Scandinavian Journal of Statistics

Papers
(The TQCC of Scandinavian Journal of Statistics is 2. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
A novel semiparametric approach to nonignorable missing data by catching covariate marginal information37
Robust optimal estimation of location from discretely sampled functional data25
Sparse Fréchet sufficient dimension reduction with graphical structure among predictors18
Issue Information15
Kernel mean embedding of probability measures and its applications to functional data analysis10
On some publications of Sir David Cox9
Empirical best prediction of small area bivariate parameters9
Asymptotic inference of the ARMA model with time‐functional variance noises9
9
Sparse concordance‐based ordinal classification8
A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes8
Editorial8
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.c7
Plug‐in machine learning for partially linear mixed‐effects models with repeated measurements7
Sparse principal component analysis for high‐dimensional stationary time series7
Nonparametric adaptive estimation for interacting particle systems7
Estimating absorption time distributions of general Markov jump processes6
A joint estimation approach for monotonic regression functions in general dimensions6
Revisiting the sequence symmetry analysis design6
Testing relevant hypotheses in functional variance function via self‐normalization6
Lancaster correlation: A new dependence measure linked to maximum correlation6
Statistical inference in the presence of imputed survey data through regression trees and random forests6
Bandwidth selection for kernel intensity estimators for spatial point processes6
Professor Elja Arjas: A prominent figure in establishing statistics in Finland5
Pointwise comparison of two multivariate density functions5
Confidence intervals in monotone regression5
Interactions and computer experiments5
Weighted reduced rank estimators under cointegration rank uncertainty4
Consistent Bayesian information criterion based on a mixture prior for possibly high‐dimensional multivariate linear regression models4
Construction of maximum projection Latin hypercube designs using number‐theoretic methods4
4
A general framework on conditions for constraint‐based causal learning4
Distorted distributions and ROC curves4
Corrigendum to “Shannon Entropy and Mutual Information for Multivariate Skew‐Elliptical Distributions” published in Scandinavian Journal of Statistics (2013), vol. 40, pp. 42–624
On high‐dimensional variance estimation in survey sampling4
Mahalanobis balancing: A multivariate perspective on approximate covariate balancing4
Deep neural network classifier for multidimensional functional data4
Selection of linear mixed‐effects models for clustered data4
3
Consistent covariances estimation for stratum imbalances under minimization method for covariate‐adaptive randomization3
Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths3
A proper concordance index for models with crossing hazards3
Regularized t$$ t $$ distribution: definition, properties, and applications3
Learning the two parameters of the Poisson–Dirichlet distribution with a forensic application3
A special section honoring Nils Lid Hjort3
Log‐density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods3
3
3
Nonparametric estimation of path‐specific effects in the presence of nonignorable missing covariates3
Covariance‐based soft clustering of functional data based on the Wasserstein–Procrustes metric3
Learning under commission and omission event outliers3
Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”)3
Semiparametric regression with localized Bregman divergence3
Empirical and instance‐dependent estimation of Markov chain and mixing time3
Adjusted location‐invariant U‐tests for the covariance matrix with elliptically high‐dimensional data3
Bayesian nonparametric estimation in the current status continuous mark model3
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$$ P $$‐v3
Statistical disaggregation—A Monte Carlo approach for imputation under constraints3
Distributed inference for two‐sample U‐statistics in massive data analysis2
2
Asymptotic properties of the maximum smoothed partial likelihood estimator in the change‐plane Cox model2
Collapsibility of the Conditional Models of CG‐Graphical Models2
A comprehensive framework for evaluating time to event predictions using the restricted mean survival time2
Issue Information2
On the perimeter estimation of pixelated excursion sets of two‐dimensional anisotropic random fields2
Efficient drift parameter estimation for ergodic solutions of backward SDEs2
Issue Information2
Looking back: Selected contributions by C. R. Rao to multivariate analysis2
2
Prior distributions expressing ignorance about convex increasing failure rates2
Time‐varying β‐model for dynamic directed networks2
Accurate bias estimation with applications to focused model selection2
Semiparametric regression for circular response with application in ecology2
Issue Information2
General purpose multiply robust data integration procedures for handling nonprobability samples2
Nadaraya–Watson estimator for I.I.D. paths of diffusion processes2
Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes2
Multiply robust matching estimators of average and quantile treatment effects2
Nonparametric asymptotic confidence intervals for extreme quantiles2
Errata for “A framework for covariate balance using Bregman distances”2
Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions2
Sparse additive models in high dimensions with wavelets2
Approximate reference priors for Gaussian random fields2
Extrapolation estimation for nonparametric regression with measurement error2
On the robustness to outliers of the Student‐t process2
2
Adaptively robust small area estimation: Balancing robustness and efficiency of empirical bayes confidence intervals2
2
On maximizing the likelihood function of general geostatistical models2
Conditional Aalen–Johansen estimation2
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