Scandinavian Journal of Statistics

Papers
(The TQCC of Scandinavian Journal of Statistics 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 2021-03-01 to 2025-03-01.)
ArticleCitations
22
A novel semiparametric approach to nonignorable missing data by catching covariate marginal information21
13
10
State estimation for aoristic models10
Robust sure independence screening for nonpolynomial dimensional generalized linear models9
The Kendall and Spearman rank correlations of the bivariate skew normal distribution9
The effect of the working correlation on fitting models to longitudinal data6
Empirical and instance‐dependent estimation of Markov chain and mixing time5
5
Kernel mean embedding of probability measures and its applications to functional data analysis5
G‐optimal grid designs for kriging models4
Epistemic confidence in the observed confidence interval4
Posterior consistency for the spectral density of non‐Gaussian stationary time series4
Statistical inference for Cox proportional hazards models with a diverging number of covariates4
Issue Information4
Adaptive estimation of intensity in a doubly stochastic Poisson process4
Semiparametric estimation and model selection for conditional mixture copula models4
Some mechanisms leading to underdispersion: Old and new proposals4
Conditional Monte Carlo revisited4
Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths3
A conversation with Nils Lid Hjort3
Issue Information3
Transform orders and stochastic monotonicity of statistical functionals3
Issue Information3
Divergence versus decisionP‐values: A distinction worth making in theory and keeping in practice: Or, how divergenceP‐values measure evidence even when decisionP‐values do not3
Asymptotic inference of the ARMA model with time‐functional variance noises3
Nonparametric estimation of densities on the hypersphere using a parametric guide3
Partial correlation graphical LASSO3
Flexible clustering via hidden hierarchical Dirichlet priors3
Regression‐based network‐flow and inner‐matrix reconstruction3
Empirical best prediction of small area bivariate parameters3
Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”)3
3
Maximum likelihood estimator for skew Brownian motion: The convergence rate3
Robust optimal estimation of location from discretely sampled functional data3
Copula measures and Sklar's theorem in arbitrary dimensions3
On some publications of Sir David Cox3
Stable inverse probability weighting estimation for longitudinal studies3
Editorial2
Covariance‐based soft clustering of functional data based on the Wasserstein–Procrustes metric2
Learning the two parameters of the Poisson–Dirichlet distribution with a forensic application2
Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty2
Extrapolation estimation for nonparametric regression with measurement error2
Communication‐efficient low‐dimensional parameter estimation and inference for high‐dimensional Lp$$ {L}^p $$‐quantile regression2
Daisee: Adaptive importance sampling by balancing exploration and exploitation2
Efficient inference of longitudinal/functional data models with time‐varying additive structure2
Discussion of “Divergence vs. Decision P$$ P $$‐values: A Distinction Worth Making in Theory and Keeping in Practice – or, How Divergence P$$ P $$‐values Measure Evidence Even When Decision P$$ P $$‐v2
Bayesian nonparametric estimation in the current status continuous mark model2
Editorial2
Efficient t0$$ {t}_0 $$‐year risk regression using the logistic model2
Flexible specification testing in quantile regression models2
Two‐part D‐vine copula models for longitudinal insurance claim data2
Nonparametric adaptive estimation for interacting particle systems2
Sparse concordance‐based ordinal classification2
2
Dimension‐independent Markov chain Monte Carlo on the sphere2
A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes2
Regularized t$$ t $$ distribution: definition, properties, and applications2
Multivariate quantiles with both overall and directional probability interpretation2
4th Workshop on Goodness‐of‐Fit, Change‐Point, and Related Problems, Trento, 20192
Comments on Divergence vs. Decision P‐values2
Enriched Pitman–Yor processes2
A special section honoring Nils Lid Hjort1
Exact uniformly most powerful postselection confidence distributions1
Confidence bands for survival curves from outcome‐dependent stratified samples1
Model‐based clustering in simple hypergraphs through a stochastic blockmodel1
Adjusted location‐invariant U‐tests for the covariance matrix with elliptically high‐dimensional data1
