Statistics and Computing

Article	Citations
Automated generation of initial points for adaptive rejection sampling of log-concave distributions	89
Unbalanced distributed estimation and inference for the precision matrix in Gaussian graphical models	61
Automatic search intervals for the smoothing parameter in penalized splines	50
Unifying Summary Statistic Selection for Approximate Bayesian Computation	22
Non-parametric estimation techniques of factor copula model using proxies	21
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents	20
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection	20
A robust nonparametric test for conditional symmetry in high dimension	19
A limit formula and recursive algorithm for multivariate Normal tail probability	19
Robust supervised learning with coordinate gradient descent	18
A framework of regularized low-rank matrix models for regression and classification	17
Model-based clustering with missing not at random data	17
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference	16
Model-based clustering of multiple networks with a hierarchical algorithm	15
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation	15
Pathwise optimization for bridge-type estimators and its applications	15
Parallelized integrated nested Laplace approximations for fast Bayesian inference	15
Improved auxiliary particle filtering with a fully deterministic resampling scheme to treat posterior tails accurately	15
Accelerated inference for stochastic compartmental models with over-dispersed partial observations	15
Subgraph nomination: query by example subgraph retrieval in networks	13
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems	13
Probabilistic time integration for semi-explicit PDAEs	13
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression	13
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach	13
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables	13

Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers	13
Current tendencies in Free-Running Oscillators: a review	12
Classifier-dependent feature selection via greedy methods	12
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise	12
Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method	12
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities	12
Extended fiducial inference for individual treatment effects via deep neural networks	12
Bayesian surrogate training on multiple data sources: a hybrid modeling strategy	11
A Support vector machine-based mixture cure model for mixed case interval censored data	11
On predictive inference for intractable models via approximate Bayesian computation	11
An efficient workflow for modelling high-dimensional spatial extremes	11
Bayesian learning via neural Schrödinger–Föllmer flows	11
Hyperparameter optimization for randomized algorithms: a case study on random features	11
Fairness via independence: a (conditional) distance covariance framework	11
Maximum softly-penalized likelihood for mixed effects logistic regression	11
A data-adaptive method for outlier detection from functional data	11
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data	10
Approximate learning of parsimonious Bayesian context trees	10
Variable selection using a smooth information criterion for distributional regression models	10
Penalized principal component analysis using smoothing	10
Bayesian design for sampling anomalous spatio-temporal data	10
Fast variable selection under $$\ell _0$$ regularization in high-dimensions	10
Robust sparse penalization under heavy-tailed noise and outliers with exponential-type loss via the LASSO	10
Adaptive confidence intervals for extreme quantiles from heavy-tailed distributions	10
A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling	10
The clustered Mallows model	10
An analysis of the modality and flexibility of the inverse stereographic normal distribution	9
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling	9
A model identification and selection method for varying coefficient EV models with missing responses	9
Tests for simultaneous ordered alternatives in a two-way ANOVA with interaction	9
Variational Tobit Gaussian Process Regression	9
Logit unfolding choice models for binary data	9
Supervised learning via ensembles of diverse functional representations: the functional voting classifier	9
Semiparametric efficient estimation of genetic relatedness with machine learning methods	9
Wasserstein principal component analysis for circular measures	9
Testing common degree-correction parameters of multilayer networks	9
Heterogeneity-aware debiased machine learning for high-dimensional partially linear models	9
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems	9
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function	9
Multi-index antithetic stochastic gradient algorithm	9
Optimization of the generalized covariance estimator in noncausal processes	8
Comparing unconstrained parametrization methods for return covariance matrix prediction	8
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM	8
Network-assisted Semi-supervised Logistic Regression	8
Testing the equality of estimable parameters across many populations	8
A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy	8
Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data	8
Huber-energy measure quantization	8
Transformation models with informative partly interval-censored data	8
Online learning for high-dimensional single-index model with streaming data	8

