Statistics and Computing

Article	Citations
Learning from missing data with the binary latent block model	33
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	27
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	21
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	21
A limit formula and recursive algorithm for multivariate Normal tail probability	21
Model-based clustering of multiple networks with a hierarchical algorithm	19
A framework of regularized low-rank matrix models for regression and classification	19
Model-based clustering with missing not at random data	18
Joint latent space models for ranking data and social network	16
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	15
Robust supervised learning with coordinate gradient descent	15
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	15
Automatic search intervals for the smoothing parameter in penalized splines	14
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	14
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	14
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	14
Latent structure blockmodels for Bayesian spectral graph clustering	13
Parallelized integrated nested Laplace approximations for fast Bayesian inference	12
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	12
Maximum softly-penalized likelihood for mixed effects logistic regression	12
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	12
Probabilistic time integration for semi-explicit PDAEs	12
Fast Bayesian inversion for high dimensional inverse problems	12
Subgraph nomination: query by example subgraph retrieval in networks	11
The clustered Mallows model	11

Bayesian learning via neural Schrödinger–Föllmer flows	11
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	11
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	10
Particle gradient descent model for point process generation	10
Variable selection using a smooth information criterion for distributional regression models	10
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	9
Extended fiducial inference for individual treatment effects via deep neural networks	9
Classifier-dependent feature selection via greedy methods	9
An efficient workflow for modelling high-dimensional spatial extremes	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	8
On predictive inference for intractable models via approximate Bayesian computation	8
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	8
Hyperparameter optimization for randomized algorithms: a case study on random features	8
A data-adaptive method for outlier detection from functional data	8
Penalized principal component analysis using smoothing	8
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	8
Current tendencies in Free-Running Oscillators: a review	8
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	8
Semiparametric efficient estimation of genetic relatedness with machine learning methods	8
Bayesian design for sampling anomalous spatio-temporal data	8
Tests for simultaneous ordered alternatives in a two-way ANOVA with interaction	7
Testing common degree-correction parameters of multilayer networks	7
Optimization of the generalized covariance estimator in noncausal processes	7
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	7
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	7
Heterogeneity-aware debiased machine learning for high-dimensional partially linear models	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	7
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	7
Logit unfolding choice models for binary data	7
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	7
Wasserstein principal component analysis for circular measures	7
Variational Tobit Gaussian Process Regression	7
Multi-index antithetic stochastic gradient algorithm	7
Erlang mixture modeling for Poisson process intensities	6
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo	6
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	6
Transformation models with informative partly interval-censored data	6
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	6
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	6
A model identification and selection method for varying coefficient EV models with missing responses	6
Bias-enhanced support detection and root finding approach	6
Asymptotic post-selection inference for regularized graphical models	6
Fused lasso nearly-isotonic signal approximation in general dimensions	6
Huber-energy measure quantization	6
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	6
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	6
Network-assisted Semi-supervised Logistic Regression	6
Topology-driven goodness-of-fit tests in arbitrary dimensions	6

A new flexible Bayesian hypothesis test for multivariate data	6
Improving tree probability estimation with stochastic optimization and variance reduction	6
The forward–backward envelope for sampling with the overdamped Langevin algorithm	5
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	5
Nonconvex Dantzig selector and its parallel computing algorithm	5
Sparse estimation and inference for prediction-powered semi-supervised linear regression	5
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	5
Variance reduction for Metropolis–Hastings samplers	5
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	5
One-step closed-form estimator for generalized linear model with categorical explanatory variables	5
On the f-divergences between densities of a multivariate location or scale family	5
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	5
On the application of Gaussian graphical models to paired data problems	5
Correction to: The COR criterion for optimal subset selection in distributed estimation	5
Simulation based composite likelihood	5
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	5
Variable selection using conditional AIC for linear mixed models with data-driven transformations	5
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	5
Independence test via mutual information in the presence of measurement errors	5
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	5
Maximum likelihood estimation of the Weibull distribution with reduced bias	5
Uniform calibration tests for forecasting systems with small lead time	5
Graph-based algorithms for phase-type distributions	5
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model	5
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	5
Wavelet-based robust estimation and variable selection in nonparametric additive models	5
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model	5
Data-adaptive structural change-point detection via isolation	5
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	5
Consistent causal inference from time series with PC algorithm and its time-aware extension	5
An algorithm aiming at unimodal density-based clustering using Gaussian mixture models	5
Using prior-data conflict to tune Bayesian regularized regression models	5
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	5
A Joint estimation approach to sparse additive ordinary differential equations	5
Functional concurrent hidden Markov model	5
Comparing unconstrained parametrization methods for return covariance matrix prediction	5
The stochastic proximal distance algorithm	5
Limitations of the Wasserstein MDE for univariate data	4
Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm	4
Feature splitting parallel algorithm for Dantzig selectors	4
Large-scale constrained Gaussian processes for shape-restricted function estimation	4
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	4
Systemic infinitesimal over-dispersion on graphical dynamic models	4
An expectile computation cookbook	4
Sequential changepoint detection in neural networks with checkpoints	4
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	4
Inference issue in multiscale geographically and temporally weighted regression	4
Affine-mapping based variational ensemble Kalman filter	4
Randomized self-updating process for clustering large-scale data	4
Natural gradient hybrid variational inference with application to deep mixed models	4
Inverse probability weighting estimation under ultrahigh-dimensional error-prone covariates and misclassified treatments	4
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	4
A fast epigraph and hypograph-based approach for clustering functional data	4
Fitting Matérn smoothness parameters using automatic differentiation	4
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	4
Constrained parsimonious model-based clustering	4
The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks	4
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	4
Total effects with constrained features	4
Cauchy Markov random field priors for Bayesian inversion	4
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data	4
Gradient boosting for generalised additive mixed models	4
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	4
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	4
New forest-based approaches for sufficient dimension reduction	4
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	4
A sparse PAC-Bayesian approach for high-dimensional quantile prediction	4
Exact computation of angular halfspace depth	4
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	4
Fast sampling and model selection for Bayesian mixture models	4
Spectral clustering on aggregated multilayer networks with covariates	4
Dynamic and robust Bayesian graphical models	4
Predictive Subgroup Logistic Regression for Classification with Unobserved Heterogeneity	4
Automatically adapting the number of state particles in SMC$$^2$$	4
Support vector machine in big data: smoothing strategy and adaptive distributed inference	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
Fitting double hierarchical models with the integrated nested Laplace approximation	4
Tree-based variational inference for Poisson log-normal models	4
Shrinkage for extreme partial least-squares	4

