Statistics and Computing

Article	Citations
Latent structure blockmodels for Bayesian spectral graph clustering	79
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	24
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	21
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	17
Exact gradient evaluation for adaptive quadrature approximate marginal likelihood in mixed models for grouped data	16
A limit formula and recursive algorithm for multivariate Normal tail probability	15
A parameter estimation method for multivariate binned Hawkes processes	14
Improving bridge estimators via f-GAN	14
Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods	14
Exact simulation of normal tempered stable processes of OU type with applications	13
A limit formula and a series expansion for the bivariate Normal tail probability	13
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	13
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	13
Dynamic and robust Bayesian graphical models	12
Split Hamiltonian Monte Carlo revisited	11
Automatic search intervals for the smoothing parameter in penalized splines	11
Optimal designs for dose-escalation trials and individual allocations in cohorts	11
Robust supervised learning with coordinate gradient descent	10
Adaptive online variance estimation in particle filters: the ALVar estimator	10
Wavelet Monte Carlo: a principle for sampling from complex distributions	10
Limitations of the Wasserstein MDE for univariate data	10
Automatically adapting the number of state particles in SMC$$^2$$	10
Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-Blackwellized SMC samplers	10
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	9
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	8

Efficient estimation and correction of selection-induced bias with order statistics	8
Recursive inversion models for permutations	8
Group sparse structural smoothing recovery: model, statistical properties and algorithm	8
$$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMC	8
Multilevel estimation of normalization constants using ensemble Kalman–Bucy filters	8
Insufficient Gibbs sampling	8
Partial replacement imputation estimation for partially linear models with complex missing pattern covariates	8
Bootstrapping multiple systems estimates to account for model selection	8
Randomized self-updating process for clustering large-scale data	7
A fast epigraph and hypograph-based approach for clustering functional data	7
Fast Bayesian inversion for high dimensional inverse problems	7
Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks	7
High-dimensional regression with potential prior information on variable importance	7
ECOPICA: empirical copula-based independent component analysis	7
A 4D-Var method with flow-dependent background covariances for the shallow-water equations	7
An expectile computation cookbook	7
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	7
Online estimation and community detection of network point processes for event streams	7
Identifiability of discrete input–output hidden Markov models with external signals	7
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy	7
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	7
False discovery rate envelopes	7
Quantile generalized measures of correlation	6
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	6
A framework of regularized low-rank matrix models for regression and classification	6
Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation	6
Kent feature embedding for classification of compositional data with zeros	6
A point mass proposal method for Bayesian state-space model fitting	6
Efficient and accurate inference for mixtures of Mallows models with Spearman distance	6
Total effects with constrained features	6
Ensemble sampler for infinite-dimensional inverse problems	6
Model-based clustering of multiple networks with a hierarchical algorithm	6
Empirical likelihood and estimation in single-index varying-coefficient models with censored data	6
Bayesian additive regression trees with model trees	5
Improved inference for areal unit count data using graph-based optimisation	5
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming	5
Parallelized integrated nested Laplace approximations for fast Bayesian inference	5
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes	5
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	5
Data fusion using factor analysis and low-rank matrix completion	5
Sequential sampling of junction trees for decomposable graphs	5
A simple method for rejection sampling efficiency improvement on SIMT architectures	5
Consistency factor for the MCD estimator at the Student-t distribution	5
A random persistence diagram generator	5
Bayesian hierarchical models incorporating measurement error for interrupted time series design	5
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	5
The recursive variational Gaussian approximation (R-VGA)	5
Convergence rate of multiple-try Metropolis independent sampler	4
Variable selection using axis-aligned random projections for partial least-squares regression	4
Fisher Scoring for crossed factor linear mixed models	4

State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	4
COMBSS: best subset selection via continuous optimization	4
A finite mixture model for multiple dependent competing risks with applications of automotive warranty claims data	4
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	4
Joint latent space models for ranking data and social network	4
Scalable computations for nonstationary Gaussian processes	4
Efficient and generalizable tuning strategies for stochastic gradient MCMC	4
Distributed statistical optimization for non-randomly stored big data with application to penalized learning	4
Variational Bayes on manifolds	4
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	4
