Journal of Statistical Planning and Inference

Article	Citations
Deterministic construction methods for uniform designs	17
A note on the construction of incomplete row–column designs: An algorithmic approach	15
Editorial Board	15
Distributed eQTL analysis with auxiliary information	14
Properties of Fisher information gain for Bayesian design of experiments	13
Portmanteau-type test for unit root with heavy-tailed noise	13
A criterion for estimating the largest linear homoscedastic zone in Gaussian data	13
Asymptotic efficiency of the calibration estimator in a high-dimensional data setting	12
Editorial Board	10
Nonparametric methods for clustered data in pre-post intervention design	10
Editorial Board	10
A Quasi-Bayesian change point detection with exchangeable weights	10
Deep learning for ψ-weakly dependent processes	9
Column-orthogonal nearly strong orthogonal arrays	9
Multiplier subsample bootstrap for statistics of time series	8
Editorial Board	8
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting	8
Adjusted maximum likelihood method for multivariate Fay–Herriot model	7
Removing inessential points in c-and 7
Estimation in functional single-index varying coefficient model	7
On optimal fMRI designs for correlated errors	7
Optimal designs for mean–covariance models with missing observations	7
Gibbs posterior inference on multivariate quantiles	7
Estimation of a distribution function with increasing failure rate average	7
Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate	7

Testing the skewness of skew-normal distribution by Bayes factors	6
A test for second-order stationarity of a time series based on the maximum of Anderson–Darling statistics	6
Goodness-of-fit test for partial functional linear model with errors in scalar covariates	5
Construction of 2fi-optimal row–column designs	5
Adaptive nonparametric estimation of a component density in a two-class mixture model	5
Statistical inference from partially nominated sets: An application to estimating the prevalence of osteoporosis among adult women	5
Testing higher and infinite degrees of stochastic dominance for small samples: A Bayesian approach	5
Model-free, monotone invariant and computationally efficient feature screening with data-adaptive threshold	5
Graph signal denoising usingt-shrinkage priors	5
A note on estimation of α-stable CARMA processes sampled at low freq	5
Column expanded Latin hypercube designs	5
An empirical likelihood-based unified test for the integer-valued AR(1) models	5
LAMN property for jump diffusion processes with discrete observations on a fixed time interval	5
A new approach for ultrahigh dimensional precision matrix estimation	4
An adaptive group LASSO approach for domain selection in functional generalized linear models	4
Informed censoring: The parametric combination of data and expert information	4
Generalized accelerated failure time model with censored data from case-cohort studies	4
Generating optimal order-of-addition designs with flexible run sizes	4
A new non-parametric estimation of the expected shortfall for dependent financial losses	4
Construction on large four-level designs via quaternary codes	4
Poisson limit theorems for the Cressie–Read statistics	4
Inference on regression model with misclassified binary response	4
Reduced-bias estimation of the extreme conditional tail expectation for Box–Cox transforms of heavy-tailed distributions	4
A modification of MaxT procedure using spurious correlations	4
Bayesian predictive density estimation for a Chi-squared model using information from a normal observation with unknown mean and variance	4
Scale tests for a multilevel step-stress model with exponential lifetimes under Type-II censoring	4
Robust Integrative Analysis via Quantile Regression with Homogeneity and Sparsity	4
Construction of component orthogonal arrays with any number of components	4
Exact model comparisons in the plausibility framework	4
Regression to the mean for overdispersed count data	3
Locally adaptive sparse additive quantile regression model with TV penalty	3
An integrative framework for geometric and hidden projections in three-level fractional factorial designs	3
Local polynomial smoothing based on the Kaplan–Meier estimate	3
M-type penalized splines with auxiliary scale estimation	3
Robust estimation of a regression function in exponential families	3
Semiparametric estimation for average causal effects using propensity score-based spline	3
Statistical inference for wavelet curve estimators of symmetric positive definite matrices	3
The effects of adaptation on maximum likelihood inference for nonlinear models with normal errors	3
Time changes and stationarity issues for extended scalar autoregressive models	3
Detecting non-isomorphic orthogonal design	3
Proximal operator for the sortedℓ	3
Resampling techniques for a class of smooth, possibly data-adaptive empirical copulas	3
Asymptotically most powerful tests for random number generators	3
Fast construction of efficient two-level parallel flats designs	3
Evaluation of early phase dose finding algorithms in heterogeneous populations	3
Invariant density adaptive estimation for ergodic jump–diffusion processes over anisotropic classes	3
Editorial Board	3
Multimatricvariate distribution under elliptical models	3
Semiparametric regression modeling of the global percentile outcome	3
On card guessing with two types of cards	3

