Journal of Statistical Planning and Inference

Papers
(The median citation count of Journal of Statistical Planning and Inference is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Generalized accelerated failure time model with censored data from case-cohort studies18
Distributed eQTL analysis with auxiliary information17
A Quasi-Bayesian change point detection with exchangeable weights16
Goodness-of-fit test for partial functional linear model with errors in scalar covariates14
Column expanded Latin hypercube designs14
Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate13
Robust Integrative Analysis via Quantile Regression with Homogeneity and Sparsity13
A criterion for estimating the largest linear homoscedastic zone in Gaussian data12
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting12
Regularized matrix-variate logistic regression with response subject to misclassification10
Exchangeable Bernoulli distributions: High dimensional simulation, estimation, and testing10
Estimation in functional single-index varying coefficient model10
A new user specific multiple testing method for business applications: The SiMaFlex procedure9
A scalable surrogate L09
Semiparametric regression modeling of the global percentile outcome9
Resampling techniques for a class of smooth, possibly data-adaptive empirical copulas9
Two-sample Behrens–Fisher problems for high-dimensional data: A normal reference approach8
A sequential approach to feature selection in high-dimensional additive models7
Overlap weight and propensity score residual for heterogeneous effects: A review with extensions7
Editorial Board7
Subgroup analysis for the functional linear model7
Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates7
A selective review of sufficient dimension reduction for multivariate response regression7
Local linear regression with nonparametrically generated covariates for weakly dependent data6
Stable convergence of conditional least squares estimators for supercritical continuous state and continuous time branching processes with immigration6
Whittle parameter estimation for vector ARMA models with heavy-tailed noises6
Zero-modified count time series with Markovian intensities6
Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net6
Generalized Bayes estimators with closed forms for the normal mean and covariance matrices6
Estimation for the Cox model with biased sampling data via risk set sampling6
Optimal s-level fractional factorial designs under baseline parame5
Sparse designs for estimating variance components of nested factors with random effects5
D-optimal augmented designs and the existence of tight orthogonal arrays with high strength5
Increasing cluster size asymptotics for nested error regression models5
Approximating the operating characteristics of Bayesian Uncertainty directed trial Designs5
Oracle-efficient estimation and global inferences for variance function of functional data5
Maximum likelihood estimation of sparse networks with missing observations5
Regression analysis of longitudinal data with mixed synchronous and asynchronous longitudinal covariates5
U-statistic based on overlapping sample spacings5
A new filtering inference procedure for a GED state-space volatility model5
A modelling framework for regression with collinearity5
Hermite regression estimation in noisy convolution model5
Model checking for parametric single-index models with massive datasets5
Shifted BH methods for controlling false discovery rate in multiple testing of the means of correlated normals against two-sided alternatives5
A comparison of likelihood-based methods for size-biased sampling5
Mixed-integer linear programming for computing optimal experimental designs5
Fast and asymptotically-efficient estimation in an autoregressive process with fractional type noise4
A note on the smoothness of densities4
Semiparametric two-sample admixture components comparison test: The symmetric case4
New perspectives on knockoffs construction4
A precise local limit theorem for the multinomial distribution and some applications4
Bregman divergence to generalize Bayesian influence measures for data analysis4
Editorial Board4
Some clustering-based change-point detection methods applicable to high dimension, low sample size data4
Modelling and parameter estimation for discretely observed fractional iterated Ornstein–Uhlenbeck processes4
Z-valued time series: Models, propertie4
The proximal bootstrap for constrained estimators4
Two-sample functional linear models with functional responses4
Limit laws for the norms of extremal samples4
A smoothed p-value test when there is a nuisance parameter under the alternative4
Weighted empirical minimum distance estimators in linear errors-in-variables regression models4
Variable selection in the Box–Cox power transformation model4
Uniformly valid inference for partially linear high-dimensional single-index models4
Uniformly more powerful tests for a subset of the components of a Normal Mean Vector4
Mallows model averaging based on kernel regression imputation with responses missing at random3
An integrative framework for geometric and hidden projections in three-level fractional factorial designs3
A general Bayesian bootstrap for censored data based on the beta-Stacy process3
Editorial Board3
Equivalence theorems for multiple-design problems with application in mixed models3
Deep learning for ψ-weakly dependent processes3
A multidimensional objective prior distribution from a scoring rule3
Uniformity of saturated orthogonal arrays3
Testing the equality of distributions using integrated maximum mean discrepancy3
Penalised t-walk MCMC3
Restricted estimation of the cumulative incidence functions of two competing risks3
Statistical inference from partially nominated sets: An application to estimating the prevalence of osteoporosis among adult women3
Bi-s3
Multiple testing in genome-wide association studies via hierarchical hidden Markov models3
Editorial Board3
Generalized linear–quadratic model with a change point due to a covariate threshold3
Proximal operator for the sorted3
Adaptive nonparametric estimation of a component density in a two-class mixture model3
Editorial Board3
Testing hypothesis on transition distributions of a Markov sequence3
Statistical inference for wavelet curve estimators of symmetric positive definite matrices3
Density estimation of a mixture distribution with unknown point-mass and normal error3
Designs for half-diallel experiments with commutative orthogonal block structure3
A new non-parametric estimation of the expected shortfall for dependent financial losses3
On energy tests of normality3
Local polynomial smoothing based on the Kaplan–Meier estimate3
Poisson limit theorems for the Cressie–Read statistics3
An empirical likelihood-based unified test for the integer-valued AR(1) models2
Editorial Board2
Measures of conditional dependence for nonlinearity, asymmetry and beyond2
Sparse multiple kernel learning: Minimax rates with random projection2
Editorial Board2
Optimal designs for mean–covariance models with missing observations2
