Scandinavian Journal of Statistics

Papers
(The median citation count 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 2020-11-01 to 2024-11-01.)
ArticleCitations
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 not21
Stable inverse probability weighting estimation for longitudinal studies20
Fitting inhomogeneous phase‐type distributions to data: the univariate and the multivariate case19
Nonparametric extreme conditional expectile estimation13
Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”)13
Multivariate conditional transformation models11
Nadaraya–Watson estimator for I.I.D. paths of diffusion processes10
Flexible clustering via hidden hierarchical Dirichlet priors10
Functional central limit theorems for persistent Betti numbers on cylindrical networks9
Expectile‐based measures of skewness9
Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty6
Large‐sample approximations and change testing for high‐dimensional covariance matrices of multivariate linear time series and factor models6
A new lack‐of‐fit test for quantile regression with censored data5
Statistics for Gaussian random fields with unknown location and scale using Lipschitz‐Killing curvatures5
Generalizing the information content for stepped wedge designs: A marginal modeling approach5
Copula measures and Sklar's theorem in arbitrary dimensions5
An n‐dimensional Rosenbrock distribution for Markov chain Monte Carlo testing5
Multiply robust matching estimators of average and quantile treatment effects4
Asymptotic theory for statistics based on cumulant vectors with applications4
Multiply robust estimators of causal effects for survival outcomes4
Nonparametric estimation of the fragmentation kernel based on a partial differential equation stationary distribution approximation4
Exact uniformly most powerful postselection confidence distributions4
Nonparametric adaptive estimation for interacting particle systems4
Break point detection for functional covariance4
Improving Lasso for model selection and prediction4
Identification and estimation of threshold matrix‐variate factor models4
The Kendall and Spearman rank correlations of the bivariate skew normal distribution4
Transform orders and stochastic monotonicity of statistical functionals3
Design for order‐of‐addition experiments with two‐level components3
The Greenwood statistic, stochastic dominance, clustering and heavy tails3
Deep neural network classifier for multidimensional functional data3
Uniform convergence rates for nonparametric estimators smoothed by the beta kernel3
On the sign recovery by least absolute shrinkage and selection operator, thresholded least absolute shrinkage and selection operator, and thresholded basis pursuit denoising3
Bivariate change point detection: Joint detection of changes in expectation and variance3
Statistical inference for Cox proportional hazards models with a diverging number of covariates3
Parameter estimation for linear parabolic SPDEs in two space dimensions based on high frequency data3
High‐dimensional robust inference for Cox regression models using desparsified Lasso3
Interactions and computer experiments3
On the robustness to outliers of the Student‐t process3
Vector‐valued generalized Ornstein–Uhlenbeck processes: Properties and parameter estimation3
Empirical best prediction of small area bivariate parameters3
Testing for conditional independence: A groupwise dimension reduction‐based adaptive‐to‐model approach3
On the perimeter estimation of pixelated excursion sets of two‐dimensional anisotropic random fields3
Distributed inference for two‐sample U‐statistics in massive data analysis3
Sequential monitoring of high‐dimensional time series3
Cramér‐von Mises tests for change points3
A reproducing kernel Hilbert space log‐rank test for the two‐sample problem2
Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes2
Improper priors and improper posteriors2
Large‐scale simultaneous inference under dependence2
Robust optimal estimation of location from discretely sampled functional data2
Envelopes for censored quantile regression2
Tests of multivariate copula exchangeability based on Lévy measures2
Detecting early or late changes in linear models with heteroscedastic errors2
Moment‐based estimation for the multivariate COGARCH(1,1) process2
Generalized linear model for subordinated Lévy processes2
General purpose multiply robust data integration procedures for handling nonprobability samples2
Pitfalls of amateur regression: The Dutch New Herring controversies2
Frequentist model averaging for envelope models2
Semiparametric estimation and model selection for conditional mixture copula models2
Equivalence theorems for c and DA‐optimality for linear mixed effects models with applications to multitreatment group assignments in health care2
Preliminary test estimation in uniformly locally asymptotically normal models2
Combining information across diverse sources: The II‐CC‐FF paradigm2
Multivariate boundary regression models2
Multidimensional parameter estimation of heavy‐tailed moving averages2
Maximum pseudo‐likelihood estimation based on estimated residuals in copula semiparametric models2
Sparse principal component analysis for high‐dimensional stationary time series2
Nonstationary space–time covariance functions induced by dynamical systems2