Improving power by conditioning on less in post-selection inference for changepoints	8
Bias-enhanced support detection and root finding approach	8
Graph-based algorithms for phase-type distributions	8
On the f-divergences between densities of a multivariate location or scale family	8
Accelerating particle-based energetic variational inference	8
INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC	7
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach	7
Fused lasso nearly-isotonic signal approximation in general dimensions	7
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models	7
The forward–backward envelope for sampling with the overdamped Langevin algorithm	7
A new flexible Bayesian hypothesis test for multivariate data	7
Efficient inference in first passage time models	7
Improving tree probability estimation with stochastic optimization and variance reduction	7
A Generalized Unified Skew-Normal Process with Neural Bayes Inference	7
Optimal estimation and uncertainty quantification for Stochastic inverse problems via variational Bayesian methods	7
Asymptotic post-selection inference for regularized graphical models	7
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model	7
Automatic Zig-Zag sampling in practice	7
Using prior-data conflict to tune Bayesian regularized regression models	7
A Joint estimation approach to sparse additive ordinary differential equations	7
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo	7
On the application of Gaussian graphical models to paired data problems	7
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection	7
Online survival analysis with quantile regression	7
Topology-driven goodness-of-fit tests in arbitrary dimensions	7
Valid asymptotic inference after sufficient dimension reduction in a single-index framework	7
The stochastic proximal distance algorithm	7
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes	7
Efficient simulation of p-tempered $$\alpha $$-stable OU processes	7
Maximum likelihood estimation of the Weibull distribution with reduced bias	7
Functional concurrent hidden Markov model	7
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion	6
Nonconvex Dantzig selector and its parallel computing algorithm	6
Data-adaptive structural change-point detection via isolation	6
Variable selection using conditional AIC for linear mixed models with data-driven transformations	6
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions	6
One-step closed-form estimator for generalized linear model with categorical explanatory variables	6
Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity	6
A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes	6
Functional sufficient dimension reduction with multivariate responses: a projection averaging method and beyond	6
Correction to: The COR criterion for optimal subset selection in distributed estimation	6
Penalized empirical likelihood estimation and EM algorithms for closed-population capture–recapture models	6
Simulation based composite likelihood	6
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model	6
Reducing variance and improving bandwidth selection in density estimation via semiparametric transformations and local linear smoothing	6
Transfer learning for high-dimensional data with heavy-tailed noise: A sparse convoluted rank regression method	6
Sparse estimation and inference for prediction-powered semi-supervised linear regression	6
Bayesian inference of longitudinal count data with informative dropouts using a zero-inflated negative binomial mixed model	6
An algorithm aiming at unimodal density-based clustering using Gaussian mixture models	6
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification	6
Variance reduction for Metropolis–Hastings samplers	6
Uniform calibration tests for forecasting systems with small lead time	6
Independence test via mutual information in the presence of measurement errors	6
Inverse probability weighting estimation under ultrahigh-dimensional error-prone covariates and misclassified treatments	5
Large-scale constrained Gaussian processes for shape-restricted function estimation	5
A fast and accurate numerical method for the left tail of sums of independent random variables	5
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions	5
An expectile computation cookbook	5
Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks	5
Exact computation of angular halfspace depth	5
A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models	5
Sufficient Dimension Reduction via Inverse Conditional Mean or Variance Independence	5
Total effects with constrained features	5
Inference issue in multiscale geographically and temporally weighted regression	5
Scalable variational inference for multinomial probit models under large choice sets and sample sizes	5
Meta-analyzing multiple functional data with functional fixed-effects model	5
Tree-based variational inference for Poisson log-normal models	5
TSPINN: Thompson sampling-based adaptive training for physics-informed neural networks	5
Predictive Subgroup Logistic Regression for Classification with Unobserved Heterogeneity	5
Natural gradient hybrid variational inference with application to deep mixed models	5
Affine-mapping based variational ensemble Kalman filter	5
Randomized self-updating process for clustering large-scale data	5
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics	5
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models	5
Fitting double hierarchical models with the integrated nested Laplace approximation	5
Consistent causal inference from time series with PC algorithm and its time-aware extension	5
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores	5
COMBSS: best subset selection via continuous optimization	5
Robust Variational Gaussian Process Regression for Count Data with the Trimmed Marginal Likelihood	5
Statistical Analysis of Dissimilarity Matrices	5

Accelerated gradient methods for sparse statistical learning with nonconvex penalties	5
A fast epigraph and hypograph-based approach for clustering functional data	5
Support vector machine in big data: smoothing strategy and adaptive distributed inference	5
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds	5
Bayesian stability selection and inference on selection probabilities	5
The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks	5
Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm	5
Stability selection via variable decorrelation	5
Systemic infinitesimal over-dispersion on graphical dynamic models	5
Shrinkage for extreme partial least-squares	5
Quantile regression feature selection and estimation with grouped variables using Huber approximation	5
New forest-based approaches for sufficient dimension reduction	5
Fitting Matérn smoothness parameters using automatic differentiation	5
Automatically adapting the number of state particles in SMC$$^2$$	5
Goodness of fit in relational event models	5
Nonlinear sufficient dimension reduction for Conditional quantiles in scalar-on-function single-index models	5
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	5
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach	5
Spectral clustering on aggregated multilayer networks with covariates	5
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach	4
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions	4
Improving the prediction accuracy of statistical models: A new hierarchical clustering approach	4
Gradient boosting for generalised additive mixed models	4
Online Bayesian changepoint detection for network Poisson processes with community structure	4
Bayesian parameter estimation for partially observed McKean-Vlasov diffusions using multilevel Markov chain Monte Carlo	4
Local Polynomial $$L_p$$-norm Regression	4
Modularized Bayesian analyses and cutting feedback in likelihood-free inference	4
Limitations of the Wasserstein MDE for univariate data	4
Dynamic and robust Bayesian graphical models	4
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	4
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data	4
Efficient estimation of expected information gain in Bayesian experimental design with multi-index Monte Carlo	4
Core-elements for large-scale least squares estimation	4
A semiparametric step-stress competing risk model	4
Sparse Bayesian learning for label efficiency in cardiac real-time MRI	4
Greedy recursive spectral bisection for modularity-bound hierarchical divisive community detection	4
Age-of-information in distributed systems caused by asynchronous computing modeled as parallel renewal processes	4
Functional mixtures-of-experts	4
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths	4
Finding Interpretable Data Pockets in Tabular Data	4
A sparse PAC-Bayesian approach for high-dimensional quantile prediction	4
Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles	4
Unbiased and multilevel methods for a class of diffusions partially observed via marked point processes	4
A continuous gaussian mixture approach to sample multivariate gaussians constrained by linear inequalities	4
Generalized Bayesian multidimensional scaling and model comparison	4
Variable selection and estimation for PSH regression models via generalized seamless-$$L_0$$ penalty	4
Density regression via Dirichlet process mixtures of normal structured additive regression models	4
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome	4
An innovative nonparametric ranking estimation method with multivariate binary variables	4
A Gibbs sampler for the LKJ Prior on correlation matrices	4
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	4
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation	4
Fast sampling and model selection for Bayesian mixture models	4
A model-based feature selection approach for type 2 Diabetes Mellitus diagnosis using Heart Rate and Systolic Arterial Pressure series measures	4
Variational Markov chain mixtures with automatic component selection	4
Feature splitting parallel algorithm for Dantzig selectors	4
Sequential model identification with reversible jump ensemble data assimilation method	4
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration	4