Statistics and Computing

Article	Citations
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	115
Learning from missing data with the binary latent block model	29
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	24
A framework of regularized low-rank matrix models for regression and classification	21
Model-based clustering of multiple networks with a hierarchical algorithm	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	16
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	16
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	16
Automatic search intervals for the smoothing parameter in penalized splines	15
Fast Bayesian inversion for high dimensional inverse problems	14
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	14
Joint latent space models for ranking data and social network	14
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	13
Model-based clustering with missing not at random data	12
Robust supervised learning with coordinate gradient descent	12
Parallelized integrated nested Laplace approximations for fast Bayesian inference	11
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	11
On predictive inference for intractable models via approximate Bayesian computation	11
Latent structure blockmodels for Bayesian spectral graph clustering	11
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	11
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	11
Variable selection using a smooth information criterion for distributional regression models	10
Probabilistic time integration for semi-explicit PDAEs	10
Hyperparameter optimization for randomized algorithms: a case study on random features	10

Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	10
Particle gradient descent model for point process generation	9
Maximum softly-penalized likelihood for mixed effects logistic regression	9
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	9
Subgraph nomination: query by example subgraph retrieval in networks	9
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	9
Extended fiducial inference for individual treatment effects via deep neural networks	9
The clustered Mallows model	9
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	9
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	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
Classifier-dependent feature selection via greedy methods	8
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	8
Bayesian learning via neural Schrödinger–Föllmer flows	8
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	8
Logit unfolding choice models for binary data	7
Erlang mixture modeling for Poisson process intensities	7
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	7
Penalized principal component analysis using smoothing	7
Testing common degree-correction parameters of multilayer networks	7
Variational Tobit Gaussian Process Regression	7
Multi-index antithetic stochastic gradient algorithm	7
Wasserstein principal component analysis for circular measures	7
Semiparametric efficient estimation of genetic relatedness with machine learning methods	7
An analysis of the modality and flexibility of the inverse stereographic normal distribution	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
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	7
Bayesian design for sampling anomalous spatio-temporal data	7
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	7
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	6
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	6
Tests for simultaneous ordered alternatives in a two-way ANOVA with interaction	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
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	6
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	6
Functional concurrent hidden Markov model	6
Improving tree probability estimation with stochastic optimization and variance reduction	6
Topology-driven goodness-of-fit tests in arbitrary dimensions	6
Penalized Cox’s proportional hazards model for high-dimensional survival data with grouped predictors	6
Optimization of the generalized covariance estimator in noncausal processes	6
A new flexible Bayesian hypothesis test for multivariate data	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
One-step closed-form estimator for generalized linear model with categorical explanatory variables	5
On the application of Gaussian graphical models to paired data problems	5
The forward–backward envelope for sampling with the overdamped Langevin algorithm	5

Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	5
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	5
Comparing unconstrained parametrization methods for return covariance matrix prediction	5
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	5
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo	5
Bias-enhanced support detection and root finding approach	5
Graph-based algorithms for phase-type distributions	5
Wavelet-based robust estimation and variable selection in nonparametric additive models	5
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	5
The stochastic proximal distance algorithm	5
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model	5
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model	5
Asymptotic post-selection inference for regularized graphical models	5
Network-assisted Semi-supervised Logistic Regression	5
A Joint estimation approach to sparse additive ordinary differential equations	5
Huber-energy measure quantization	5
Using prior-data conflict to tune Bayesian regularized regression models	5
Uniform calibration tests for forecasting systems with small lead time	5
Correction to: The COR criterion for optimal subset selection in distributed estimation	5
Maximum likelihood estimation of the Weibull distribution with reduced bias	5
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	5
On the f-divergences between densities of a multivariate location or scale family	5
Spectral clustering on aggregated multilayer networks with covariates	4
An expectile computation cookbook	4
Variable selection using conditional AIC for linear mixed models with data-driven transformations	4
Gradient boosting for generalised additive mixed models	4
Affine-mapping based variational ensemble Kalman filter	4
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	4
New forest-based approaches for sufficient dimension reduction	4
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	4
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	4
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	4
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	4
Randomized self-updating process for clustering large-scale data	4
Independence test via mutual information in the presence of measurement errors	4
Constrained parsimonious model-based clustering	4
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	4
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	4
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	4
Data-adaptive structural change-point detection via isolation	4
Fitting Matérn smoothness parameters using automatic differentiation	4
A fast epigraph and hypograph-based approach for clustering functional data	4
Shrinkage for extreme partial least-squares	4
COMBSS: best subset selection via continuous optimization	4
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data	4
Inference issue in multiscale geographically and temporally weighted regression	4
Systemic infinitesimal over-dispersion on graphical dynamic models	4
Natural gradient hybrid variational inference with application to deep mixed models	4
Sequential changepoint detection in neural networks with checkpoints	4
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	4
Sparse estimation and inference for prediction-powered semi-supervised linear regression	4
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	4
Cauchy Markov random field priors for Bayesian inversion	4
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	4
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	4
A fast and accurate numerical method for the left tail of sums of independent random variables	4
Quantile regression feature selection and estimation with grouped variables using Huber approximation	4
Exact computation of angular halfspace depth	4
The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks	4
Nonconvex Dantzig selector and its parallel computing algorithm	4
Limitations of the Wasserstein MDE for univariate data	4
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	4
Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm	4
Fitting double hierarchical models with the integrated nested Laplace approximation	4
Dynamic and robust Bayesian graphical models	4
Large-scale constrained Gaussian processes for shape-restricted function estimation	4
Total effects with constrained features	4
Variance reduction for Metropolis–Hastings samplers	4
Automatically adapting the number of state particles in SMC$$^2$$	4
Simulation based composite likelihood	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
Support vector machine in big data: smoothing strategy and adaptive distributed inference	4
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	4
Automatic Zig-Zag sampling in practice	4
Sequential Bayesian Registration for Functional Data	3
Local Polynomial $$L_p$$-norm Regression	3
High-dimensional order-free multivariate spatial disease mapping	3
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	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
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	3
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics	3
Sequential model identification with reversible jump ensemble data assimilation method	3
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance	3
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data	3
Tree-based variational inference for Poisson log-normal models	3
Detection of spatiotemporal changepoints: a generalised additive model approach	3
Anytime parallel tempering	3
Geographically weighted quantile regression for count Data	3
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization	3
Functional mixtures-of-experts	3
Statistical inference and goodness-of-fit test in functional data via error distribution function	3
Efficient Shapley performance attribution for least-squares regression	3
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	3
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs	3
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths	3
Online Bayesian changepoint detection for network Poisson processes with community structure	3
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	3
Taming numerical imprecision by adapting the KL divergence to negative probabilities	3
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	3
A sparse PAC-Bayesian approach for high-dimensional quantile prediction	3
Novel sampling method for the von Mises–Fisher distribution	3
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	3
Bootstrap estimation of the proportion of outliers in robust regression	3
Double-loop importance sampling for McKean–Vlasov stochastic differential equation	3
Core-elements for large-scale least squares estimation	3
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	3
Density regression via Dirichlet process mixtures of normal structured additive regression models	3
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities	3
Improving the prediction accuracy of statistical models: A new hierarchical clustering approach	3
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	3
Feature splitting parallel algorithm for Dantzig selectors	3
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
The computational asymptotics of Gaussian variational inference and the Laplace approximation	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood	3
Structured prior distributions for the covariance matrix in latent factor models	3
The recursive variational Gaussian approximation (R-VGA)	3
Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes	3
Shape modeling with spline partitions	3
On simulation of continuous determinantal point processes	3
Bayesian projection pursuit regression	3