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Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering Marcin JurekMatthias Katzfuss OriginalPaper Open access 18 January 2022 Article: 15
Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes Flávio B. GonçalvesLívia M. DutraRoger W. C. Silva OriginalPaper 06 January 2022 Article: 14
Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral Simon GodsillYaman Kındap OriginalPaper Open access 29 December 2021 Article: 13
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Learning from missing data with the binary latent block model Gabriel FrischJean-Benoist LegerYves Grandvalet OriginalPaper 20 December 2021 Article: 9
A Riemannian Newton trust-region method for fitting Gaussian mixture models Lena SembachJan Pablo BurgardVolker Schulz OriginalPaper Open access 17 December 2021 Article: 8
Stochastic approximation cut algorithm for inference in modularized Bayesian models Yang LiuRobert J. B. Goudie OriginalPaper Open access 06 December 2021 Article: 7
An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests Christophe DutangQuentin Guibert OriginalPaper 11 November 2021 Article: 6
MALA with annealed proposals: a generalization of locally and globally balanced proposal distributions Gabriel Boisvert-BeaudryMylène Bédard OriginalPaper 15 November 2021 Article: 5
Updating Variational Bayes: fast sequential posterior inference Nathaniel TomasettiCatherine ForbesAnastasios Panagiotelis OriginalPaper 17 November 2021 Article: 4
Erlang mixture modeling for Poisson process intensities Hyotae KimAthanasios Kottas OriginalPaper Open access 19 November 2021 Article: 3
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Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models L. Mihaela PaunDirk Husmeier OriginalPaper Open access 23 November 2021 Article: 1