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 2020-09-01 to 2024-09-01.)
ArticleCitations
Information-based optimal subdata selection for big data logistic regression18
Parametric estimation for a parabolic linear SPDE model based on discrete observations15
Construction of component orthogonal arrays with any number of components14
Two-sample Behrens–Fisher problems for high-dimensional data: A normal reference approach14
Two-sample nonparametric test for comparing mean time to failure functions in age replacement13
A brief review of linear sufficient dimension reduction through optimization13
Simultaneous confidence bands for functional data using the Gaussian Kinematic formula12
Normalized power prior Bayesian analysis12
Model-free posterior inference on the area under the receiver operating characteristic curve12
Projection pursuit based tests of normality with functional data11
Piecewise autoregression for general integer-valued time series11
Constructing minimum aberration split-plot designs via complementary sets when the whole plot factors are important11
Generating optimal order-of-addition designs with flexible run sizes11
Tractable Bayesian density regression via logit stick-breaking priors10
Invariant density adaptive estimation for ergodic jump–diffusion processes over anisotropic classes10
A precise local limit theorem for the multinomial distribution and some applications10
Column-orthogonal nearly strong orthogonal arrays9
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling9
Ridge rerandomization: An experimental design strategy in the presence of covariate collinearity9
On energy tests of normality9
Estimation in functional single-index varying coefficient model8
Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces8
Construction of space-filling orthogonal designs8
Two-way ORDANOVA: Analyzing ordinal variation in a cross-balanced design7
Robust designs for generalized linear mixed models with possible model misspecification7
A test for second-order stationarity of a time series based on the maximum of Anderson–Darling statistics7
Support point of locally optimal designs for multinomial logistic regression models7
Testing for lack-of-fit in functional regression models against general alternatives7
Checking the adequacy of functional linear quantile regression model7
Minimax D-optimal designs for multivariate regression models with multi-factors7
A scalable surrogate L07
Asymptotic efficiency of the calibration estimator in a high-dimensional data setting7
Gibbs posterior inference on multivariate quantiles6
A Mann–Whitney test of distributional effects in a multivalued treatment6
M-type penalized splines with auxiliary scale estimation6
Goodness-of-fit tests for Markov Switching VAR models using spectral analysis6
Maximum likelihood estimation of sparse networks with missing observations6
Analytical approach for designing accelerated degradation tests under an exponential dispersion model6
Sequential online subsampling for thinning experimental designs6
Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates6
Multivariate non-central Birnbaum–Saunders kernel density estimator for nonnegative data5
Saturated and supersaturated order-of-addition designs5
Anisotropic multivariate deconvolution using projection on the Laguerre basis5
Optimal designs for some bivariate cokriging models5
Estimation of a distribution function with increasing failure rate average5
Jackknife empirical likelihood for the mean difference of two zero-inflated skewed populations5
A diagnostic for bias in linear mixed model estimators induced by dependence between the random effects and the corresponding model matrix5
Overlap weight and propensity score residual for heterogeneous effects: A review with extensions5
High-dimensional variable screening through kernel-based conditional mean dependence5
Bayesian tests for circular uniformity5
Fitting time series models for longitudinal surveys with nonignorable missing data5
Semiparametric estimation for average causal effects using propensity score-based spline5
Predictive density estimation under the Wasserstein loss5
On IPW-based estimation of conditional average treatment effects4
Efficient and direct estimation of the variance–covariance matrix in EM algorithm with interpolation method4
A regularization method for the parameter estimation problem in ordinary differential equations via discrete optimal control theory4
Exchangeable Bernoulli distributions: High dimensional simulation, estimation, and testing4
Efficient estimation in periodic INA4
Temporal aggregation and systematic sampling for INGARCH processes4
Variance estimation and confidence intervals from genome-wide association studies through high-dimensional misspecified mixed model analysis4
Estimation of mean squared prediction error of empirically spatial predictor of small area means under a linear mixed model4
Moderate deviations in a class of stable but nearly unstable processes4
Optimal bias correction of the log-periodogram estimator of the fractional parameter: A jackknife approach4
Estimating the proportion of true null hypotheses under dependency: A marginal bootstrap approach4
Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net4
Optimal finite sample post-selection confidence distributions in generalized linear models4
Tensor product splines and functional principal components4
Testing hypotheses about covariance matrices in general MANOVA designs4
Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate4
Generalization performance of Lagrangian support vector machine based on Markov sampling4
On large deviations for combinatorial sums4
Optimal experimental designs for treatment contrasts in heteroscedastic models with covariates3
Flexible binomial AR(1) processes using copulas3
Outcome-adjusted balance measure for generalized propensity score model selection3
