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Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs Yaofang HuWanjie WangYi Yu OriginalPaper Open access 11 February 2022 Article: 19
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information Francesco DentiAndrea CappozzoFrancesca Greselin Correction 10 February 2022 Article: 18
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data Corinne JonesVincent RouletZaid Harchaoui OriginalPaper 29 January 2022 Article: 17
Variance reduction for additive functionals of Markov chains via martingale representations D. BelomestnyE. MoulinesS. Samsonov OriginalPaper 27 January 2022 Article: 16
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
Product-form estimators: exploiting independence to scale up Monte Carlo Juan KuntzFrancesca R. CrucinioAdam M. Johansen OriginalPaper Open access 21 December 2021 Article: 12
Wavelet-based robust estimation and variable selection in nonparametric additive models Umberto AmatoAnestis AntoniadisIrène Gijbels OriginalPaper Open access 21 December 2021 Article: 11
The recursive variational Gaussian approximation (R-VGA) Marc LambertSilvère BonnabelFrancis Bach OriginalPaper 20 December 2021 Article: 10
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
Constrained parsimonious model-based clustering Luis A. García-EscuderoAgustín Mayo-IscarMarco Riani OriginalPaper Open access 20 November 2021 Article: 2
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
