Scandinavian Journal of Statistics

Papers
(The median citation count of Scandinavian Journal of Statistics is 0. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
33
A novel semiparametric approach to nonignorable missing data by catching covariate marginal information21
Sparse Fréchet sufficient dimension reduction with graphical structure among predictors17
Issue Information13
Robust optimal estimation of location from discretely sampled functional data9
Asymptotic inference of the ARMA model with time‐functional variance noises9
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.c8
On some publications of Sir David Cox8
Sparse concordance‐based ordinal classification8
Nonparametric adaptive estimation for interacting particle systems8
Empirical best prediction of small area bivariate parameters8
Kernel mean embedding of probability measures and its applications to functional data analysis8
Sparse principal component analysis for high‐dimensional stationary time series7
A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes7
Revisiting the sequence symmetry analysis design7
Statistical inference in the presence of imputed survey data through regression trees and random forests6
A joint estimation approach for monotonic regression functions in general dimensions6
Estimating absorption time distributions of general Markov jump processes6
Testing relevant hypotheses in functional variance function via self‐normalization5
Bandwidth selection for kernel intensity estimators for spatial point processes5
Lancaster correlation: A new dependence measure linked to maximum correlation5
Plug‐in machine learning for partially linear mixed‐effects models with repeated measurements5
Sequential change point tests based on U‐statistics4
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Pointwise comparison of two multivariate density functions4
Construction of maximum projection Latin hypercube designs using number‐theoretic methods4
Mahalanobis balancing: A multivariate perspective on approximate covariate balancing4
Interactions and computer experiments4
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
Selection of linear mixed‐effects models for clustered data4
On high‐dimensional variance estimation in survey sampling4
Professor Elja Arjas: A prominent figure in establishing statistics in Finland4
Confidence intervals in monotone regression4
Deep neural network classifier for multidimensional functional data3
Log‐density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods3
3
Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”)3
A proper concordance index for models with crossing hazards3
Empirical and instance‐dependent estimation of Markov chain and mixing time3
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Corrigendum to “Shannon Entropy and Mutual Information for Multivariate Skew‐Elliptical Distributions” published in Scandinavian Journal of Statistics (2013), vol. 40, pp. 42–623
Consistent covariances estimation for stratum imbalances under minimization method for covariate‐adaptive randomization3
A special section honoring Nils Lid Hjort3
Adjusted location‐invariant U‐tests for the covariance matrix with elliptically high‐dimensional data3
Statistical disaggregation—A Monte Carlo approach for imputation under constraints3
Distorted distributions and ROC curves3
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Semiparametric regression with localized Bregman divergence3
Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths3
Learning under commission and omission event outliers3
Learning the two parameters of the Poisson–Dirichlet distribution with a forensic application3
Time‐varying β‐model for dynamic directed networks2
On the robustness to outliers of the Student‐t process2
Accurate bias estimation with applications to focused model selection2
Errata for “A framework for covariate balance using Bregman distances”2
Asymptotic properties of the maximum smoothed partial likelihood estimator in the change‐plane Cox model2
Covariance‐based soft clustering of functional data based on the Wasserstein–Procrustes metric2
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A solution to a linear integral equation with an application to statistics of infinitely divisible moving averages2
Conditional Aalen–Johansen estimation2
Looking back: Selected contributions by C. R. Rao to multivariate analysis2
Distributed inference for two‐sample U‐statistics in massive data analysis2
Sparse additive models in high dimensions with wavelets2
Collapsibility of the Conditional Models of CG‐Graphical Models2
Extrapolation estimation for nonparametric regression with measurement error2
Nadaraya–Watson estimator for I.I.D. paths of diffusion processes2
Bayesian nonparametric estimation in the current status continuous mark model2
Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes2
Nonparametric asymptotic confidence intervals for extreme quantiles2
Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions2
General purpose multiply robust data integration procedures for handling nonprobability samples2
Approximate reference priors for Gaussian random fields2
Issue Information2
Regularized t$$ t $$ distribution: definition, properties, and applications2
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
Nonparametric estimation of path‐specific effects in the presence of nonignorable missing covariates2
Prior distributions expressing ignorance about convex increasing failure rates2
On maximizing the likelihood function of general geostatistical models2
A comprehensive framework for evaluating time to event predictions using the restricted mean survival time2
Adaptively robust small area estimation: Balancing robustness and efficiency of empirical bayes confidence intervals1
Nonparametric inference for Poisson‐Laguerre tessellations1
Efficient drift parameter estimation for ergodic solutions of backward SDEs1
The geometry of Gaussian double Markovian distributions1
