Journal of Statistical Planning and Inference

Papers
(The TQCC of Journal of Statistical Planning and Inference is 3. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
On misspecification in cusp-type change-point models21
Generalized accelerated failure time model with censored data from case-cohort studies19
A Quasi-Bayesian change point detection with exchangeable weights15
Distributed eQTL analysis with auxiliary information11
A criterion for estimating the largest linear homoscedastic zone in Gaussian data11
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting10
Accelerated failure time model under dependent truncated data10
Goodness-of-fit test for partial functional linear model with errors in scalar covariates9
Column expanded Latin hypercube designs9
Robust Integrative Analysis via Quantile Regression with Homogeneity and Sparsity9
Minimax designs for partially linear models9
Subgroup analysis for the functional linear model8
A selective review of sufficient dimension reduction for multivariate response regression8
Resampling techniques for a class of smooth, possibly data-adaptive empirical copulas8
Model robust hybrid likelihood7
Stable convergence of conditional least squares estimators for supercritical continuous state and continuous time branching processes with immigration7
S -l7
Generalized Bayes estimators with closed forms for the normal mean and covariance matrices7
Evaluation of diagnostic biomarkers: A comparative analysis by area under the receiver operating characteristic curve7
Overlap weight and propensity score residual for heterogeneous effects: A review with extensions7
Editorial Board7
Maximum Projection Gini Correlation (MaGiC) for mixed categorical and numerical data7
Local linear regression with nonparametrically generated covariates for weakly dependent data7
Semiparametric regression modeling of the global percentile outcome7
Exchangeable Bernoulli distributions: High dimensional simulation, estimation, and testing7
Estimation for the Cox model with biased sampling data via risk set sampling7
Whittle parameter estimation for vector ARMA models with heavy-tailed noises7
Assessing goodness-of-fit for sparse categories using Rényi divergence6
Approximating the operating characteristics of Bayesian Uncertainty directed trial Designs6
Optimal s-level fractional factorial designs under baseline parameterization6
Copula-based bivariate binomial ARCH(p,q6
Causal inference in early phase clinical trials: Variance decomposition and order of patient inclusion6
Hermite regression estimation in noisy convolution model6
Shifted BH methods for controlling false discovery rate in multiple testing of the means of correlated normals against two-sided alternatives6
Weighted empirical minimum distance estimators in linear errors-in-variables regression models6
Zero-modified count time series with Markovian intensities6
Editorial Board6
U-statistic based on overlapping sample spacings5
Model checking for parametric single-index models with massive datasets5
Regression analysis of longitudinal data with mixed synchronous and asynchronous longitudinal covariates5
Uniformly more powerful tests for a subset of the components of a Normal Mean Vector5
The two-sample location shift model under log-concavity5
A comparison of likelihood-based methods for size-biased sampling5
Z-valued time series: Models, propertie5
Mixed-integer linear programming for computing optimal experimental designs5
New perspectives on knockoffs construction5
A modelling framework for regression with collinearity5
Modelling and parameter estimation for discretely observed fractional iterated Ornstein–Uhlenbeck processes5
A new filtering inference procedure for a GED state-space volatility model5
Oracle-efficient estimation and global inferences for variance function of functional data5
The proximal bootstrap for constrained estimators5
Some clustering-based change-point detection methods applicable to high dimension, low sample size data5
Statistical inference from partially nominated sets: An application to estimating the prevalence of osteoporosis among adult women4
A general Bayesian bootstrap for censored data based on the beta-Stacy process4
Statistical inference for wavelet curve estimators of symmetric positive definite matrices4
Testing the equality of distributions using integrated maximum mean discrepancy4
Fast and asymptotically-efficient estimation in an autoregressive process with fractional type noise4
Editorial Board4
Editorial Board4
Editorial Board4
Marginally constrained nonparametric Bayesian inference through Gaussian processes4
Local polynomial smoothing based on the Kaplan–Meier estimate4
Poisson limit theorems for the Cressie–Read statistics4
A new non-parametric estimation of the expected shortfall for dependent financial losses4
Privacy-preserving estimation for non-randomly distributed data4
Mallows model averaging based on kernel regression imputation with responses missing at random4
Penalised t-walk MCMC4
Orthogonal Latin hypercube designs with hidden low-dimensional projection4
Proximal operator for the sorted 4
Deep learning for ψ-weakly dependent processes4
Editorial Board4
A smoothed p-value test when there is a nuisance parameter under the alternative4
Uniformly valid inference for partially linear high-dimensional single-index models4
Pursuing sparsity and homogeneity for multi-source high-dimensional current status data4
A multidimensional objective prior distribution from a scoring rule3
Designs for half-diallel experiments with commutative orthogonal block structure3
Variable selection with the knockoffs: Composite null hypotheses3
A monotone frequentist measure of evidence for testing variance components in linear mixed models3
Self-weighted estimation for nonstationary processes with infinite variance GARCH errors3
Editorial Board3
Measures of conditional dependence for nonlinearity, asymmetry and beyond3
Multiple testing in genome-wide association studies via hierarchical hidden Markov models3
Mixed latent graphical models with mixed measurement error and misclassification in variables3
A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data3
Asymptotic uncertainty quantification for communities in sparse planted bi-section models3
Bayesian analysis of nonparanormal graphical models using rank-likelihood3
Statistical inference in factor analysis for diffusion processes from discrete observations3
Model averaging prediction for survival data with time-dependent effects3
Editorial Board3
Convergent stochastic algorithm for estimation in general multivariate correlated frailty models using integrated partial likelihood3
Feature selection in ultrahigh-dimensional additive models with heterogeneous frequency component functions3
Inference for trend functions in partially linear models3
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