Statistics and Computing

Article	Citations
Robust supervised learning with coordinate gradient descent	104
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	36
Learning from missing data with the binary latent block model	23
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	20
Model-based clustering with missing not at random data	18
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	17
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	17
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	16
Latent structure blockmodels for Bayesian spectral graph clustering	15
A limit formula and recursive algorithm for multivariate Normal tail probability	14
Parallelized integrated nested Laplace approximations for fast Bayesian inference	14
Joint latent space models for ranking data and social network	14
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	14
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	14
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	11
Model-based clustering of multiple networks with a hierarchical algorithm	11
Automatic search intervals for the smoothing parameter in penalized splines	11
A framework of regularized low-rank matrix models for regression and classification	11
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	10
On predictive inference for intractable models via approximate Bayesian computation	10
Fast Bayesian inversion for high dimensional inverse problems	10
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	10
Fisher Scoring for crossed factor linear mixed models	10
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	10
A data-adaptive method for outlier detection from functional data	9

Classifier-dependent feature selection via greedy methods	9
Variable selection using a smooth information criterion for distributional regression models	9
Probabilistic time integration for semi-explicit PDAEs	8
The clustered Mallows model	8
Particle gradient descent model for point process generation	8
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	8
Efficient importance sampling for large sums of independent and identically distributed random variables	8
Bayesian learning via neural Schrödinger–Föllmer flows	8
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	8
Subgraph nomination: query by example subgraph retrieval in networks	8
An efficient workflow for modelling high-dimensional spatial extremes	8
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	8
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	7
Testing common degree-correction parameters of multilayer networks	7
Variational Tobit Gaussian Process Regression	7
Logit unfolding choice models for binary data	7
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	7
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	7
An analysis of the modality and flexibility of the inverse stereographic normal distribution	7
Erlang mixture modeling for Poisson process intensities	7
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	7
Hyperparameter optimization for randomized algorithms: a case study on random features	7
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	7
Maximum softly-penalized likelihood for mixed effects logistic regression	7
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	7
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	7
Penalized principal component analysis using smoothing	6
Optimization of the generalized covariance estimator in noncausal processes	6
Bayesian design for sampling anomalous spatio-temporal data	6
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	6
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	6
Multi-index antithetic stochastic gradient algorithm	6
Wasserstein principal component analysis for circular measures	6
Semiparametric efficient estimation of genetic relatedness with machine learning methods	6
Maximum likelihood estimation of the Weibull distribution with reduced bias	6
Comparing unconstrained parametrization methods for return covariance matrix prediction	6
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	6
Improving power by conditioning on less in post-selection inference for changepoints	6
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	6
Huber-energy measure quantization	6
On the f-divergences between densities of a multivariate location or scale family	6
Graph-based algorithms for phase-type distributions	5
Transformation models with informative partly interval-censored data	5
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	5
Min–max crossover designs for two treatments binary and poisson crossover trials	5
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	5
Uncertainty calibration for probabilistic projection methods	5
Topology-driven goodness-of-fit tests in arbitrary dimensions	5
Fused lasso nearly-isotonic signal approximation in general dimensions	5
One-step closed-form estimator for generalized linear model with categorical explanatory variables	5

A Joint estimation approach to sparse additive ordinary differential equations	5
On the application of Gaussian graphical models to paired data problems	5
Wavelet-based robust estimation and variable selection in nonparametric additive models	5
A new flexible Bayesian hypothesis test for multivariate data	5
Functional concurrent hidden Markov model	5
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	5
Independence test via mutual information in the presence of measurement errors	5
Improving tree probability estimation with stochastic optimization and variance reduction	5
Asymptotic post-selection inference for regularized graphical models	5
Penalized Cox’s proportional hazards model for high-dimensional survival data with grouped predictors	5
The stochastic proximal distance algorithm	4
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	4
Fitting Matérn smoothness parameters using automatic differentiation	4
Constrained parsimonious model-based clustering	4
Shrinkage for extreme partial least-squares	4
Simulation based composite likelihood	4
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	4
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	4
Variable selection using conditional AIC for linear mixed models with data-driven transformations	4
Correction to: The COR criterion for optimal subset selection in distributed estimation	4
Nonconvex Dantzig selector and its parallel computing algorithm	4
Uniform calibration tests for forecasting systems with small lead time	4
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model	4
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	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
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	4
The forward–backward envelope for sampling with the overdamped Langevin algorithm	4
Using prior-data conflict to tune Bayesian regularized regression models	4
Consistent causal inference from time series with PC algorithm and its time-aware extension	4
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	4
Automatic Zig-Zag sampling in practice	4
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data	4
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	4
Affine-mapping based variational ensemble Kalman filter	4
Variance reduction for Metropolis–Hastings samplers	4
Cauchy Markov random field priors for Bayesian inversion	4
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	4
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	4
The computational asymptotics of Gaussian variational inference and the Laplace approximation	3
Core-elements for large-scale least squares estimation	3
Automatically adapting the number of state particles in SMC$$^2$$	3
Online Bayesian changepoint detection for network Poisson processes with community structure	3
COMBSS: best subset selection via continuous optimization	3
Density regression via Dirichlet process mixtures of normal structured additive regression models	3
Dynamic and robust Bayesian graphical models	3
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	3
Bayesian inference for continuous-time hidden Markov models with an unknown number of states	3
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	3
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs	3
Large-scale constrained Gaussian processes for shape-restricted function estimation	3
Sequential model identification with reversible jump ensemble data assimilation method	3
Systemic infinitesimal over-dispersion on graphical dynamic models	3
Randomized self-updating process for clustering large-scale data	3
Inference issue in multiscale geographically and temporally weighted regression	3
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics	3
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	3
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	3
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
A fast and accurate numerical method for the left tail of sums of independent random variables	3
The recursive variational Gaussian approximation (R-VGA)	3
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	3
Natural gradient hybrid variational inference with application to deep mixed models	3
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	3
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	3
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance	3
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	3
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	3
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence	3
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	3
New forest-based approaches for sufficient dimension reduction	3
A fast epigraph and hypograph-based approach for clustering functional data	3
Gradient boosting for generalised additive mixed models	3
Optimal experimental design for linear time invariant state–space models	3
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	3
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	3
Functional mixtures-of-experts	3
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	3

PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
A sparse matrix formulation of model-based ensemble Kalman filter	3
Total effects with constrained features	3
Nonnegative Bayesian nonparametric factor models with completely random measures	3
Limitations of the Wasserstein MDE for univariate data	3
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood	3
Quantile regression feature selection and estimation with grouped variables using Huber approximation	3
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	3
Fitting double hierarchical models with the integrated nested Laplace approximation	3
Sequential changepoint detection in neural networks with checkpoints	3
An expectile computation cookbook	3