Improvements on scalable stochastic Bayesian inference methods for multivariate Hawkes process	4
Hidden Markov models for multivariate panel data	4
Learning from missing data with the binary latent block model	4
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering	4
Representation and simulation of multivariate Dickman distributions and Vervaat perpetuities	4
Optimal representative sample weighting	4
Model-based clustering with missing not at random data	3
Scale mixtures of multivariate centered skew-normal distributions	3
Direct sampling with a step function	3
Fast and universal estimation of latent variable models using extended variational approximations	3
On predictive inference for intractable models via approximate Bayesian computation	3
Nonnegative Bayesian nonparametric factor models with completely random measures	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3
Lévy Langevin Monte Carlo	3
Large-scale correlation screening under dependence for brain functional connectivity network inference	3
A Metropolis-class sampler for targets with non-convex support	3
Model-free global likelihood subsampling for massive data	3
On the performance of particle filters with adaptive number of particles	3
Inference issue in multiscale geographically and temporally weighted regression	3
Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior	3
Online prediction of extreme conditional quantiles via B-spline interpolation	3
High-dimensional local polynomial regression with variable selection and dimension reduction	3
Generalised likelihood profiles for models with intractable likelihoods	3
Parallelizing MCMC sampling via space partitioning	3
Maximum likelihood estimation of the Fisher–Bingham distribution via efficient calculation of its normalizing constant	3
Modeling volatility for high-frequency data with rounding error: a nonparametric Bayesian approach	3
Functional mixtures-of-experts	3
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	3
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference	3
Subgraph nomination: query by example subgraph retrieval in networks	3
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
A two-stage Bayesian semiparametric model for novelty detection with robust prior information	3
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks	3
Constrained least squares simplicial-simplicial regression	3
Moments and random number generation for the truncated elliptical family of distributions	3
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood	3
A wavelet-based approach for imputation in nonstationary multivariate time series	3
Detecting conflicting summary statistics in likelihood-free inference	3
A data-adaptive method for outlier detection from functional data	3
A fast and accurate numerical method for the left tail of sums of independent random variables	3
euMMD: efficiently computing the MMD two-sample test statistic for univariate data	3
Density deconvolution under a k-monotonicity constraint	3
Bayesian inference for continuous-time hidden Markov models with an unknown number of states	3
Natural gradient hybrid variational inference with application to deep mixed models	3
The clustered Mallows model	2
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	2
A sparse matrix formulation of model-based ensemble Kalman filter	2
A robust and efficient algorithm to find profile likelihood confidence intervals	2
Trans-cGAN: transformer-Unet-based generative adversarial networks for cross-modality magnetic resonance image synthesis	2
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs	2
Spline estimation of functional principal components via manifold conjugate gradient algorithm	2
Latent uniform samplers on multivariate binary spaces	2
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks	2
A reliable data-based smoothing parameter selection method for circular kernel estimation	2
Distributed hypothesis testing for large dimensional two-sample mean vectors	2
An efficient workflow for modelling high-dimensional spatial extremes	2
Efficient modeling of quasi-periodic data with seasonal Gaussian process	2
Functional autoencoder for smoothing and representation learning	2
Particle gradient descent model for point process generation	2
Stab-GKnock: controlled variable selection for partially linear models using generalized knockoffs	2
Detecting and diagnosing prior and likelihood sensitivity with power-scaling	2
Accelerating Bayesian inference for stochastic epidemic models using incidence data	2
Multi-index antithetic stochastic gradient algorithm	2
Probabilistic time integration for semi-explicit PDAEs	2
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	2
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models	2
Gaussian process learning via Fisher scoring of Vecchia’s approximation	2
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	2
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	2
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance	2

Classifier-dependent feature selection via greedy methods	2
MALA with annealed proposals: a generalization of locally and globally balanced proposal distributions	2
Maximum softly-penalized likelihood for mixed effects logistic regression	2
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series	2
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	2
Tuning diagonal scale matrices for HMC	2
A Mallows-type model averaging estimator for ridge regression with randomly right censored data	2
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	2
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	2
Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms	2
Accelerated failure time models with error-prone response and nonlinear covariates	2
Shrinkage priors via random imaginary data	2
Consistent online Gaussian process regression without the sample complexity bottleneck	2
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities	2
