Statistics and Computing

Article	Citations
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	114
Learning from missing data with the binary latent block model	41
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	25
A framework of regularized low-rank matrix models for regression and classification	24
Model-based clustering of multiple networks with a hierarchical algorithm	21
Latent structure blockmodels for Bayesian spectral graph clustering	20
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	17
A limit formula and recursive algorithm for multivariate Normal tail probability	17
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	16
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	16
Joint latent space models for ranking data and social network	15
Automatic search intervals for the smoothing parameter in penalized splines	15
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	14
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	13
Fast Bayesian inversion for high dimensional inverse problems	13
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	12
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	12
Model-based clustering with missing not at random data	11
Parallelized integrated nested Laplace approximations for fast Bayesian inference	11
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	11
On predictive inference for intractable models via approximate Bayesian computation	11
Robust supervised learning with coordinate gradient descent	11
Variable selection using a smooth information criterion for distributional regression models	10
The clustered Mallows model	10
Probabilistic time integration for semi-explicit PDAEs	10

Subgraph nomination: query by example subgraph retrieval in networks	10
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	10
Hyperparameter optimization for randomized algorithms: a case study on random features	10
Maximum softly-penalized likelihood for mixed effects logistic regression	9
Particle gradient descent model for point process generation	9
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	9
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	9
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	9
Extended fiducial inference for individual treatment effects via deep neural networks	9
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	9
Efficient importance sampling for large sums of independent and identically distributed random variables	8
A data-adaptive method for outlier detection from functional data	8
An efficient workflow for modelling high-dimensional spatial extremes	8
Bayesian learning via neural Schrödinger–Föllmer flows	8
Classifier-dependent feature selection via greedy methods	8
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	8
An analysis of the modality and flexibility of the inverse stereographic normal distribution	7
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	7
Logit unfolding choice models for binary data	7
Penalized principal component analysis using smoothing	7
Multi-index antithetic stochastic gradient algorithm	7
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	7
Testing common degree-correction parameters of multilayer networks	7
Bayesian design for sampling anomalous spatio-temporal data	7
Semiparametric efficient estimation of genetic relatedness with machine learning methods	7
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	7
Improving power by conditioning on less in post-selection inference for changepoints	7
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	7
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	7
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	7
Variational Tobit Gaussian Process Regression	7
Erlang mixture modeling for Poisson process intensities	7
Wasserstein principal component analysis for circular measures	7
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	7
A new flexible Bayesian hypothesis test for multivariate data	6
Fused lasso nearly-isotonic signal approximation in general dimensions	6
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	6
A Joint estimation approach to sparse additive ordinary differential equations	6
Optimization of the generalized covariance estimator in noncausal processes	6
Penalized Cox’s proportional hazards model for high-dimensional survival data with grouped predictors	6
Topology-driven goodness-of-fit tests in arbitrary dimensions	6
Improving tree probability estimation with stochastic optimization and variance reduction	6
Asymptotic post-selection inference for regularized graphical models	6
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo	6
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	6
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	6
Transformation models with informative partly interval-censored data	6
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	6
Wavelet-based robust estimation and variable selection in nonparametric additive models	6
Comparing unconstrained parametrization methods for return covariance matrix prediction	6