A scalable surrogate L0	3
Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates	3
A new user specific multiple testing method for business applications: The SiMaFlex procedure	3
Analysis of odds, probability, and hazard ratios: From 2 by 2 tables to two-sample survival data	2
Optimal designs for some bivariate cokriging models	2
Toward improved inference for Krippendorff’s Alpha agreement coefficient	2
Semiparametric inference for merged data from multiple data sources	2
Semiparametric Bayesian doubly robust causal estimation	2
Regularized matrix-variate logistic regression with response subject to misclassification	2
Construction of high-dimensional high-separation distance designs	2
A systematic construction of compromise designs under baseline parameterization	2
A dynamic count process	2
On energy tests of normality	2
Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net	2
Semi-parametric homogeneity test and sample size calculation for a two-sample problem under an inequality constraint	2
High-dimensional variable screening through kernel-based conditional mean dependence	2
Construction of optimal supersaturated designs by the expansive replacement method	2
Testing hypotheses about covariance matrices in general MANOVA designs	2
Jackknife empirical likelihood confidence intervals for the categorical Gini correlation	2
Bi-s∗	2
Results on constructing sn	2
General minimum lower-order confounding split-plot designs with important whole-plot factors	2
A new First-Order mixture integer-valued threshold autoregressive process based on binomial thinning and negative binomial thinning	2
Two-sample Behrens–Fisher problems for high-dimensional data: A normal reference approach	2
Representative points for distribution recovering	2
Exchangeable Bernoulli distributions: High dimensional simulation, estimation, and testing	2
A selective review of sufficient dimension reduction for multivariate response regression	2
Optimal rerandomization designs via a criterion that provides insurance against failed experiments	2
Inference for seemingly unrelated linear mixed models	2
Optimal crossover designs for inference on total effects	2
Generalized linear–quadratic model with a change point due to a covariate threshold	2
High-dimensional asymptotic expansion of the null distribution for L<	2
Nonparametric inference for distribution functions with stratified samples	2
Estimating change-point latent factor models for high-dimensional time series	2
Estimating diffusion with compound Poisson jumps based on self-normalized residuals	2
Analytical approach for designing accelerated degradation tests under an exponential dispersion model	2
Choice of smoothing parameter in multivariate copula-based tail coefficients	2
Augmented projection Wasserstein distances: Multi-dimensional projection with neural surface	2
Robust active learning with binary responses	2
Optimal model averaging estimator for expectile regressions	2
Efficient inference of parent-of-origin effect using case-control mother–child genotype data	2
Uniformity of saturated orthogonal arrays	2
A sequential approach to feature selection in high-dimensional additive models	2
A general Bayesian bootstrap for censored data based on the beta-Stacy process	2
An orthogonally equivariant estimator of the covariance matrix in high dimensions and for small sample sizes	2
Subgroup analysis for the functional linear model	2
Editorial Board	1
Self-normalized inference for stationarity of irregular spatial data	1
A modelling framework for regression with collinearity	1
Estimation for the Cox model with biased sampling data via risk set sampling	1
Anisotropic multivariate deconvolution using projection on the Laguerre basis	1
Asymptotic results with estimating equations for time-evolving clustered data	1
Stable convergence of conditional least squares estimators for supercritical continuous state and continuous time branching processes with immigration	1
Maximum likelihood estimation of sparse networks with missing observations	1
Convergence rate of plugin estimates for functional parameters with applications to locally-stationary time-series	1
A new filtering inference procedure for a GED state-space volatility model	1
A nonparametric measure of heteroskedasticity	1
Hypothesis testing for Panels of Semi-Markov Processes with parametric sojourn time distributions	1
Optimal finite sample post-selection confidence distributions in generalized linear models	1
Regression models for circular data based on nonnegative trigonometric sums	1
Construction of uniform projection designs via level permutation and expansion	1
Whittle parameter estimation for vector ARMA models with heavy-tailed noises	1
Density estimation of a mixture distribution with unknown point-mass and normal error	1
A graph decomposition-based approach for the graph-fused lasso	1
The properties of entropy as a measure of randomness in a clinical trial	1
Simultaneous inference for partial areas under receiver operating curves—With a view towards efficiency	1
Designs for half-diallel experiments with commutative orthogonal block structure	1
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks	1
Some results for stochastic orders and aging properties related to the Laplace transform	1
Feature selection in ultrahigh-dimensional additive models with heterogeneous frequency component functions	1
Editorial Board	1
Variance estimation and confidence intervals from genome-wide association studies through high-dimensional misspecified mixed model analysis	1
D-optimal designs for estimation of parameters in a simplex disper	1
Multiple testing in genome-wide association studies via hierarchical hidden Markov models	1
Fitting time series models for longitudinal surveys with nonignorable missing data	1
Approximate I-optimal designs for polynomial models over the unit	1
Uniform semi-Latin squares and their pairwise-variance aberrations	1
Zero-modified count time series with Markovian intensities	1
On the ruin probabilities for a general perturbed renewal risk process	1
Outcome-adjusted balance measure for generalized propensity score model selection	1

A numerical method to obtain exact confidence intervals for likelihood-based parameter estimators	1
On IPW-based estimation of conditional average treatment effects	1
Overlap weight and propensity score residual for heterogeneous effects: A review with extensions	1
Convergence guarantees for forward gradient descent in the linear regression model	1
A multidimensional objective prior distribution from a scoring rule	1
Hilbert space-valued fractionally integrated autoregressive moving average processes with long memory operators	1
Non-asymptotic model selection for models of network data with parameter vectors of increasing dimension	1
Multivariate expectile-based distribution: Properties, Bayesian inference, and applications	1
Entropic regularization of neural networks: Self-similar approximations	1
Model checking for parametric single-index models with massive datasets	1
Bayes oracle property of multiple tests of multivariate normal means under sparsity	1
Random and quasi-random designs in group testing	1
Editorial Board	1
Editorial Board	1
Higher-order approximate confidence intervals	1
Local linear regression with nonparametrically generated covariates for weakly dependent data	1
Marginal posterior distributions for regression parameters in the Cox model using Dirichlet and gamma process priors	1
Equivalence theorems for multiple-design problems with application in mixed models	1
Statistical inference in factor analysis for diffusion processes from discrete observations	1
Robust penalized empirical likelihood in high dimensional longitudinal data analysis	1
Variable selection with the knockoffs: Composite null hypotheses	1
Generalized Bayes estimators with closed forms for the normal mean and covariance matrices	1
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling	1
Construction of space-filling orthogonal designs	1
Estimation of a regression function on a manifold by fully connected deep neural networks	1
Exact confidence limits compatible with the result of a sequential trial	1
Asymptotic uncertainty quantification for communities in sparse planted bi-section models	1
A test for the identity of a high-dimensional correlation matrix based on the	1