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 2020-05-01 to 2024-05-01.)
ArticleCitations
Fitting inhomogeneous phase‐type distributions to data: the univariate and the multivariate case18
Multiscale change point detection for dependent data17
Stable inverse probability weighting estimation for longitudinal studies16
Max‐infinitely divisible models and inference for spatial extremes14
Nonparametric extreme conditional expectile estimation12
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 not12
Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo11
Linear censored quantile regression: A novel minimum‐distance approach11
Expectile‐based measures of skewness9
Functional central limit theorems for persistent Betti numbers on cylindrical networks9
Multivariate conditional transformation models8
A test for Gaussianity in Hilbert spaces via the empirical characteristic functional8
Stratified proportional subdistribution hazards model with covariate‐adjusted censoring weight for case‐cohort studies8
Nadaraya–Watson estimator for I.I.D. paths of diffusion processes7
Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”)7
A new Gini correlation between quantitative and qualitative variables6
Pseudo likelihood‐based estimation and testing of missingness mechanism function in nonignorable missing data problems6
Testing multivariate normality by zeros of the harmonic oscillator in characteristic function spaces6
Flexible clustering via hidden hierarchical Dirichlet priors6
An n‐dimensional Rosenbrock distribution for Markov chain Monte Carlo testing5
Multiply robust estimators of causal effects for survival outcomes5
Large‐sample approximations and change testing for high‐dimensional covariance matrices of multivariate linear time series and factor models5
Ordinal patterns in long‐range dependent time series5
A goodness‐of‐fit test for the functional linear model with functional response5
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
Multiply robust matching estimators of average and quantile treatment effects4
Asymptotic theory for statistics based on cumulant vectors with applications4
Copula measures and Sklar's theorem in arbitrary dimensions4
Generalizing the information content for stepped wedge designs: A marginal modeling approach4
Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty4
Exact uniformly most powerful postselection confidence distributions4
The Kendall and Spearman rank correlations of the bivariate skew normal distribution4
Cramér‐von Mises tests for change points3
Maximum likelihood estimation for totally positive log‐concave densities3
High‐dimensional robust inference for Cox regression models using desparsified Lasso3
Nonparametric estimation of the fragmentation kernel based on a partial differential equation stationary distribution approximation3
Bivariate change point detection: Joint detection of changes in expectation and variance3
Ensemble updating of binary state vectors by maximizing the expected number of unchanged components3
On the assumption of independent right censoring3
Testing for conditional independence: A groupwise dimension reduction‐based adaptive‐to‐model approach3
On the sign recovery by least absolute shrinkage and selection operator, thresholded least absolute shrinkage and selection operator, and thresholded basis pursuit denoising3
Identification and estimation of threshold matrix‐variate factor models3
Local asymptotic properties for Cox‐Ingersoll‐Ross process with discrete observations3
Statistical inference for Cox proportional hazards models with a diverging number of covariates3
Break point detection for functional covariance3
Vector‐valued generalized Ornstein–Uhlenbeck processes: Properties and parameter estimation3
Interactions and computer experiments3
Parameter estimation for linear parabolic SPDEs in two space dimensions based on high frequency data2
Combining information across diverse sources: The II‐CC‐FF paradigm2
Moment‐based estimation for the multivariate COGARCH(1,1) process2
Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes2
Maximum pseudo‐likelihood estimation based on estimated residuals in copula semiparametric models2
Sequential monitoring of high‐dimensional time series2
Nonparametric adaptive estimation for interacting particle systems2
Semiparametric estimation and model selection for conditional mixture copula models2
Tests of multivariate copula exchangeability based on Lévy measures2
The Greenwood statistic, stochastic dominance, clustering and heavy tails2
Multivariate boundary regression models2
On the perimeter estimation of pixelated excursion sets of two‐dimensional anisotropic random fields2
Uniform convergence rates for nonparametric estimators smoothed by the beta kernel2
Estimation of change‐point for a class of count time series models2
Failure time studies with intermittent observation and losses to follow‐up2
Large‐scale simultaneous inference under dependence2
Accounting for model uncertainty in multiple imputation under complex sampling2
Design for order‐of‐addition experiments with two‐level components2
Preliminary test estimation in uniformly locally asymptotically normal models2
Consistent Bayesian information criterion based on a mixture prior for possibly high‐dimensional multivariate linear regression models2
Detecting early or late changes in linear models with heteroscedastic errors2
A reproducing kernel Hilbert space log‐rank test for the two‐sample problem2
Improving Lasso for model selection and prediction2
Distributed inference for two‐sample U‐statistics in massive data analysis2
Empirical best prediction of small area bivariate parameters2
Transform orders and stochastic monotonicity of statistical functionals2
Sufficient dimension reduction based on distance‐weighted discrimination2
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