Corrigendum to “On the unification of families of skew‐normal distributions” published in Scand. J. Stat. vol. 33, pp. 561–5741
Model‐assisted analysis of covariance estimators for stepped wedge cluster randomized experiments1
Locally correct confidence intervals for a binomial proportion: A new criteria for an interval estimator1
Soft maximin estimation for heterogeneous data1
Asymptotically faster estimation of high‐dimensional additive models using subspace learning1
1
Parameter estimation for linear parabolic SPDEs in two space dimensions based on high frequency data1
Data‐driven estimation for multithreshold accelerated failure time model1
On the properties of distance covariance for categorical data: Robustness, sure screening, and approximate null distributions1
A historical overview of textbook presentations of statistical science1
Remove unwanted variation retrieves unknown experimental designs1
On the perimeter estimation of pixelated excursion sets of two‐dimensional anisotropic random fields1
Unconditional empirical likelihood approach for analytic use of public survey data1
1
On the sign recovery by least absolute shrinkage and selection operator, thresholded least absolute shrinkage and selection operator, and thresholded basis pursuit denoising1
Multiply robust matching estimators of average and quantile treatment effects1
Goodness‐of‐fit testing based on graph functionals for homogeneous Erdös–Rényi graphs1
Nearly unstable integer‐valued ARCH process and unit root testing1
Density estimation and regression analysis on hyperspheres in the presence of measurement error1
Flexible clustering via hidden hierarchical Dirichlet priors1
On the expectations of equivariant matrix‐valued functions of Wishart and inverse Wishart matrices1
Daisee: Adaptive importance sampling by balancing exploration and exploitation1
Statistical inference with semiparametric nonignorable nonresponse models1
Statistical inference for Cox proportional hazards models with a diverging number of covariates1
Graph neural networks for the localization of faults in a partially observed regional transmission system1
Likelihood analysis of latent functional response regression models for sequences of correlated binary data1
1
Conditional quasi‐likelihood inference for mean residual life regression with clustered failure time data1
Envelopes for censored quantile regression1
Modeling multivariate extreme value distributions via Markov trees1
Efficient semiparametric estimation of time‐censored intensity‐reduction models for repairable systems1
1
Issue Information1
Inference on data with both multiplicative and additive measurement errors1
1
Minimax rate of estimation for invariant densities associated to continuous stochastic differential equations over anisotropic Hölder classes1
Nonparametric conditional mean testing via an extreme‐type statistic in high dimension1
Issue Information1
Gradient‐based approach to sufficient dimension reduction with functional or longitudinal covariates1
Enriched Pitman–Yor processes1
Improved small‐sample inference for functions of parameters in the k$$ k $$‐sample multinomial problem1
Issue Information1
Estimation of graphical models for skew continuous data1
Kernel density estimation in metric spaces1
Issue Information1
Estimation of win, loss probabilities, and win ratio based on right‐censored event data1
Double debiased transfer learning for adaptive Huber regression1
Parameters estimation of a threshold Chan–Karolyi–Longstaff–Sanders process from continuous and discrete observations1
Asymptotic approximation of the likelihood of stationary determinantal point processes1
Issue Information1
Benchmarked linear shrinkage prediction in the Fay–Herriot small area model0
Penalized angular regression for personalized predictions0
Testing the missing at random assumption in generalized linear models in the presence of instrumental variables0
Minimax estimation of functional principal components from noisy discretized functional data0
Optimal designs for testing pairwise differences: A graph‐based game theoretic approach0
A conversation with Nils Lid Hjort0
Frequentist model averaging for envelope models0
Structure learning for continuous time Bayesian networks via penalized likelihood0
Copula measures and Sklar's theorem in arbitrary dimensions0
Variable importance measures for heterogeneous treatment effects with survival outcome0
Issue Information0
Validation of point process predictions with proper scoring rules0
Design for order‐of‐addition experiments with two‐level components0
Flexible specification testing in quantile regression models0
A minimum Wasserstein distance approach to Fisher's combination of independent, discrete p‐values0
Marginal additive models for population‐averaged inference in longitudinal and cluster‐correlated data0
Adaptive estimation of intensity in a doubly stochastic Poisson process0
Testing for time‐varying nonlinear dependence structures: Regime‐switching and local Gaussian correlation0
Dimension reduction for the estimation of the conditional tail index0
Spatial bootstrapped microeconometrics: Forecasting for out‐of‐sample geo‐locations in big data0
Ratio‐consistency of some invariant U‐statistic‐based estimators with an application to high‐dimensional data ranking0
Robust inference for high‐dimensional single index models0
Spectral analysis of Markov switching GARCH models with statistical inference0
Exact uniformly most powerful postselection confidence distributions0
0
Uniform convergence rates for nonparametric estimators smoothed by the beta kernel0
Mode‐adaptive factor models0
Comments on Divergence vs. Decision P‐values0
Tobit models for count time series0
Comments on Divergence vs. Decision P‐values: A Distinction Worth Making in Theory and Keeping in Practice – or, How Divergence P‐values Measure Evidence Even When Decision P‐valu0
Robust quasi‐randomization‐based estimation with ensemble learning for missing data0
