Statistics and Computing

Article	Citations
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	71
Automatic search intervals for the smoothing parameter in penalized splines	46
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	46
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	19
Model-based clustering of multiple networks with a hierarchical algorithm	19
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	19
Parallelized integrated nested Laplace approximations for fast Bayesian inference	19
Unifying Summary Statistic Selection for Approximate Bayesian Computation	17
Joint latent space models for ranking data and social network	17
Non-parametric estimation techniques of factor copula model using proxies	17
A limit formula and recursive algorithm for multivariate Normal tail probability	16
A robust nonparametric test for conditional symmetry in high dimension	16
Model-based clustering with missing not at random data	15
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	15
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	15
Robust supervised learning with coordinate gradient descent	15
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	13
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	13
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	13
A framework of regularized low-rank matrix models for regression and classification	13
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	12
Accelerated inference for stochastic compartmental models with over-dispersed partial observations	12
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	12
Pathwise optimization for bridge-type estimators and its applications	12
Probabilistic time integration for semi-explicit PDAEs	12

Particle gradient descent model for point process generation	12
Improved auxiliary particle filtering with a fully deterministic resampling scheme to treat posterior tails accurately	12
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	12
Subgraph nomination: query by example subgraph retrieval in networks	12
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	11
An efficient workflow for modelling high-dimensional spatial extremes	11
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	11
Current tendencies in Free-Running Oscillators: a review	11
Classifier-dependent feature selection via greedy methods	11
Extended fiducial inference for individual treatment effects via deep neural networks	11
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	11
The clustered Mallows model	10
On predictive inference for intractable models via approximate Bayesian computation	10
Variable selection using a smooth information criterion for distributional regression models	10
Bayesian learning via neural Schrödinger–Föllmer flows	10
A data-adaptive method for outlier detection from functional data	10
Hyperparameter optimization for randomized algorithms: a case study on random features	10
Bayesian surrogate training on multiple data sources: a hybrid modeling strategy	10
A Support vector machine-based mixture cure model for mixed case interval censored data	10
Fast variable selection under $$\ell _0$$ regularization in high-dimensions	9
Bayesian design for sampling anomalous spatio-temporal data	9
Heterogeneity-aware debiased machine learning for high-dimensional partially linear models	9
Logit unfolding choice models for binary data	9
Multi-index antithetic stochastic gradient algorithm	9
Approximate learning of parsimonious Bayesian context trees	9
Penalized principal component analysis using smoothing	9
Testing common degree-correction parameters of multilayer networks	9
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	9
Wasserstein principal component analysis for circular measures	9
Maximum softly-penalized likelihood for mixed effects logistic regression	9
Fairness via independence: a (conditional) distance covariance framework	9
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	9
An analysis of the modality and flexibility of the inverse stereographic normal distribution	9
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	9
Optimization of the generalized covariance estimator in noncausal processes	8
Online learning for high-dimensional single-index model with streaming data	8
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	8
Tests for simultaneous ordered alternatives in a two-way ANOVA with interaction	8
A model identification and selection method for varying coefficient EV models with missing responses	8
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	8
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	8
Accelerating particle-based energetic variational inference	8
Semiparametric efficient estimation of genetic relatedness with machine learning methods	8
Improving power by conditioning on less in post-selection inference for changepoints	7
Bias-enhanced support detection and root finding approach	7
Maximum likelihood estimation of the Weibull distribution with reduced bias	7
Transformation models with informative partly interval-censored data	7
Functional concurrent hidden Markov model	7
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	7
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	7

Comparing unconstrained parametrization methods for return covariance matrix prediction	7
Variational Tobit Gaussian Process Regression	7
Network-assisted Semi-supervised Logistic Regression	7
Graph-based algorithms for phase-type distributions	7
A Joint estimation approach to sparse additive ordinary differential equations	7
Improving tree probability estimation with stochastic optimization and variance reduction	7
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	7
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	7
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	7
Topology-driven goodness-of-fit tests in arbitrary dimensions	7
Huber-energy measure quantization	7
