Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions Philip GreengardMichael O’Neil OriginalPaper 11 October 2022 Article: 94
Density deconvolution under a k-monotonicity constraint Chew-Seng CheeByungtae Seo OriginalPaper 10 October 2022 Article: 93
Optimal designs for dose-escalation trials and individual allocations in cohorts Belmiro P. M. DuarteAnthony C. AtkinsonNuno M. C. Oliveira OriginalPaper 10 October 2022 Article: 92
Generating directed networks with predetermined assortativity measures Tiandong WangJun YanPanpan Zhang OriginalPaper 10 October 2022 Article: 91
Comparing unconstrained parametrization methods for return covariance matrix prediction Andrea BucciLuigi IppolitiPasquale Valentini OriginalPaper Open access 09 October 2022 Article: 90
Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response Alex Stringer Original Paper 07 October 2022 Article: 89
A random persistence diagram generator Theodore PapamarkouFarzana NasrinVasileios Maroulas OriginalPaper 07 October 2022 Article: 88
Proximal nested sampling for high-dimensional Bayesian model selection Xiaohao CaiJason D. McEwenMarcelo Pereyra OriginalPaper Open access 05 October 2022 Article: 87
Split Hamiltonian Monte Carlo revisited Fernando CasasJesús María Sanz-SernaLuke Shaw OriginalPaper Open access 05 October 2022 Article: 86
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors Florence ForbesHien Duy NguyenJulyan Arbel OriginalPaper 01 October 2022 Article: 85
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection Xitong LiangSamuel LivingstoneJim Griffin OriginalPaper Open access 30 September 2022 Article: 84
Spatially relaxed inference on high-dimensional linear models Jérôme-Alexis ChevalierTuan-Binh NguyenJoseph Salmon OriginalPaper 30 September 2022 Article: 83
Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models Yiolanda EnglezouTimothy W. WaiteDavid C. Woods OriginalPaper Open access 30 September 2022 Article: 82
Exact simulation of normal tempered stable processes of OU type with applications Piergiacomo Sabino OriginalPaper Open access 27 September 2022 Article: 81
Sequential sampling of junction trees for decomposable graphs Jimmy OlssonTatjana PavlenkoFelix L. Rios OriginalPaper Open access 19 September 2022 Article: 80
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series Alexandre ConstantinMathieu FauvelStéphane Girard OriginalPaper 19 September 2022 Article: 79
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics Benjamin J. ZhangYoussef M. MarzoukKonstantinos Spiliopoulos OriginalPaper Open access 19 September 2022 Article: 78
Achieving fairness with a simple ridge penalty Marco ScutariFrancesca PaneroManuel Proissl OriginalPaper Open access 18 September 2022 Article: 77
Default risk prediction and feature extraction using a penalized deep neural network Cunjie LinNan QiaoShuangge Ma OriginalPaper 15 September 2022 Article: 76
Quantile regression feature selection and estimation with grouped variables using Huber approximation Ben SherwoodShaobo Li OriginalPaper 11 September 2022 Article: 75
Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods Suman MajumderYawen GuanArvind K. Saibaba OriginalPaper 08 September 2022 Article: 74
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes Isa MarquesThomas KneibNadja Klein OriginalPaper Open access 03 September 2022 Article: 73
Improving bridge estimators via f-GAN Hanwen Xing OriginalPaper Open access 03 September 2022 Article: 72
Convergence rate bounds for iterative random functions using one-shot coupling Sabrina SixtaJeffrey S. Rosenthal OriginalPaper 02 September 2022 Article: 71
Variational inference and sparsity in high-dimensional deep Gaussian mixture models Lucas KockNadja KleinDavid J. Nott OriginalPaper Open access 01 September 2022 Article: 70
A Joint estimation approach to sparse additive ordinary differential equations Nan ZhangMuye NanshanJiguo Cao OriginalPaper 23 August 2022 Article: 69
A joint latent factor analyzer and functional subspace model for clustering multivariate functional data Alex SharpRyan Browne OriginalPaper 20 August 2022 Article: 68
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities Frank RotirotiStephen G. Walker OriginalPaper 16 August 2022 Article: 67
Statistic selection and MCMC for differentially private Bayesian estimation Barış AlparslanSinan Yıldırım OriginalPaper 16 August 2022 Article: 66
