Statistics and Computing

Article	Citations
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	62
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	45
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	42
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	22
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	19
Automatic search intervals for the smoothing parameter in penalized splines	19
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	19
Joint latent space models for ranking data and social network	18
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	17
Improved auxiliary particle filtering with a fully deterministic resampling scheme to treat posterior tails accurately	17
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	17
Accelerated inference for stochastic compartmental models with over-dispersed partial observations	16
A framework of regularized low-rank matrix models for regression and classification	16
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	15
A robust nonparametric test for conditional symmetry in high dimension	14
A limit formula and recursive algorithm for multivariate Normal tail probability	14
Model-based clustering of multiple networks with a hierarchical algorithm	13
Unifying Summary Statistic Selection for Approximate Bayesian Computation	13
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	13
Robust supervised learning with coordinate gradient descent	13
Non-parametric estimation techniques of factor copula model using proxies	13
Pathwise optimization for bridge-type estimators and its applications	12
A Support vector machine-based mixture cure model for mixed case interval censored data	12
Parallelized integrated nested Laplace approximations for fast Bayesian inference	12
Probabilistic time integration for semi-explicit PDAEs	12

Model-based clustering with missing not at random data	12
Particle gradient descent model for point process generation	11
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	11
Hyperparameter optimization for randomized algorithms: a case study on random features	11
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	11
Fast variable selection under $$\ell _0$$ regularization in high-dimensions	11
Subgraph nomination: query by example subgraph retrieval in networks	11
An efficient workflow for modelling high-dimensional spatial extremes	11
Current tendencies in Free-Running Oscillators: a review	10
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	10
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	10
On predictive inference for intractable models via approximate Bayesian computation	10
Extended fiducial inference for individual treatment effects via deep neural networks	10
The clustered Mallows model	10
A data-adaptive method for outlier detection from functional data	10
Classifier-dependent feature selection via greedy methods	9
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	9
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	9
Approximate learning of parsimonious Bayesian context trees	9
Fairness via independence: a (conditional) distance covariance framework	9
Bayesian learning via neural Schrödinger–Föllmer flows	9
Penalized principal component analysis using smoothing	9
Heterogeneity-aware debiased machine learning for high-dimensional partially linear models	9
Maximum softly-penalized likelihood for mixed effects logistic regression	9
Variable selection using a smooth information criterion for distributional regression models	9
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	9
Bayesian design for sampling anomalous spatio-temporal data	9
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	8
Testing common degree-correction parameters of multilayer networks	8
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	8
A model identification and selection method for varying coefficient EV models with missing responses	8
Optimization of the generalized covariance estimator in noncausal processes	8
Online learning for high-dimensional single-index model with streaming data	8
An analysis of the modality and flexibility of the inverse stereographic normal distribution	8
Multi-index antithetic stochastic gradient algorithm	8
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	8
Logit unfolding choice models for binary data	8
Wasserstein principal component analysis for circular measures	8
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	8
Semiparametric efficient estimation of genetic relatedness with machine learning methods	8
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	8
Huber-energy measure quantization	7
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions	7
Topology-driven goodness-of-fit tests in arbitrary dimensions	7
Graph-based algorithms for phase-type distributions	7
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	7
On the f-divergences between densities of a multivariate location or scale family	7
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model	7
Tests for simultaneous ordered alternatives in a two-way ANOVA with interaction	7
Bias-enhanced support detection and root finding approach	7

Maximum likelihood estimation of the Weibull distribution with reduced bias	7
Fused lasso nearly-isotonic signal approximation in general dimensions	7
Transformation models with informative partly interval-censored data	7
Functional concurrent hidden Markov model	7
Variational Tobit Gaussian Process Regression	7
Improving power by conditioning on less in post-selection inference for changepoints	7
Network-assisted Semi-supervised Logistic Regression	7
Comparing unconstrained parametrization methods for return covariance matrix prediction	7
Optimal estimation and uncertainty quantification for Stochastic inverse problems via variational Bayesian methods	7
A Joint estimation approach to sparse additive ordinary differential equations	7
Improving tree probability estimation with stochastic optimization and variance reduction	7
Bayesian inference of longitudinal count data with informative dropouts using a zero-inflated negative binomial mixed model	6
Correction to: The COR criterion for optimal subset selection in distributed estimation	6
Using prior-data conflict to tune Bayesian regularized regression models	6
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	6
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	6
Efficient inference in first passage time models	6
Online survival analysis with quantile regression	6
Valid asymptotic inference after sufficient dimension reduction in a single-index framework	6
Transfer learning for high-dimensional data with heavy-tailed noise: A sparse convoluted rank regression method	6
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	6
The stochastic proximal distance algorithm	6
One-step closed-form estimator for generalized linear model with categorical explanatory variables	6
A new flexible Bayesian hypothesis test for multivariate data	6
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	6
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	6
A Generalized Unified Skew-Normal Process with Neural Bayes Inference	6
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	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
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo	6
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	6
On the application of Gaussian graphical models to paired data problems	6
Asymptotic post-selection inference for regularized graphical models	6
Uniform calibration tests for forecasting systems with small lead time	6
Shrinkage for extreme partial least-squares	5
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	5
Fitting double hierarchical models with the integrated nested Laplace approximation	5
Statistical Analysis of Dissimilarity Matrices	5
Independence test via mutual information in the presence of measurement errors	5
Fitting Matérn smoothness parameters using automatic differentiation	5
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	5
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	5
Nonconvex Dantzig selector and its parallel computing algorithm	5
Variable selection using conditional AIC for linear mixed models with data-driven transformations	5
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	5
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	5
Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm	5
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	5
Quantile regression feature selection and estimation with grouped variables using Huber approximation	5
Large-scale constrained Gaussian processes for shape-restricted function estimation	5
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	5
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	5
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	5
New forest-based approaches for sufficient dimension reduction	5
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	5
Bayesian stability selection and inference on selection probabilities	5
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	5
Simulation based composite likelihood	5
Sparse estimation and inference for prediction-powered semi-supervised linear regression	5
Exact computation of angular halfspace depth	5
Spectral clustering on aggregated multilayer networks with covariates	5
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	5
Systemic infinitesimal over-dispersion on graphical dynamic models	5
Variance reduction for Metropolis–Hastings samplers	5
Randomized self-updating process for clustering large-scale data	5
The forward–backward envelope for sampling with the overdamped Langevin algorithm	5
Affine-mapping based variational ensemble Kalman filter	5
Reducing variance and improving bandwidth selection in density estimation via semiparametric transformations and local linear smoothing	5
Support vector machine in big data: smoothing strategy and adaptive distributed inference	5
Automatic Zig-Zag sampling in practice	5
Nonlinear sufficient dimension reduction for Conditional quantiles in scalar-on-function single-index models	5
Consistent causal inference from time series with PC algorithm and its time-aware extension	5
Data-adaptive structural change-point detection via isolation	5
Predictive Subgroup Logistic Regression for Classification with Unobserved Heterogeneity	5
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	5
A fast and accurate numerical method for the left tail of sums of independent random variables	5
Local Polynomial $$L_p$$-norm Regression	4
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	4
A Gibbs sampler for the LKJ Prior on correlation matrices	4

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