Scott A. Sisson

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 36

Top Topics

Gaussian Process

Variance Reduction

Relational Data

Bayesian Nonparametric

Top Venues

Comput. Stat. Data Anal.

Publications

R. Torres, David J. Nott, Scott A. Sisson, T. Rodrigues, J. G. Reis, G. S. Rodrigues
Model-Free Local Recalibration of Neural Networks. CoRR (2024)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Atlanta Chakraborty, David J. Nott, Christopher C. Drovandi, David T. Frazier, Scott A. Sisson
Modularized Bayesian analyses and cutting feedback in likelihood-free inference. Stat. Comput. 33 (1) (2023)
Boris Beranger, Huan Lin, Scott A. Sisson
New models for symbolic data analysis. Adv. Data Anal. Classif. 17 (3) (2023)
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
Free-Form Variational Inference for Gaussian Process State-Space Models. ICML (2023)
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
Free-Form Variational Inference for Gaussian Process State-Space Models. CoRR (2023)
Prosha Rahman, Boris Beranger, Scott A. Sisson, Matthew Roughan
Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Smoothing graphons for modelling exchangeable relational data. Mach. Learn. 111 (1) (2022)
Jacob W. Priddle, Scott A. Sisson, David T. Frazier, Ian W. Turner, Christopher C. Drovandi
Efficient Bayesian Synthetic Likelihood With Whitening Transformations. J. Comput. Graph. Stat. 31 (1) (2022)
Thomas Whitaker, Boris Beranger, Scott A. Sisson
Logistic Regression Models for Aggregated Data. J. Comput. Graph. Stat. 30 (4) (2021)
Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson
Continuous-time edge modelling using non-parametric point processes. NeurIPS (2021)
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks. ICML (2021)
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Bayesian Nonparametric Space Partitions: A Survey. IJCAI (2021)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) (2021)
Xuhui Fan, Bin Li, Scott A. Sisson
Online Binary Space Partitioning Forests. CoRR (2020)
G. S. Rodrigues, David J. Nott, Scott A. Sisson
Likelihood-free approximate Gibbs sampling. Stat. Comput. 30 (4) (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR (2020)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR (2020)
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Bayesian Nonparametric Space Partitions: A Survey. CoRR (2020)
Xuhui Fan, Bin Li, Scott A. Sisson
Online Binary Space Partitioning Forests. AISTATS (2020)
Thomas Whitaker, Boris Beranger, Scott A. Sisson
Composite likelihood methods for histogram-valued random variables. Stat. Comput. 30 (5) (2020)
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
Predicting seagrass decline due to cumulative stressors. Environ. Model. Softw. 130 (2020)
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68 (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. IJCAI (2020)
Xuhui Fan, Bin Li, Scott A. Sisson
Binary Space Partitioning Forest. AISTATS (2019)
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
Variance reduction properties of the reparameterization trick. AISTATS (2019)
David J. Warne, Scott A. Sisson, Christopher C. Drovandi
Acceleration of expensive computations in Bayesian statistics using vector operations. CoRR (2019)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28 (10) (2019)
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
On some variance reduction properties of the reparameterization trick. CoRR (2018)
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
Variational Bayes with synthetic likelihood. Stat. Comput. 28 (4) (2018)
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
Likelihood-free inference in high dimensions with synthetic likelihood. Comput. Stat. Data Anal. 128 (2018)
G. S. Rodrigues, Dennis Prangle, Scott A. Sisson
Recalibration: A post-processing method for approximate Bayesian computation. Comput. Stat. Data Anal. 126 (2018)
Stephanie R. Clark, Scott A. Sisson, Ashish Sharma
Nonlinear manifold representation in natural systems: The SOMersault. Environ. Model. Softw. 89 (2017)
Jialiang Li, David J. Nott, Y. Fan, Scott A. Sisson
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model. Comput. Stat. Data Anal. 106 (2017)
G. S. Rodrigues, David J. Nott, Scott A. Sisson
Functional regression approximate Bayesian computation for Gaussian process density estimation. Comput. Stat. Data Anal. 103 (2016)
Stephanie R. Clark, Scott A. Sisson, Ashish Sharma
A dimension range representation (DRR) measure for self-organizing maps. Pattern Recognit. 53 (2016)
Stephanie R. Clark, Peter Sarlin, Ashish Sharma, Scott A. Sisson
Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map. Ecol. Informatics 26 (2) (2015)
J. Lee, Yanan Fan, Scott A. Sisson
Bayesian threshold selection for extremal models using measures of surprise. Comput. Stat. Data Anal. 85 (2015)
Patricia Menéndez, Yanan Fan, Paul H. Garthwaite, Scott A. Sisson
Simultaneous adjustment of bias and coverage probabilities for confidence intervals. Comput. Stat. Data Anal. 70 (2014)
Erwin Jeremiah, Scott A. Sisson, Ashish Sharma, Lucy Marshall
Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling. Environ. Model. Softw. 38 (2012)
R. Zachariah Aandahl, Josephine F. Reyes, Scott A. Sisson, Mark M. Tanaka
. PLoS Comput. Biol. 8 (6) (2012)
Gareth W. Peters, Scott A. Sisson, Yanan Fan
Likelihood-free Bayesian inference for α-stable models. Comput. Stat. Data Anal. 56 (11) (2012)
Gareth W. Peters, Yanan Fan, Scott A. Sisson
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation. Stat. Comput. 22 (6) (2012)
Gareth W. Peters, Ido Nevat, Scott A. Sisson, Yanan Fan, Jinhong Yuan
Bayesian symbol detection in wireless relay networks via likelihood-free inference. IEEE Trans. Signal Process. 58 (10) (2010)
Yanan Fan, Gareth W. Peters, Scott A. Sisson
Automating and evaluating reversible jump MCMC proposal distributions. Stat. Comput. 19 (4) (2009)
Scott A. Sisson, Yanan Fan
A distance-based diagnostic for trans-dimensional Markov chains. Stat. Comput. 17 (4) (2007)