Efficient analysis of time-to-event endpoints when the event involves a continuous variable crossing a threshold3
Whittle parameter estimation for vector ARMA models with heavy-tailed noises3
On the asymptotic behaviour of the variance estimator of a U-statisti3
Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk3
Correcting for linkage errors in contingency tables—A cautionary tale3
Corrected empirical Bayes confidence region in a multivariate Fay–Herriot model3
Joint estimation of heterogeneous exponential Markov Random Fields through an approximate likelihood inference3
Fixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processes3
Z-valued time series: Models, propertie3
Optimal rerandomization designs via a criterion that provides insurance against failed experiments3
A scan procedure for multiple testing: Beyond threshold-type procedures3
On the ruin probabilities for a general perturbed renewal risk process3
A likelihood-ratio type test for stochastic block models with bounded degrees3
Asymptotically most powerful tests for random number generators3
Rerandomization: A complement or substitute for stratification in randomized experiments?3
Estimation and inference in partially functional linear regression with multiple functional covariates3
Circular designs for total effects under interference models3
Uniform semi-Latin squares and their pairwise-variance aberrations3
Universally consistent estimation of the reach3
Construction of uniform projection designs via level permutation and expansion3
Using nonregular designs to generate space-filling designs3
Equivalence theorems for multiple-design problems with application in mixed models3
Group orthogonal greedy algorithm for change-point estimation of multivariate time series3
Bayesian predictive density estimation for a Chi-squared model using information from a normal observation with unknown mean and variance3
Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications3
K-sign depth: From asymptotics to efficient implementation3
Estimating change-point latent factor models for high-dimensional time series2
A Bayesian analysis of the matching problem2
Optimal model averaging estimator for expectile regressions2
Calculating degrees of freedom in multivariate local polynomial regression2
Results on constructing sn2
Asymptotic delay times of sequential tests based on U-statistics for 2
Adjusted maximum likelihood method for multivariate Fay–Herriot model2
A spectral approach to estimate the autocovariance function2
Testing for adequacy of seasonal adjustment in the frequency domain2
Unified statistical inference for a nonlinear dynamic functional/longitudinal data model2
Minimax estimation of a restricted mean for a one-parameter exponential family2
Variable selection in the Box–Cox power transformation model2
Bayesian change point detection for functional data2
A monotone frequentist measure of evidence for testing variance components in linear mixed models2
Reference priors viaα-divergence for a certain non-regular model in th2
Generalized Bayes estimators with closed forms for the normal mean and covariance matrices2
Generalized principal component analysis for moderately non-stationary vector time series2
A new user specific multiple testing method for business applications: The SiMaFlex procedure2
A bent line Tobit regression model with application to household financial assets2
Analysis of odds, probability, and hazard ratios: From 2 by 2 tables to two-sample survival data2
On seasonal functional modeling under strong dependence, with applications to mechanically ventilated breathing activity2
An adaptive group LASSO approach for domain selection in functional generalized linear models2
On expectile-assisted inverse regression estimation for sufficient dimension reduction2
Properties of Fisher information gain for Bayesian design of experiments2
New perspectives on knockoffs construction2
Covariate-adjusted response-adaptive designs for censored survival responses2
D-optimal augmented designs and the existence of tight orthogonal arrays with high strength2
Semiparametric two-sample admixture components comparison test: The symmetric case2
Simultaneous inference for partial areas under receiver operating curves—With a view towards efficiency2
Representative points for distribution recovering2
Jackknife empirical likelihood confidence intervals for the categorical Gini correlation2
Empirical likelihood in single-index quantile regression with high dimensional and missing observations2
Estimation of state-dependent jump activity and drift for Markovian semimartingales2
Model constraints independent optimal subsampling probabilities for softmax regression2
Robust active learning with binary responses2
Matrix variate Birnbaum–Saunders distribution under elliptical models2
On the meaning of block effects in paired comparison choice experiments and a relationship with blocked2
Adaptive controls of FWER and FDR under block dependence2
Poisson limit theorems for the Cressie–Read statistics2
Optimal sparse eigenspace and low-rank density matrix estimation for quantum systems2
SYMARFIMA: A dynamical model for conditionally symmetric time series with long range dependence mean structure2
The properties of entropy as a measure of randomness in a clinical trial2
The limits of the sample spiked eigenvalues for a high-dimensional generalized Fisher matrix and its applications2
On distributions with fixed marginals maximizing the joint or the prior default probability, estimation, and related results2
Optimal model averaging for semiparametric partially linear models with measurement errors1
Graph signal denoising using t-shrinkage priors1
Optimal designs for comparing curves in regression models with asymmetric errors1
A nonparametric measure of heteroskedasticity1