Random perturbation subsampling for rank regression with massive data	2
Estimating a signal subspace in the presence of impulsive noise	2
On the identifiability of Bayesian factor analytic models	2
Rate-optimal refinement strategies for local approximation MCMC	2
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	2
Efficient importance sampling for large sums of independent and identically distributed random variables	2
Bayesian learning via neural Schrödinger–Föllmer flows	2
Embedded topics in the stochastic block model	2
On automatic bias reduction for extreme expectile estimation	2
Expectile and M-quantile regression for panel data	2
Sequential model identification with reversible jump ensemble data assimilation method	2
Control variate selection for Monte Carlo integration	2
Bayesian spatiotemporal modeling for inverse problems	2
Variable selection using a smooth information criterion for distributional regression models	2
Use generalized linear models or generalized partially linear models?	2
The polytope of optimal approximate designs: extending the selection of informative experiments	2
Type I Tobit Bayesian Additive Regression Trees for censored outcome regression	2
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference	2
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics	2
Learning binary undirected graph in low dimensional regime	2
A joint latent factor analyzer and functional subspace model for clustering multivariate functional data	1
Bayesian parameter inference for partially observed stochastic volterra equations	1
A framework for mediation analysis with massive data	1
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	1
A similarity-based Bayesian mixture-of-experts model	1
A Riemannian Newton trust-region method for fitting Gaussian mixture models	1
Deep state-space Gaussian processes	1
Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes	1
Global–local shrinkage multivariate logit-beta priors for multiple response-type data	1
Systematic enumeration of definitive screening designs	1
Conditional particle filters with diffuse initial distributions	1
A branch-and-bound algorithm for the exact optimal experimental design problem	1
Changepoint detection in non-exchangeable data	1
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	1
Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates	1
Statistical inference and goodness-of-fit test in functional data via error distribution function	1
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	1
Geographically weighted quantile regression for count Data	1
Continuity approximation in hybrid Bayesian networks structure learning	1
Logit unfolding choice models for binary data	1
A data-adaptive dimension reduction for functional data via penalized low-rank approximation	1
A new flexible Bayesian hypothesis test for multivariate data	1
Enmsp: an elastic-net multi-step screening procedure for high-dimensional regression	1
A stochastic approximation ECME algorithm to semi-parametric scale mixtures of centred skew normal regression models	1
Identifiability and parameter estimation of the overlapped stochastic co-block model	1
Reversed particle filtering for hidden markov models	1
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences	1
Doubly robust estimation and robust empirical likelihood in generalized linear models with missing responses	1
Quantifying uncertainty with a derivative tracking SDE model and application to wind power forecast data	1
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	1
Generating directed networks with predetermined assortativity measures	1
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	1
Robust score matching for compositional data	1
A quadratic upper bound algorithm for regression analysis of credit risk under the proportional hazards model with case-cohort data	1
Correction to: Explainable generalized additive neural networks with independent neural network training	1
Ensemble slice sampling	1
Testing common degree-correction parameters of multilayer networks	1
Cauchy robust principal component analysis with applications to high-dimensional data sets	1
Empirical investigations of boosting with pseudo-outcome imputation for missing responses	1
Adaptation of the tuning parameter in general Bayesian inference with robust divergence	1
Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes	1
Modern non-linear function-on-function regression	1
Novel sampling method for the von Mises–Fisher distribution	1
New mixed portmanteau tests for time series models	1
Maximum likelihood estimation of the Weibull distribution with reduced bias	1
Wasserstein principal component analysis for circular measures	1
Stochastic three-term conjugate gradient method with variance technique for non-convex learning	1
Generalized parallel tempering on Bayesian inverse problems	1
The computational asymptotics of Gaussian variational inference and the Laplace approximation	1
Optimal experimental design for linear time invariant state–space models	1
Accelerating the estimation of renewal Hawkes self-exciting point processes	1
Approximate blocked Gibbs sampling for Bayesian neural networks	1
Detecting renewal states in chains of variable length via intrinsic Bayes factors	1
Correction to: Finite mixtures of quantile and M-quantile regression models	1
High-dimensional order-free multivariate spatial disease mapping	1
An analysis of the modality and flexibility of the inverse stereographic normal distribution	1
Core-elements for large-scale least squares estimation	1
Improving power by conditioning on less in post-selection inference for changepoints	1
Distributed additive hazards regression analysis of multi-site current status data without using individual-level data	1
The sparse dynamic factor model: a regularised quasi-maximum likelihood approach	1
A SUR version of the Bichon criterion for excursion set estimation	1