Functional concurrent hidden Markov model	6
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	6
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model	5
Correction to: The COR criterion for optimal subset selection in distributed estimation	5
Using prior-data conflict to tune Bayesian regularized regression models	5
Variable selection using conditional AIC for linear mixed models with data-driven transformations	5
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model	5
Network-assisted Semi-supervised Logistic Regression	5
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	5
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	5
One-step closed-form estimator for generalized linear model with categorical explanatory variables	5
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	5
The stochastic proximal distance algorithm	5
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	5
Maximum likelihood estimation of the Weibull distribution with reduced bias	5
Graph-based algorithms for phase-type distributions	5
Huber-energy measure quantization	5
Independence test via mutual information in the presence of measurement errors	5
The forward–backward envelope for sampling with the overdamped Langevin algorithm	5
Uniform calibration tests for forecasting systems with small lead time	5
On the application of Gaussian graphical models to paired data problems	5
On the f-divergences between densities of a multivariate location or scale family	5
Fitting double hierarchical models with the integrated nested Laplace approximation	4
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	4
Total effects with constrained features	4
Inference issue in multiscale geographically and temporally weighted regression	4
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	4
Systemic infinitesimal over-dispersion on graphical dynamic models	4
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	4
Sequential changepoint detection in neural networks with checkpoints	4
Randomized self-updating process for clustering large-scale data	4
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	4
Variance reduction for Metropolis–Hastings samplers	4
Spectral clustering on aggregated multilayer networks with covariates	4
Data-adaptive structural change-point detection via isolation	4
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	4
Consistent causal inference from time series with PC algorithm and its time-aware extension	4
Nonconvex Dantzig selector and its parallel computing algorithm	4
Sparse estimation and inference for prediction-powered semi-supervised linear regression	4
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	4
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	4
Dynamic and robust Bayesian graphical models	4
Natural gradient hybrid variational inference with application to deep mixed models	4
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	4
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	4
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data	4
Support vector machine in big data: smoothing strategy and adaptive distributed inference	4
Shrinkage for extreme partial least-squares	4
Cauchy Markov random field priors for Bayesian inversion	4
Constrained parsimonious model-based clustering	4
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	4
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	4
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	4
Automatic Zig-Zag sampling in practice	4
Large-scale constrained Gaussian processes for shape-restricted function estimation	4
Tree-based variational inference for Poisson log-normal models	4
An expectile computation cookbook	4
Quantile regression feature selection and estimation with grouped variables using Huber approximation	4
A fast and accurate numerical method for the left tail of sums of independent random variables	4
New forest-based approaches for sufficient dimension reduction	4
Automatically adapting the number of state particles in SMC$$^2$$	4
Affine-mapping based variational ensemble Kalman filter	4
Simulation based composite likelihood	4
Fitting Matérn smoothness parameters using automatic differentiation	4
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	4
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	4
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	4
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	4
A sparse PAC-Bayesian approach for high-dimensional quantile prediction	3
Efficient Shapley performance attribution for least-squares regression	3
Statistical inference and goodness-of-fit test in functional data via error distribution function	3
High-dimensional order-free multivariate spatial disease mapping	3
Core-elements for large-scale least squares estimation	3
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	3
Feature splitting parallel algorithm for Dantzig selectors	3
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	3
A sparse matrix formulation of model-based ensemble Kalman filter	3
Density regression via Dirichlet process mixtures of normal structured additive regression models	3
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3

Structured prior distributions for the covariance matrix in latent factor models	3
A fast epigraph and hypograph-based approach for clustering functional data	3
On simulation of continuous determinantal point processes	3
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance	3
Bootstrap estimation of the proportion of outliers in robust regression	3
COMBSS: best subset selection via continuous optimization	3
Anytime parallel tempering	3
Double-loop importance sampling for McKean–Vlasov stochastic differential equation	3
Geographically weighted quantile regression for count Data	3
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	3
Ensemble slice sampling	3
Online Bayesian changepoint detection for network Poisson processes with community structure	3
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	3
The recursive variational Gaussian approximation (R-VGA)	3
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	3
Functional mixtures-of-experts	3
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models	3
Local Polynomial $$L_p$$-norm Regression	3
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data	3
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	3
Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes	3
Bayesian inference for continuous-time hidden Markov models with an unknown number of states	3
Quantile ratio regression	3
Limitations of the Wasserstein MDE for univariate data	3
Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification	3
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities	3
Sequential Bayesian Registration for Functional Data	3
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization	3
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths	3
Gradient boosting for generalised additive mixed models	3
Bayesian projection pursuit regression	3
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
Sequential model identification with reversible jump ensemble data assimilation method	3
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	3
The computational asymptotics of Gaussian variational inference and the Laplace approximation	3
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs	3
Taming numerical imprecision by adapting the KL divergence to negative probabilities	3
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	3
Novel sampling method for the von Mises–Fisher distribution	3
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood	3
Detection of spatiotemporal changepoints: a generalised additive model approach	3
Nonnegative Bayesian nonparametric factor models with completely random measures	3
Shape modeling with spline partitions	3