Temporal aggregation and systematic sampling for INGARCH processes2
Bayesian analysis of nonparanormal graphical models using rank-likelihood2
Convergent stochastic algorithm for estimation in general multivariate correlated frailty models using integrated partial likelihood2
Exact confidence limits compatible with the result of a sequential trial2
A faster U-statistic for testing independence in the functional linear models2
An adaptive group LASSO approach for domain selection in functional generalized linear models2
A note on the construction of incomplete row–column designs: An algorithmic approach2
Inference on regression model with misclassified binary response2
LAMN property for jump diffusion processes with discrete observations on a fixed time interval2
Optimal subsampling for the Cox proportional hazards model with massive survival data2
Maximum correntropy criterion regression models with tending-to-zero scale parameters2
Robust nonparametric regression based on deep ReLU neural networks2
Two-way ORDANOVA: Analyzing ordinal variation in a cross-balanced design2
Feature selection in ultrahigh-dimensional additive models with heterogeneous frequency component functions2
A monotone frequentist measure of evidence for testing variance components in linear mixed models2
Statistical inference in factor analysis for diffusion processes from discrete observations2
Optimal sparse eigenspace and low-rank density matrix estimation for quantum systems2
Beta regression misspecification tests2
Reduced-bias estimation of the extreme conditional tail expectation for Box–Cox transforms of heavy-tailed distributions2
Properties of Fisher information gain for Bayesian design of experiments2
Construction of 2fi-optimal row–column designs2
A test for second-order stationarity of a time series based on the maximum of Anderson–Darling statistics2
Circular designs for total effects under interference models2
Bayesian nonparametrics for directional statistics2
Regression-assisted Bayesian record linkage for causal inference in observational studies with covariates spread over two files2
Trading information, price discreteness, and volatility estimation2
Asymptotic uncertainty quantification for communities in sparse planted bi-section models2
Editorial Board2
The limits of the sample spiked eigenvalues for a high-dimensional generalized Fisher matrix and its applications2
Variable selection with the knockoffs: Composite null hypotheses2
A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data2
Penalized kernel quantile regression for varying coefficient models2
Distributed optimal subsampling for quantile regression with massive data2
Adjusted maximum likelihood method for multivariate Fay–Herriot model2
Multimatricvariate distribution under elliptical models1
Bayesian predictive density estimation for a Chi-squared model using information from a normal observation with unknown mean and variance1
Editorial Board1
Self-normalized inference for stationarity of irregular spatial data1
Confidence intervals for a ratio of percentiles of location-scale distributions1
Semiparametric estimation of a principal functional coefficient panel data model with cross-sectional dependence and its application to cigarette demand1
Editorial Board1
Robust penalized empirical likelihood in high dimensional longitudinal data analysis1
Construction of mixed-level screening designs using Hadamard matrices1
Construction of high-dimensional high-separation distance designs1
Choice of smoothing parameter in multivariate copula-based tail coefficients1
Fast construction of efficient two-level parallel flats designs1
Removing inessential points in c-and 1
Estimating diffusion with compound Poisson jumps based on self-normalized residuals1
Penalized unimodal spline density estimation with application to M-estimation1
Estimating change-point latent factor models for high-dimensional time series1
Alternative asymptotic inference theory for a nonstationary Hawkes process1
Robust estimation of a regression function in exponential families1
On IPW-based estimation of conditional average treatment effects1
High-dimensional variable screening through kernel-based conditional mean dependence1
Generating optimal order-of-addition designs with flexible run sizes1
Column-orthogonal nearly strong orthogonal arrays1
Empirical likelihood in single-index quantile regression with high dimensional and missing observations1
Optimal model averaging for semiparametric partially linear models with measurement errors1
An algorithm for searching optimal variance component estimators in linear mixed models1
Saturated and supersaturated order-of-addition designs1
Representative points for distribution recovering1
Non-asymptotic model selection for models of network data with parameter vectors of increasing dimension1
A numerical method to obtain exact confidence intervals for likelihood-based parameter estimators1
Regression models for circular data based on nonnegative trigonometric sums1
Optimal designs for some bivariate cokriging models1
Evaluation of early phase dose finding algorithms in heterogeneous populations1
Editorial Board1
A note on estimation of α-stable CARMA processes sampled at low freq1
On schematic orthogonal arrays of high strength1
A stable sequential multiple test for Koopman–Darmois family1
Testing hypotheses about covariance matrices in general MANOVA designs1
Optimal and efficient designs for fMRI experiments via two-level circulant almost orthogonal arrays1
Construction of optimal supersaturated designs by the expansive replacement method1
Anisotropic multivariate deconvolution using projection on the Laguerre basis1
A new First-Order mixture integer-valued threshold autoregressive process based on binomial thinning and negative binomial thinning1
Optimal design for estimating the mean ability over time in repeated item response testing1
Change-detection-assisted multiple testing for spatiotemporal data1
K-sign depth: From asymptotics to efficient implementation1
Editorial Board1
Further results on controlling the false discovery rate under some complex grouping structure of hypotheses1
Convergence guarantees for forward gradient descent in the linear regression model1
Editorial Board1
A dynamic count process1
Semiparametric inference for merged data from multiple data sources1
Invariant density adaptive estimation for ergodic jump–diffusion processes over anisotropic classes1
Time changes and stationarity issues for extended scalar autoregressive models1
Posterior contraction in group sparse logit models for categorical responses1
Entropic regularization of neural networks: Self-similar approximations1
Preserving projection properties when regular two-level designs are blocked1
Results on constructing sn1
Jackknife empirical likelihood confidence intervals for the categorical Gini correlation1
Efficient inference of parent-of-origin effect using case-control mother–child genotype data1
The impact of misclassification on covariate-adaptive randomized clinical trials with generalized linear models1
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