State estimation for aoristic models2
Soft maximin estimation for heterogeneous data2
Efficient spatial designs using Hausdorff distances and Bayesian optimization2
Consistent Bayesian information criterion based on a mixture prior for possibly high‐dimensional multivariate linear regression models2
Feature screening for case‐cohort studies with failure time outcome1
Multivariate geometric anisotropic Cox processes1
1
Multistate analysis of multitype recurrent event and failure time data with event feedbacks in biomarkers1
Locally adaptive Bayesian isotonic regression using half shrinkage priors1
Bayesian nonparametric estimation in the current status continuous mark model1
Asymptotic properties of the maximum smoothed partial likelihood estimator in the change‐plane Cox model1
Ultrahigh‐dimensional generalized additive model: Unified theory and methods1
Covariance‐based soft clustering of functional data based on the Wasserstein–Procrustes metric1
On some publications of Sir David Cox1
Projection‐based and cross‐validated estimation in high‐dimensional Cox model1
Partial correlation graphical LASSO1
Approximate exchangeability and de Finetti priors in 20221
Robust sure independence screening for nonpolynomial dimensional generalized linear models1
Testing the missing at random assumption in generalized linear models in the presence of instrumental variables1
Consistent covariances estimation for stratum imbalances under minimization method for covariate‐adaptive randomization1
Robust inference with censored survival data1
Spatial bootstrapped microeconometrics: Forecasting for out‐of‐sample geo‐locations in big data1
Time‐varying β‐model for dynamic directed networks1
Optimal designs for the development of personalized treatment rules1
Confidence intervals in monotone regression1
Variable selection for high‐dimensional generalized linear model with block‐missing data1
Bayesian mixture models (in)consistency for the number of clusters1
The negative binomial process: A tractable model with composite likelihood‐based inference1
Modeling multivariate extreme value distributions via Markov trees1
1
Approximate reference priors for Gaussian random fields1
Sequential change point tests based on U‐statistics1
Extrapolation estimation for nonparametric regression with measurement error1
Nearly unstable integer‐valued ARCH process and unit root testing1
Learning the two parameters of the Poisson–Dirichlet distribution with a forensic application1
Outlier detection based on extreme value theory and applications1
G‐optimal grid designs for kriging models1
The role of propensity score structure in asymptotic efficiency of estimated conditional quantile treatment effect1
Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths1
Nonparametric asymptotic confidence intervals for extreme quantiles1
Epistemic confidence in the observed confidence interval1
Estimation of the conditional tail moment for Weibull‐type distributions1
Identifying groups of determinants in Bayesian model averaging using Dirichlet process clustering1
Large spatial data modeling and analysis: A Krylov subspace approach1
Pointwise comparison of two multivariate density functions1
On the expectations of equivariant matrix‐valued functions of Wishart and inverse Wishart matrices1
1
Estimation for change point of discretely observed ergodic diffusion processes1
On estimation in the nested case‐control design under nonproportional hazards1
Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation1
Efficiency of naive estimators for accelerated failure time models under length‐biased sampling1
Asymptotic properties of resampling‐based processes for the average treatment effect in observational studies with competing risks1
A robust model averaging approach for partially linear models with responses missing at random1
Asymptotic theory for the inference of the latent trawl model for extreme values1
Two‐part D‐vine copula models for longitudinal insurance claim data1
Estimating absorption time distributions of general Markov jump processes1
Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes1
Dimension‐independent Markov chain Monte Carlo on the sphere1
On a computable Skorokhod's integral‐based estimator of the drift parameter in fractional SDE1
Multivariate quantiles with both overall and directional probability interpretation1
Conditional distribution regression for functional responses1
Maximum likelihood estimator for skew Brownian motion: The convergence rate1
Spectral analysis of Markov switching GARCH models with statistical inference1
1
Maximum composite likelihood estimation for spatial extremes models of Brown–Resnick type with application to precipitation data1
Adaptive estimation of intensity in a doubly stochastic Poisson process1
Double debiased transfer learning for adaptive Huber regression1
Bias approximations for likelihood‐based estimators1
A historical overview of textbook presentations of statistical science1
The geometry of Gaussian double Markovian distributions1
Statistical inference with semiparametric nonignorable nonresponse models1
Nonparametric volatility change detection1
Penalized angular regression for personalized predictions1
Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions1
0.088105916976929