
2018 J jnl
On some variance reduction properties of the reparameterization trick.
CoRR
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
2018 J jnl
Recalibration: A post-processing method for approximate Bayesian computation.
Comput. Stat. Data Anal.
G. S. Rodrigues, Dennis Prangle, Scott A. Sisson
2018 A* conf
Rectangular Bounding Process.
NeurIPS
Xuhui Fan, Bin Li, Scott A. Sisson
2018 A conf
The Binary Space Partitioning-Tree Process.
AISTATS
Xuhui Fan, Bin Li, Scott A. Sisson
2018 J jnl
Variational Bayes with synthetic likelihood.
Stat. Comput.
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
2017 J jnl
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model.
Comput. Stat. Data Anal.
Jialiang Li, David J. Nott, Y. Fan, Scott A. Sisson
2017 J jnl
Nonlinear manifold representation in natural systems: The SOMersault.
Environ. Model. Softw.
Stephanie R. Clark, Scott A. Sisson, Ashish Sharma
2016 J jnl
A dimension range representation (DRR) measure for self-organizing maps.
Pattern Recognit.
Stephanie R. Clark, Scott A. Sisson, Ashish Sharma
2016 J jnl
Functional regression approximate Bayesian computation for Gaussian process density estimation.
Comput. Stat. Data Anal.
G. S. Rodrigues, David J. Nott, Scott A. Sisson
2015 J jnl
Bayesian threshold selection for extremal models using measures of surprise.
Comput. Stat. Data Anal.
J. Lee, Yanan Fan, Scott A. Sisson
2015 J jnl
Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map.
Ecol. Informatics
Stephanie R. Clark, Peter Sarlin, Ashish Sharma, Scott A. Sisson
2014 J jnl
Simultaneous adjustment of bias and coverage probabilities for confidence intervals.
Comput. Stat. Data Anal.
Patricia Menéndez, Yanan Fan, Paul H. Garthwaite, Scott A. Sisson
2012 J jnl
A Model-Based Bayesian Estimation of the Rate of Evolution of VNTR Loci in
PLoS Comput. Biol.
R. Zachariah Aandahl, Josephine F. Reyes, Scott A. Sisson, Mark M. Tanaka
2012 J jnl
Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling.
Environ. Model. Softw.
Erwin Jeremiah, Scott A. Sisson, Ashish Sharma, Lucy A. Marshall
2012 J jnl
Likelihood-free Bayesian inference for α-stable models.
Comput. Stat. Data Anal.
Gareth W. Peters, Scott A. Sisson, Yanan Fan
2012 J jnl
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation.
Stat. Comput.
Gareth W. Peters, Yanan Fan, Scott A. Sisson
2010 J jnl
Bayesian symbol detection in wireless relay networks via likelihood-free inference.
IEEE Trans. Signal Process.
Gareth W. Peters, Ido Nevat, Scott A. Sisson, Yanan Fan, Jinhong Yuan
2009 J jnl
Automating and evaluating reversible jump MCMC proposal distributions.
Stat. Comput.
Yanan Fan, Gareth W. Peters, Scott A. Sisson
2007 J jnl
A distance-based diagnostic for trans-dimensional Markov chains.
Stat. Comput.
Scott A. Sisson, Yanan Fan
2003 J jnl
Principles of Data Mining.
Inf. Retr.
Scott A. Sisson