OOIR: Observatory of International Research

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 2022-08-01 to 2026-08-01.)

Article	Citations
On misspecification in cusp-type change-point models	23
A Quasi-Bayesian change point detection with exchangeable weights	20
Generalized accelerated failure time model with censored data from case-cohort studies	20
A criterion for estimating the largest linear homoscedastic zone in Gaussian data	12
Distributed eQTL analysis with auxiliary information	12
Accelerated failure time model under dependent truncated data	10
Robust Integrative Analysis via Quantile Regression with Homogeneity and Sparsity	9
Minimax designs for partially linear models	9
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting	9
Column expanded Latin hypercube designs	9
Goodness-of-fit test for partial functional linear model with errors in scalar covariates	9
Exchangeable Bernoulli distributions: High dimensional simulation, estimation, and testing	8
Subgroup analysis for the functional linear model	8
Evaluation of diagnostic biomarkers: A comparative analysis by area under the receiver operating characteristic curve	8
A selective review of sufficient dimension reduction for multivariate response regression	8
Resampling techniques for a class of smooth, possibly data-adaptive empirical copulas	7
Zero-modified count time series with Markovian intensities	7
Semiparametric regression modeling of the global percentile outcome	7
Local linear regression with nonparametrically generated covariates for weakly dependent data	7
On deriving Liouville process from Liouville distribution and its application in nonparametric Bayesian inference	7
Model robust hybrid likelihood	7
Estimation for the Cox model with biased sampling data via risk set sampling	7
Editorial Board	6
Maximum Projection Gini Correlation (MaGiC) for mixed categorical and numerical data	6
Overlap weight and propensity score residual for heterogeneous effects: A review with extensions	6

Shifted BH methods for controlling false discovery rate in multiple testing of the means of correlated normals against two-sided alternatives	6
Stable convergence of conditional least squares estimators for supercritical continuous state and continuous time branching processes with immigration	6
Generalized Bayes estimators with closed forms for the normal mean and covariance matrices	6
Hermite regression estimation in noisy convolution model	6
Assessing goodness-of-fit for sparse categories using Rényi divergence	6
S -l	6
Optimal s-level fractional factorial designs under baseline parameterization	6
Copula-based bivariate binomial ARCH(p,q	6
Model checking for parametric single-index models with massive datasets	5
A new filtering inference procedure for a GED state-space volatility model	5
U-statistic based on overlapping sample spacings	5
Mixed-integer linear programming for computing optimal experimental designs	5
Modelling and parameter estimation for discretely observed fractional iterated Ornstein–Uhlenbeck processes	5
Causal inference in early phase clinical trials: Variance decomposition and order of patient inclusion	5
Regression analysis of longitudinal data with mixed synchronous and asynchronous longitudinal covariates	5
Oracle-efficient estimation and global inferences for variance function of functional data	5
The proximal bootstrap for constrained estimators	5
Approximating the operating characteristics of Bayesian Uncertainty directed trial Designs	5
A comparison of likelihood-based methods for size-biased sampling	5
A modelling framework for regression with collinearity	5
Z-valued time series: Models, propertie	5
Uniformly more powerful tests for a subset of the components of a Normal Mean Vector	5
Privacy-preserving estimation for non-randomly distributed data	4
Orthogonal Latin hypercube designs with hidden low-dimensional projection	4
Deep learning for ψ-weakly dependent processes	4
Uniformly valid inference for partially linear high-dimensional single-index models	4
Some clustering-based change-point detection methods applicable to high dimension, low sample size data	4
Editorial Board	4
Fast and asymptotically-efficient estimation in an autoregressive process with fractional type noise	4
Editorial Board	4
Marginally constrained nonparametric Bayesian inference through Gaussian processes	4
Editorial Board	4
Pursuing sparsity and homogeneity for multi-source high-dimensional current status data	4
Mallows model averaging based on kernel regression imputation with responses missing at random	4
A smoothed p-value test when there is a nuisance parameter under the alternative	4
Penalised t-walk MCMC	4
Poisson limit theorems for the Cressie–Read statistics	4
Editorial Board	4
New perspectives on knockoffs construction	4
The two-sample location shift model under log-concavity	4
A new non-parametric estimation of the expected shortfall for dependent financial losses	3
Statistical inference for wavelet curve estimators of symmetric positive definite matrices	3
Homogeneity testing under finite mixtures of multivariate Poisson distributions	3
Designs for half-diallel experiments with commutative orthogonal block structure	3
Statistical inference in factor analysis for diffusion processes from discrete observations	3
Mixed latent graphical models with mixed measurement error and misclassification in variables	3
Statistical inference from partially nominated sets: An application to estimating the prevalence of osteoporosis among adult women	3
Local polynomial smoothing based on the Kaplan–Meier estimate	3
Proximal operator for the sorted ℓ	3
A class of mixed-level amplified designs and their space-filling properties	3

Variable selection with the knockoffs: Composite null hypotheses	3
A multidimensional objective prior distribution from a scoring rule	3
Testing the equality of distributions using integrated maximum mean discrepancy	3
A general Bayesian bootstrap for censored data based on the beta-Stacy process	3
Uniformity pattern and uniform projection designs based on absolute discrepancy	3
Model averaging prediction for survival data with time-dependent effects	3
Editorial Board	3
Multiple testing in genome-wide association studies via hierarchical hidden Markov models	3