On the f-divergences between densities of a multivariate location or scale family	7
On the application of Gaussian graphical models to paired data problems	7
A Generalized Unified Skew-Normal Process with Neural Bayes Inference	7
Consistent causal inference from time series with PC algorithm and its time-aware extension	6
Bayesian inference of longitudinal count data with informative dropouts using a zero-inflated negative binomial mixed model	6
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	6
Correction to: The COR criterion for optimal subset selection in distributed estimation	6
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model	6
Optimal estimation and uncertainty quantification for Stochastic inverse problems via variational Bayesian methods	6
Valid asymptotic inference after sufficient dimension reduction in a single-index framework	6
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo	6
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	6
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	6
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	6
Sparse estimation and inference for prediction-powered semi-supervised linear regression	6
Nonconvex Dantzig selector and its parallel computing algorithm	6
Fused lasso nearly-isotonic signal approximation in general dimensions	6
Efficient inference in first passage time models	6
A new flexible Bayesian hypothesis test for multivariate data	6
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	6
Using prior-data conflict to tune Bayesian regularized regression models	6
The stochastic proximal distance algorithm	6
Functional sufficient dimension reduction with multivariate responses: a projection averaging method and beyond	6
An algorithm aiming at unimodal density-based clustering using Gaussian mixture models	6
Automatic Zig-Zag sampling in practice	6
Online survival analysis with quantile regression	6
Asymptotic post-selection inference for regularized graphical models	6
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	6
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	6
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	6
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	5
Meta-analyzing multiple functional data with functional fixed-effects model	5
Reducing variance and improving bandwidth selection in density estimation via semiparametric transformations and local linear smoothing	5
A fast and accurate numerical method for the left tail of sums of independent random variables	5
Predictive Subgroup Logistic Regression for Classification with Unobserved Heterogeneity	5
Nonlinear sufficient dimension reduction for Conditional quantiles in scalar-on-function single-index models	5
Independence test via mutual information in the presence of measurement errors	5
Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm	5
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	5
Variable selection using conditional AIC for linear mixed models with data-driven transformations	5
One-step closed-form estimator for generalized linear model with categorical explanatory variables	5
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	5
Bayesian stability selection and inference on selection probabilities	5
Fitting Matérn smoothness parameters using automatic differentiation	5
Randomized self-updating process for clustering large-scale data	5
Robust Variational Gaussian Process Regression for Count Data with the Trimmed Marginal Likelihood	5
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	5
Quantile regression feature selection and estimation with grouped variables using Huber approximation	5
Fitting double hierarchical models with the integrated nested Laplace approximation	5
Statistical Analysis of Dissimilarity Matrices	5
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	5
New forest-based approaches for sufficient dimension reduction	5
Simulation based composite likelihood	5
Variance reduction for Metropolis–Hastings samplers	5
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	5
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	5
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	5
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	5
Support vector machine in big data: smoothing strategy and adaptive distributed inference	5
Spectral clustering on aggregated multilayer networks with covariates	5
Exact computation of angular halfspace depth	5
Shrinkage for extreme partial least-squares	5
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	5
Large-scale constrained Gaussian processes for shape-restricted function estimation	5
The forward–backward envelope for sampling with the overdamped Langevin algorithm	5
Affine-mapping based variational ensemble Kalman filter	5
Uniform calibration tests for forecasting systems with small lead time	5
Transfer learning for high-dimensional data with heavy-tailed noise: A sparse convoluted rank regression method	5
Data-adaptive structural change-point detection via isolation	5

Systemic infinitesimal over-dispersion on graphical dynamic models	5
Goodness of fit in relational event models	5
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds	4
Density regression via Dirichlet process mixtures of normal structured additive regression models	4
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	4
COMBSS: best subset selection via continuous optimization	4
Dynamic and robust Bayesian graphical models	4
Inverse probability weighting estimation under ultrahigh-dimensional error-prone covariates and misclassified treatments	4
A model-based feature selection approach for type 2 Diabetes Mellitus diagnosis using Heart Rate and Systolic Arterial Pressure series measures	4
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	4
The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks	4
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	4
An expectile computation cookbook	4