Cox processes driven by transformed Gaussian processes on linear networks—A review and new contributions0
Estimation of the conditional tail moment for Weibull‐type distributions0
Tests of multivariate copula exchangeability based on Lévy measures0
Dimension‐independent Markov chain Monte Carlo on the sphere0
A new reproducing kernel‐based nonlinear dimension reduction method for survival data0
Issue Information0
The Kendall and Spearman rank correlations of the bivariate skew normal distribution0
Estimation of treatment effect among treatment responders with a time‐to‐event endpoint0
Equivalence theorems for c and DA‐optimality for linear mixed effects models with applications to multitreatment group assignments in health care0
The effect of the working correlation on fitting models to longitudinal data0
Truncated two‐parameter Poisson–Dirichlet approximation for Pitman–Yor process hierarchical models0
Multiply robust estimators of causal effects for survival outcomes0
Locally adaptive Bayesian isotonic regression using half shrinkage priors0
Posterior consistency for the spectral density of non‐Gaussian stationary time series0
Multivariate quantiles with both overall and directional probability interpretation0
A two‐step estimation procedure for semiparametric mixture cure models0
Issue Information0
Some mechanisms leading to underdispersion: Old and new proposals0
Generalizing the information content for stepped wedge designs: A marginal modeling approach0
Finite sample inference for empirical Bayesian methods0
Variable selection for high‐dimensional generalized linear model with block‐missing data0
Combining stochastic tendency and distribution overlap towards improved nonparametric effect measures and inference0
Robust inference with censored survival data0
Cutoff for a class of auto‐regressive models with vanishing additive noise0
Nonparametric estimation of densities on the hypersphere using a parametric guide0
Statistical evidence and surprise unified under possibility theory0
Enhanced branching Latin hypercube design and its application in automatic algorithm configuration0
Semiparametric efficient estimation in high‐dimensional partial linear regression models0
Issue Information0
Targeted estimation of state occupation probabilities for the non‐Markov illness‐death model0
Communication‐efficient low‐dimensional parameter estimation and inference for high‐dimensional Lp$$ {L}^p $$‐quantile regression0
Identification and estimation of threshold matrix‐variate factor models0
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Two‐part D‐vine copula models for longitudinal insurance claim data0
Longitudinal network models and permutation‐uniform Markov chains0
Corrigendum to “Statistical inference for generative adversarial networks and other minimax problems”0
Issue Information0
Characterization of valid auxiliary functions for representations of extreme value distributions and their max‐domains of attraction0
A unifying class of compound Poisson integer‐valued ARMA and GARCH models0
Large‐scale covariate‐assisted two‐sample inference under dependence0
Issue Information0
Editorial0
Martingale posterior distributions for cumulative hazard functions0
Nonparametric bounds for the survivor function under general dependent truncation0
Road traffic estimation and algorithmic routing in a spatially dependent network0
Regularization in dynamic random‐intercepts models for analysis of longitudinal data0
Multivariate geometric anisotropic Cox processes0
Estimation for change point of discretely observed ergodic diffusion processes0
Maximum likelihood estimator for skew Brownian motion: The convergence rate0
Issue Information0
Efficient t0$$ {t}_0 $$‐year risk regression using the logistic model0
Asymptotic properties of resampling‐based processes for the average treatment effect in observational studies with competing risks0
0
Large‐scale simultaneous inference under dependence0
G‐optimal grid designs for kriging models0
Issue Information0
Robust sure independence screening for nonpolynomial dimensional generalized linear models0
Approximate exchangeability and de Finetti priors in 20220
On a computable Skorokhod's integral‐based estimator of the drift parameter in fractional SDE0
0
Regression‐based network‐flow and inner‐matrix reconstruction0
Statistical inference for generative adversarial networks and other minimax problems0
On optimal linear prediction0
Epistemic confidence in the observed confidence interval0
A new class of nonparametric tests for second‐order stochastic dominance based on the Lorenz P–P plot0
Smooth backfitting for additive hazard rates0
State estimation for aoristic models0
Pitfalls of amateur regression: The Dutch New Herring controversies0
Outlier detection based on extreme value theory and applications0
Confidence bands for survival curves from outcome‐dependent stratified samples0
Stein's method of moments0
Efficient spatial designs using Hausdorff distances and Bayesian optimization0
A classical hypothesis test for assessing the homogeneity of disease transmission in stochastic epidemic models0
Continuous‐time threshold autoregressions with jumps: Properties, estimation, and application to electricity markets0
Commentary on “Pitfalls of amateur regression: The Dutch New Herring controversies”0
Model‐based clustering in simple hypergraphs through a stochastic blockmodel0
Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions0
Approximate maximum likelihood estimation for one‐dimensional diffusions observed on a fine grid0
Inference for all variants of the multivariate coefficient of variation in factorial designs0
Estimation of the adjusted standard‐deviatile for extreme risks0
Optimal designs for the development of personalized treatment rules0
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 not0
Empirical likelihood M‐estimation for the varying‐coefficient model with functional response0
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