Statistics and Computing

Article	Citations
Robust supervised learning with coordinate gradient descent	108
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	37
Learning from missing data with the binary latent block model	25
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	21
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	19
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	19
Latent structure blockmodels for Bayesian spectral graph clustering	16
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	15
A limit formula and recursive algorithm for multivariate Normal tail probability	15
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	15
Parallelized integrated nested Laplace approximations for fast Bayesian inference	14
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	14
Automatic search intervals for the smoothing parameter in penalized splines	14
A framework of regularized low-rank matrix models for regression and classification	11
Model-based clustering of multiple networks with a hierarchical algorithm	11
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	11
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	11
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	11
Fast Bayesian inversion for high dimensional inverse problems	11
Model-based clustering with missing not at random data	10
A data-adaptive method for outlier detection from functional data	10
Joint latent space models for ranking data and social network	10
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	10
Fisher Scoring for crossed factor linear mixed models	10
On predictive inference for intractable models via approximate Bayesian computation	10

Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	10
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	9
Probabilistic time integration for semi-explicit PDAEs	9
The clustered Mallows model	9
Efficient importance sampling for large sums of independent and identically distributed random variables	9
Subgraph nomination: query by example subgraph retrieval in networks	9
Maximum softly-penalized likelihood for mixed effects logistic regression	8
Hyperparameter optimization for randomized algorithms: a case study on random features	8
Particle gradient descent model for point process generation	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
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	8
Classifier-dependent feature selection via greedy methods	8
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	7
Penalized principal component analysis using smoothing	7
Testing common degree-correction parameters of multilayer networks	7
Variational Tobit Gaussian Process Regression	7
Logit unfolding choice models for binary data	7
Bayesian learning via neural Schrödinger–Föllmer flows	7
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	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
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	7
Extended fiducial inference for individual treatment effects via deep neural networks	7
Bayesian design for sampling anomalous spatio-temporal data	7
Variable selection using a smooth information criterion for distributional regression models	7
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	7
An analysis of the modality and flexibility of the inverse stereographic normal distribution	7
Improving power by conditioning on less in post-selection inference for changepoints	6
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	6
Comparing unconstrained parametrization methods for return covariance matrix prediction	6
Wavelet-based robust estimation and variable selection in nonparametric additive models	6
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	6
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	6
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	6
Huber-energy measure quantization	6
On the f-divergences between densities of a multivariate location or scale family	6
Erlang mixture modeling for Poisson process intensities	6
Optimization of the generalized covariance estimator in noncausal processes	6
Wasserstein principal component analysis for circular measures	6
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	6
Uncertainty calibration for probabilistic projection methods	6
Multi-index antithetic stochastic gradient algorithm	6
Fused lasso nearly-isotonic signal approximation in general dimensions	5
Topology-driven goodness-of-fit tests in arbitrary dimensions	5
Functional concurrent hidden Markov model	5
A Joint estimation approach to sparse additive ordinary differential equations	5
One-step closed-form estimator for generalized linear model with categorical explanatory variables	5
Maximum likelihood estimation of the Weibull distribution with reduced bias	5
Penalized Cox’s proportional hazards model for high-dimensional survival data with grouped predictors	5

Transformation models with informative partly interval-censored data	5
A new flexible Bayesian hypothesis test for multivariate data	5
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	5
Correction to: The COR criterion for optimal subset selection in distributed estimation	5
Min–max crossover designs for two treatments binary and poisson crossover trials	5
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	5
Improving tree probability estimation with stochastic optimization and variance reduction	5
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	5
On the application of Gaussian graphical models to paired data problems	5
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	5
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	5
Asymptotic post-selection inference for regularized graphical models	5
Graph-based algorithms for phase-type distributions	5
Quantile regression feature selection and estimation with grouped variables using Huber approximation	4
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence	4
Automatic Zig-Zag sampling in practice	4
New forest-based approaches for sufficient dimension reduction	4
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	4
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	4
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	4
Fitting double hierarchical models with the integrated nested Laplace approximation	4
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	4
Uniform calibration tests for forecasting systems with small lead time	4
Nonconvex Dantzig selector and its parallel computing algorithm	4
Simulation based composite likelihood	4
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	4
Constrained parsimonious model-based clustering	4
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	4
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	4
Variance reduction for Metropolis–Hastings samplers	4
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data	4
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	4
Shrinkage for extreme partial least-squares	4
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	4
The forward–backward envelope for sampling with the overdamped Langevin algorithm	4
Consistent causal inference from time series with PC algorithm and its time-aware extension	4
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model	4
Sequential changepoint detection in neural networks with checkpoints	4
Limitations of the Wasserstein MDE for univariate data	4
Independence test via mutual information in the presence of measurement errors	4
Large-scale constrained Gaussian processes for shape-restricted function estimation	4
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	4
Systemic infinitesimal over-dispersion on graphical dynamic models	4
Cauchy Markov random field priors for Bayesian inversion	4
Affine-mapping based variational ensemble Kalman filter	4
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	4
Support vector machine in big data: smoothing strategy and adaptive distributed inference	4
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	4
Variable selection using conditional AIC for linear mixed models with data-driven transformations	4
The stochastic proximal distance algorithm	4
Using prior-data conflict to tune Bayesian regularized regression models	4
Fitting Matérn smoothness parameters using automatic differentiation	4
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	4
Inference issue in multiscale geographically and temporally weighted regression	3
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	3
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	3
Functional mixtures-of-experts	3
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	3
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	3
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs	3
Sequential Bayesian Registration for Functional Data	3
Geographically weighted quantile regression for count Data	3
A sparse PAC-Bayesian approach for high-dimensional quantile prediction	3
High-dimensional order-free multivariate spatial disease mapping	3
A fast epigraph and hypograph-based approach for clustering functional data	3
Core-elements for large-scale least squares estimation	3
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance	3
A sparse matrix formulation of model-based ensemble Kalman filter	3
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	3
Local Polynomial $$L_p$$-norm Regression	3
Dynamic and robust Bayesian graphical models	3
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	3
Natural gradient hybrid variational inference with application to deep mixed models	3
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	3
An expectile computation cookbook	3
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	3
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization	3
Statistical inference and goodness-of-fit test in functional data via error distribution function	3
Gradient boosting for generalised additive mixed models	3