Asymptotic theory for statistics based on cumulant vectors with applications1
Approximate reference priors for Gaussian random fields1
A robust model averaging approach for partially linear models with responses missing at random1
Identification and estimation of threshold matrix‐variate factor models1
Issue Information1
Model‐assisted analysis of covariance estimators for stepped wedge cluster randomized experiments1
Issue Information1
Remove unwanted variation retrieves unknown experimental designs1
Robust Lasso‐Zero for sparse corruption and model selection with missing covariates1
Lancaster correlation: A new dependence measure linked to maximum correlation1
Plug‐in machine learning for partially linear mixed‐effects models with repeated measurements1
Inference for all variants of the multivariate coefficient of variation in factorial designs1
Improper priors and improper posteriors1
Locally correct confidence intervals for a binomial proportion: A new criteria for an interval estimator1
Sparse additive models in high dimensions with wavelets1
Frequentist model averaging for envelope models1
Estimation of treatment effect among treatment responders with a time‐to‐event endpoint1
Expectile‐based measures of skewness1
Bayesian mixture models (in)consistency for the number of clusters1
Cox processes driven by transformed Gaussian processes on linear networks—A review and new contributions1
Multistate analysis of multitype recurrent event and failure time data with event feedbacks in biomarkers1
Envelopes for multivariate linear regression with linearly constrained coefficients1
Empirical likelihood M‐estimation for the varying‐coefficient model with functional response1
Issue Information1
Minimax estimation of functional principal components from noisy discretized functional data1
Statistical evidence and surprise unified under possibility theory1
Tobit models for count time series1
Estimating absorption time distributions of general Markov jump processes1
On a computable Skorokhod's integral‐based estimator of the drift parameter in fractional SDE1
Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions1
Cutoff for a class of auto‐regressive models with vanishing additive noise1
Efficiency of naive estimators for accelerated failure time models under length‐biased sampling1
Greenland, S. (2023). Divergence vs. decision P‐values: A distinction worth making in theory and keeping in practice. Scandinavian Journal of Statistics, 50, 1–35, https://onlinelibrary.wiley.c1
Pitfalls of amateur regression: The Dutch New Herring controversies1
Sparse principal component analysis for high‐dimensional stationary time series1
Martingale posterior distributions for cumulative hazard functions1
Asymptotic properties of the maximum smoothed partial likelihood estimator in the change‐plane Cox model1
Bivariate change point detection: Joint detection of changes in expectation and variance1
Nearly unstable integer‐valued ARCH process and unit root testing1
Structure learning for continuous time Bayesian networks via penalized likelihood1
Accurate bias estimation with applications to focused model selection1
Modeling multivariate extreme value distributions via Markov trees1
Cramér‐von Mises tests for change points1
Issue Information1
Bayesian inverse problems with heterogeneous variance1
Issue Information1
Revisiting the sequence symmetry analysis design1
Prior distributions expressing ignorance about convex increasing failure rates1
A new class of nonparametric tests for second‐order stochastic dominance based on the Lorenz P–P plot1
Regularization in dynamic random‐intercepts models for analysis of longitudinal data1
Robust quasi‐randomization‐based estimation with ensemble learning for missing data1
Use of multiple imputation in supersampled nested case‐control and case‐cohort studies1
Corrigendum to “On the unification of families of skew‐normal distributions” published in Scand. J. Stat. vol. 33, pp. 561–5741
Large‐scale simultaneous inference under dependence1
Multivariate geometric anisotropic Cox processes1
Asymptotically faster estimation of high‐dimensional additive models using subspace learning1
Testing for time‐varying nonlinear dependence structures: Regime‐switching and local Gaussian correlation1
Multiply robust estimators of causal effects for survival outcomes1
Factorized estimation of high‐dimensional nonparametric covariance models1
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