Bregman divergence to generalize Bayesian influence measures for data analysis1
Weighted empirical minimum distance estimators in linear errors-in-variables regression models1
New robust confidence intervals for the mean under dependence1
Adaptively robust high-dimensional matrix factor analysis under Huber loss function1
The effects of adaptation on maximum likelihood inference for nonlinear models with normal errors1
Restricted estimation of the cumulative incidence functions of two competing risks1
Maximum-type tests for high-dimensional regression coefficients using Wilcoxon scores1
Evaluation of early phase dose finding algorithms in heterogeneous populations1
Efficient empirical likelihood inference for recovery rate of COVID19 under double-censoring1
Comparing adaptive interventions under a general sequential multiple assignment randomized trial design via multiple comparisons with the best1
Semiparametric inference for merged data from multiple data sources1
Adaptive testing method for ergodic diffusion processes based on high frequency data1
Hilbert space-valued fractionally integrated autoregressive moving average processes with long memory operators1
A selective review of sufficient dimension reduction for multivariate response regression1
A global test for heteroscedastic one-way FMANOVA with applications1
Frequentist model averaging under inequality constraints1
Semiparametric regression modeling of the global percentile outcome1
Statistical analysis of concentric objects estimation problem under the heteroscedastic Berman model1
Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals1
On the nature of saturated 2k1
Adaptive nonparametric estimation of a component density in a two-class mixture model1
Increasing cluster size asymptotics for nested error regression models1
On optimal fMRI designs for correlated errors1
Information content of stepped wedge designs under the working independence assumption1
Exact model comparisons in the plausibility framework1
A review of Brown 1971 (in)admissibility results under scale mixtures of Gaussian priors1
A non-parametric solution to the multi-armed bandit problem with covariates1
Optimal subsampling for the Cox proportional hazards model with massive survival data1
Robust estimation of nonparametric function via addition sequence1
Optimal and efficient designs for fMRI experiments via two-level circulant almost orthogonal arrays1
U-statistic based on overlapping sample spacings1
Generalized linear–quadratic model with a change point due to a covariate threshold1
Estimation of the inverse scatter matrix for a scale mixture of Wishart matrices under Efron–Morris type losses1
Estimation of a regression function on a manifold by fully connected deep neural networks1
On card guessing with two types of cards1
Optimality regions for designs in multiple linear regression models with correlated random coefficients1
Zero-modified count time series with Markovian intensities1
An integrative framework for geometric and hidden projections in three-level fractional factorial designs1
A new variant of the parallel regression model with variable selection in surveys with sensitive attribute1
Uniformity of saturated orthogonal arrays1
A Bayesian stochastic approximation method1
An integrated precision matrix estimation for multivariate regression problems1
Posterior contraction in group sparse logit models for categorical responses1
General minimum lower-order confounding split-plot designs with important whole-plot factors1
Properties of increasing odds rate distributions with a statistical application1
Estimation of a partially linear additive model with generated covariates1
Change-detection-assisted multiple testing for spatiotemporal data1
Deterministic construction methods for uniform designs1
On classical and Bayesian asymptotics in stochastic differential equations with random effects having mixture normal distributions1
Statistical inference of locally stationary functional coefficient models1
Generic E-variables for exact sequential k-sample tests that allow 1
Nonparametric methods for clustered data in pre-post intervention design1
Improved variance estimation for inequality-constrained domain mean estimators using survey data1
An orthogonally equivariant estimator of the covariance matrix in high dimensions and for small sample sizes1
Simultaneous inference of the partially linear model with a multivariate unknown function1
Robust penalized empirical likelihood in high dimensional longitudinal data analysis1
Bayesian nonparametrics for directional statistics1
Modelling and parameter estimation for discretely observed fractional iterated Ornstein–Uhlenbeck processes1
Local polynomial smoothing based on the Kaplan–Meier estimate1
Testing hypothesis on transition distributions of a Markov sequence1
A sequential approach to feature selection in high-dimensional additive models1
A new First-Order mixture integer-valued threshold autoregressive process based on binomial thinning and negative binomial thinning1
Graph-based estimators for paired comparison data1
Regression models for circular data based on nonnegative trigonometric sums1
Bi-s1
The Hyvärinen scoring rule in Gaussian linear time series models1
A faster U-statistic for testing independence in the functional linear models1
Semiparametric Bayesian doubly robust causal estimation1
Sliced symmetrical Latin hypercube designs1
Choice of smoothing parameter in multivariate copula-based tail coefficients1
Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation1
A new non-parametric estimation of the expected shortfall for dependent financial losses1
Constructions for regular-graph semi-Latin rectangles with block size two1
Testing higher and infinite degrees of stochastic dominance for small samples: A Bayesian approach1
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