The computational asymptotics of Gaussian variational inference and the Laplace approximation	3
Bayesian inference for continuous-time hidden Markov models with an unknown number of states	3
Bayesian projection pursuit regression	3
Total effects with constrained features	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3
COMBSS: best subset selection via continuous optimization	3
Online Bayesian changepoint detection for network Poisson processes with community structure	3
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	3
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood	3
A fast and accurate numerical method for the left tail of sums of independent random variables	3
Automatically adapting the number of state particles in SMC$$^2$$	3
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	3
Sequential model identification with reversible jump ensemble data assimilation method	3
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	3
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities	3
The recursive variational Gaussian approximation (R-VGA)	3
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics	3
Randomized self-updating process for clustering large-scale data	3
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	3
Nonnegative Bayesian nonparametric factor models with completely random measures	3
Density regression via Dirichlet process mixtures of normal structured additive regression models	3
Efficient and generalizable tuning strategies for stochastic gradient MCMC	2
Robust approach for comparing two dependent normal populations through Wald-type tests based on Rényi’s pseudodistance estimators	2
Split Hamiltonian Monte Carlo revisited	2
Variational inference for Bayesian bridge regression	2
Efficient modeling of quasi-periodic data with seasonal Gaussian process	2
General Jackknife empirical likelihood and its applications	2
An improved bisection-type algorithm for control chart calibration	2
A numerically stable algorithm for integrating Bayesian models using Markov melding	2
Learning binary undirected graph in low dimensional regime	2
Likelihood-free inference in state-space models with unknown dynamics	2
Fast and universal estimation of latent variable models using extended variational approximations	2
Double-loop importance sampling for McKean–Vlasov stochastic differential equation	2
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series	2
Shape modeling with spline partitions	2
Insufficient Gibbs sampling	2
Sparse and debiased Lasso estimation and statistical inference for long time series via divide-and-conquer	2
Novel sampling method for the von Mises–Fisher distribution	2
Numerical Generalized Randomized HMC processes for restricted domains	2
Structured prior distributions for the covariance matrix in latent factor models	2
A robust quantile regression for bounded variables based on the Kumaraswamy Rectangular distribution	2
Explainable generalized additive neural networks with independent neural network training	2
On simulation of continuous determinantal point processes	2
High-dimensional regression with potential prior information on variable importance	2
Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison	2
Prediction scoring of data-driven discoveries for reproducible research	2
On the optimality of the Oja’s algorithm for online PCA	2
Group sparse structural smoothing recovery: model, statistical properties and algorithm	2
Scalable computations for nonstationary Gaussian processes	2
Penalized model-based clustering of complex functional data	2
Model-free global likelihood subsampling for massive data	2
Entropic herding	2
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks	2
Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes	2
Expectile and M-quantile regression for panel data	2
Ensemble slice sampling	2
Estimating the number of true null hypotheses based on change point of observed p values	2
Bootstrap estimation of the proportion of outliers in robust regression	2
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy	2
A general model-checking procedure for semiparametric accelerated failure time models	2
Online structural break detection in financial durations	2
Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data	2
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data	2
Generalized spherical principal component analysis	2
Fast generation of exchangeable sequences of clusters data	2
Taming numerical imprecision by adapting the KL divergence to negative probabilities	2
Online prediction of extreme conditional quantiles via B-spline interpolation	2
Estimation of a likelihood ratio ordered family of distributions	2
Adaptive sufficient sparse clustering by controlling false discovery	2
$$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMC	2
Fuzzy clustering with Barber modularity regularization	2
False discovery rate envelopes	2
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions	2
Trans-cGAN: transformer-Unet-based generative adversarial networks for cross-modality magnetic resonance image synthesis	2
Automatic model training under restrictive time constraints	2
Lévy Langevin Monte Carlo	2
Correction to: Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm	2
Optimal design of multifactor experiments via grid exploration	2
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models	2
Functional autoencoder for smoothing and representation learning	2
Efficient Shapley performance attribution for least-squares regression	2
Penalized quadratic inference functions estimation for fixed effects partially linear single index spatial error model	2
Anytime parallel tempering	2
Density deconvolution under a k-monotonicity constraint	2
Frequentist model averaging under a linear exponential loss	2
Quantile ratio regression	2
On proportional volume sampling for experimental design in general spaces	2
IDGM: an approach to estimate the graphical model of interval-valued data	2
A comparison of likelihood-free methods with and without summary statistics	2
A Bayesian parametrized method for interval-valued regression models	2
Detection of spatiotemporal changepoints: a generalised additive model approach	2
Multilevel estimation of normalization constants using ensemble Kalman–Bucy filters	2
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors	2
Adaptive online variance estimation in particle filters: the ALVar estimator	2