Automatic Zig-Zag sampling in practice	4
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	4
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds	4
Goodness of fit in relational event models	4
The recursive variational Gaussian approximation (R-VGA)	4
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	4
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	3
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models	3
Finding Interpretable Data Pockets in Tabular Data	3
Sequential Bayesian Registration for Functional Data	3
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs	3
Functional mixtures-of-experts	3
Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes	3
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	3
On simulation of continuous determinantal point processes	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data	3
Bayesian projection pursuit regression	3
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	3
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths	3
Geographically weighted quantile regression for count Data	3
A general model-checking procedure for semiparametric accelerated failure time models	3
IDGM: an approach to estimate the graphical model of interval-valued data	3
Bayesian parameter estimation for partially observed McKean-Vlasov diffusions using multilevel Markov chain Monte Carlo	3
Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification	3
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	3
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization	3
Improving the prediction accuracy of statistical models: A new hierarchical clustering approach	3
Local Polynomial $$L_p$$-norm Regression	3
S-SIRUS: an explainability algorithm for spatial regression Random Forest	3
Detection of spatiotemporal changepoints: a generalised additive model approach	3
Online Bayesian changepoint detection for network Poisson processes with community structure	3
Structured prior distributions for the covariance matrix in latent factor models	3
Sequential model identification with reversible jump ensemble data assimilation method	3
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics	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
Statistical inference and goodness-of-fit test in functional data via error distribution function	3
Bootstrap estimation of the proportion of outliers in robust regression	3
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	3
Double-loop importance sampling for McKean–Vlasov stochastic differential equation	3
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance	3
Quantile ratio regression	3
The computational asymptotics of Gaussian variational inference and the Laplace approximation	3
COMBSS: best subset selection via continuous optimization	3
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	3
Zero-inflation in the multivariate poisson lognormal family	3
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	3
Efficient Shapley performance attribution for least-squares regression	3
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	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 matrix formulation of model-based ensemble Kalman filter	3
Core-elements for large-scale least squares estimation	3
Shape modeling with spline partitions	3
High-dimensional order-free multivariate spatial disease mapping	3
Novel sampling method for the von Mises–Fisher distribution	3
Estimating the number of true null hypotheses based on change point of observed p values	2
Functional autoencoder for smoothing and representation learning	2
Testing the goodness-of-fit of the stable distributions with applications to German stock index data and Bitcoin cryptocurrency data	2
Improving model choice in classification: an approach based on clustering of covariance matrices	2
Expectile and M-quantile regression for panel data	2
Scalable computations for nonstationary Gaussian processes	2
An improved bisection-type algorithm for control chart calibration	2
Enhancing Quantile Function Estimation with Beta-Kernel Smoothing	2
$$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMC	2
Nonparametric empirical bayes prediction in mixed models	2
A joint kriging model with application to constrained classification	2
Lévy Langevin Monte Carlo	2
Density deconvolution under a k-monotonicity constraint	2
Information-Theoretic Criteria for Optimizing Designs of Individually Randomized Stepped-Wedge Clinical Trials	2
Fast and universal estimation of latent variable models using extended variational approximations	2
Switched diffusion processes for non-convex optimization and saddle points search	2
Multilevel estimation of normalization constants using ensemble Kalman–Bucy filters	2
Learning binary undirected graph in low dimensional regime	2
Insufficient Gibbs sampling	2
Distributed Estimation and Inference for High-Dimensional Confounded Models	2
False discovery rate envelopes	2
Efficient modeling of quasi-periodic data with seasonal Gaussian process	2
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy	2
Spatial autoregressive model for interval-valued data and applications	2
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks	2
Penalized quadratic inference functions estimation for fixed effects partially linear single index spatial error model	2
Two-armed Bandit Bootstrap for Model-free Equivalent Rank Test	2
A Bayesian approach to modeling finite element discretization error	2
Sparse logistic functional principal component analysis for binary data	2
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series	2
Model-free global likelihood subsampling for massive data	2
Online prediction of extreme conditional quantiles via B-spline interpolation	2
Online structural break detection in financial durations	2
Efficient and generalizable tuning strategies for stochastic gradient MCMC	2
Randomized Spectral Clustering for Large-Scale Multi-Layer Networks	2
Adaptive online variance estimation in particle filters: the ALVar estimator	2
Trans-cGAN: transformer-Unet-based generative adversarial networks for cross-modality magnetic resonance image synthesis	2
Split Hamiltonian Monte Carlo revisited	2