Improving the prediction accuracy of statistical models: A new hierarchical clustering approach	4
Accelerated gradient methods for sparse statistical learning with nonconvex penalties	4
Inference issue in multiscale geographically and temporally weighted regression	4
A sparse PAC-Bayesian approach for high-dimensional quantile prediction	4
Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles	4
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	4
Gradient boosting for generalised additive mixed models	4
TSPINN: Thompson sampling-based adaptive training for physics-informed neural networks	4
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	4
Finding Interpretable Data Pockets in Tabular Data	4
Natural gradient hybrid variational inference with application to deep mixed models	4
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths	4
Total effects with constrained features	4
Local Polynomial $$L_p$$-norm Regression	4
Feature splitting parallel algorithm for Dantzig selectors	4
Automatically adapting the number of state particles in SMC$$^2$$	4
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	4
A fast epigraph and hypograph-based approach for clustering functional data	4
Scalable variational inference for multinomial probit models under large choice sets and sample sizes	4
Tree-based variational inference for Poisson log-normal models	4
Correction: 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
Bayesian parameter estimation for partially observed McKean-Vlasov diffusions using multilevel Markov chain Monte Carlo	4
Limitations of the Wasserstein MDE for univariate data	4
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	4
BOB: Bayesian optimized bootstrap for approximate posterior sampling in Gaussian mixture models	3
Bootstrap estimation of the proportion of outliers in robust regression	3
Sparse outlier-robust PCA for multi-source data	3
High-dimensional order-free multivariate spatial disease mapping	3
Gradient learning of symmetric positive-definite matrix regression	3
Online Bayesian changepoint detection for network Poisson processes with community structure	3
A Bayesian parametrized method for interval-valued regression models	3
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization	3
Explainable generalized additive neural networks with independent neural network training	3
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	3
Structured prior distributions for the covariance matrix in latent factor models	3
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	3
Detection of spatiotemporal changepoints: a generalised additive model approach	3
Variational Markov chain mixtures with automatic component selection	3
Quantile ratio regression	3
General Jackknife empirical likelihood and its applications	3
A sparse matrix formulation of model-based ensemble Kalman filter	3
Taming numerical imprecision by adapting the KL divergence to negative probabilities	3
Bayesian wasserstein repulsive gaussian mixture models	3
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data	3
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors	3
S-SIRUS: an explainability algorithm for spatial regression Random Forest	3
Unbiased parameter estimation for bayesian inverse problems	3
Generalized Bayesian multidimensional scaling and model comparison	3
Variational Bayesian inference for models with nuisance parameters and an intractable likelihood	3
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities	3
Estimation of a likelihood ratio ordered family of distributions	3
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	3
Fuzzy clustering with Barber modularity regularization	3
Age-of-information in distributed systems caused by asynchronous computing modeled as parallel renewal processes	3
IDGM: an approach to estimate the graphical model of interval-valued data	3
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	3
Efficient Shapley performance attribution for least-squares regression	3
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	3
Novel sampling method for the von Mises–Fisher distribution	3
The second–derivative lower–bound function (SeLF) algorithm and three acceleration techniques for maximization with strongly stable convergence	3
Accelerated Bayesian Kernel Machine Regression: A Gaussian Variational Approximation with the Horseshoe Prior	3
On simulation of continuous determinantal point processes	3
Statistical inference for autoencoder-based anomaly detection after representation learning-based domain adaptation	3
Geographically weighted quantile regression for count Data	3
Estimating the causal treatment effect in multi-site current status data with the additive hazards model and neural networks	3
Shape modeling with spline partitions	3
Questioning normality: A study of wavelet leaders distribution	3
Statistical inference and goodness-of-fit test in functional data via error distribution function	3
A general model-checking procedure for semiparametric accelerated failure time models	3
Variable selection and estimation for PSH regression models via generalized seamless-$$L_0$$ penalty	3
D-Optimal Subsampling Design for Multiple Linear Regression on Massive Data	3
Sparse Bayesian learning for label efficiency in cardiac real-time MRI	3
Zero-inflation in the multivariate poisson lognormal family	3
A Gibbs sampler for the LKJ Prior on correlation matrices	3
Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification	3
Functional mixtures-of-experts	3
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models	3
Double-loop importance sampling for McKean–Vlasov stochastic differential equation	3
Generalized linear models for massive data via doubly-sketching	3
Bayesian analysis of Cox-type regression model with partly linear covariate effects via reversible jump Markov chain Monte Carlo	3
Fast generation of exchangeable sequences of clusters data	3