Scandinavian Journal of Statistics
1998 - 2025
Current editor(s): ÿrnulf Borgan and Bo Lindqvist From: Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association Bibliographic data for series maintained by Wiley Content Delivery (contentdelivery@wiley.com). Access Statistics for this journal.
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Volume 52, issue 1, 2025
- On a computable Skorokhod's integral‐based estimator of the drift parameter in fractional SDE pp. 1-37

- Nicolas Marie
- Minimax estimation of functional principal components from noisy discretized functional data pp. 38-80

- Ryad Belhakem, Franck Picard, Vincent Rivoirard and Angelina Roche
- On maximizing the likelihood function of general geostatistical models pp. 81-103

- Tingjin Chu
- Tests under simple order in one‐way ANCOVA pp. 104-144

- Anjana Mondal and Somesh Kumar
- Lancaster correlation: A new dependence measure linked to maximum correlation pp. 145-169

- Hajo Holzmann and Bernhard Klar
- Estimation of win, loss probabilities, and win ratio based on right‐censored event data pp. 170-184

- Erik T. Parner and Morten Overgaard
- Minimax rate of estimation for invariant densities associated to continuous stochastic differential equations over anisotropic Hölder classes pp. 185-248

- Chiara Amorino and Arnaud Gloter
- Adjusted location‐invariant U‐tests for the covariance matrix with elliptically high‐dimensional data pp. 249-269

- Kai Xu, Yeqing Zhou and Liping Zhu
- Inference for all variants of the multivariate coefficient of variation in factorial designs pp. 270-294

- Marc Ditzhaus and Łukasz Smaga
- A classical hypothesis test for assessing the homogeneity of disease transmission in stochastic epidemic models pp. 295-313

- Georgios Aristotelous, Theodore Kypraios and Philip D. O'Neill
- Cutoff for a class of auto‐regressive models with vanishing additive noise pp. 314-331

- Balázs Gerencsér and Andrea Ottolini
- Goodness‐of‐fit testing based on graph functionals for homogeneous Erdös–Rényi graphs pp. 332-380

- Barbara Brune, Jonathan Flossdorf and Carsten Jentsch
- Tobit models for count time series pp. 381-415

- Christian H. Weiß and Fukang Zhu
- Model‐assisted analysis of covariance estimators for stepped wedge cluster randomized experiments pp. 416-446

- Xinyuan Chen and Fan Li
- Data‐driven estimation for multithreshold accelerated failure time model pp. 447-468

- Chuang Wan, Hao Zeng, Wenyang Zhang, Wei Zhong and Changliang Zou
- Revisiting the sequence symmetry analysis design pp. 469-479

- Jeppe Ekstrand Halkjær Madsen
- A new class of nonparametric tests for second‐order stochastic dominance based on the Lorenz P–P plot pp. 480-512

- Tommaso Lando and Sirio Legramanti
- The effect of screening for publication bias on the outcomes of meta‐analyses pp. 513-531

- Haben Michael
Volume 51, issue 4, 2024
- Editorial pp. 1391-1392

- Sangita Kulathinal, Jaakko Peltonen and Mikko J. Sillanpää
- Looking back: Selected contributions by C. R. Rao to multivariate analysis pp. 1393-1424

- Dianna Smith
- On some publications of Sir David Cox pp. 1425-1432

- Nancy Reid
- Some approximations to the path formula for some nonlinear models pp. 1433-1449

- Christiana Kartsonaki
- Mahalanobis balancing: A multivariate perspective on approximate covariate balancing pp. 1450-1471

- Yimin Dai and Ying Yan
- Double debiased transfer learning for adaptive Huber regression pp. 1472-1505

- Ziyuan Wang, Lei Wang and Heng Lian
- Asymptotic properties of resampling‐based processes for the average treatment effect in observational studies with competing risks pp. 1506-1532

- Jasmin Rühl and Sarah Friedrich
- Validation of point process predictions with proper scoring rules pp. 1533-1566

- Claudio Heinrich‐Mertsching, Thordis L. Thorarinsdottir, Peter Guttorp and Max Schneider
- Gradient‐based approach to sufficient dimension reduction with functional or longitudinal covariates pp. 1567-1586

- Ming‐Yueh Huang and Kwun Chuen Gary Chan
- Asymptotically faster estimation of high‐dimensional additive models using subspace learning pp. 1587-1618

- Kejun He, Shiyuan He and Jianhua Z. Huang
- Bayesian mixture models (in)consistency for the number of clusters pp. 1619-1660

- Louise Alamichel, Daria Bystrova, Julyan Arbel and Guillaume Kon Kam King
- Model‐based clustering in simple hypergraphs through a stochastic blockmodel pp. 1661-1684

- Luca Brusa and Catherine Matias
- Conditional quasi‐likelihood inference for mean residual life regression with clustered failure time data pp. 1685-1706

- Rui Huang, Liuquan Sun and Liming Xiang
- Structure learning for continuous time Bayesian networks via penalized likelihood pp. 1707-1729

- Tomasz Ca̧kała, Błażej Miasojedow, Wojciech Rejchel and Maryia Shpak
- Regression‐based network‐flow and inner‐matrix reconstruction pp. 1730-1748

- Michael Lebacher and Göran Kauermann
- Confidence intervals in monotone regression pp. 1749-1781

- Piet Groeneboom and Geurt Jongbloed
- Estimation of the conditional tail moment for Weibull‐type distributions pp. 1782-1815

- Yuri Goegebeur, Armelle Guillou and Jing Qin
- Corrigendum to “Shannon Entropy and Mutual Information for Multivariate Skew‐Elliptical Distributions” published in Scandinavian Journal of Statistics (2013), vol. 40, pp. 42–62 pp. 1816-1816

- Reinaldo B. Arellano‐Valle, Javier E. Contreras‐Reyes and Marc G. Genton
Volume 51, issue 3, 2024
- A special section honoring Nils Lid Hjort pp. 913-913

- Ørnulf Borgan and Ingrid K. Glad
- A conversation with Nils Lid Hjort pp. 914-935

- Ørnulf Borgan and Ingrid K. Glad
- Martingale posterior distributions for cumulative hazard functions pp. 936-955

- Stephen G. Walker
- Nonparametric estimation of densities on the hypersphere using a parametric guide pp. 956-986

- María Alonso‐Pena, Gerda Claeskens and Irène Gijbels
- A two‐step estimation procedure for semiparametric mixture cure models pp. 987-1011

- Eni Musta, Valentin Patilea and Ingrid Van Keilegom
- Testing for time‐varying nonlinear dependence structures: Regime‐switching and local Gaussian correlation pp. 1012-1060

- Kristian Gundersen, Timothée Bacri, Jan Bulla, Sondre Hølleland, Antonello Maruotti and Bård Støve
- G‐optimal grid designs for kriging models pp. 1061-1085

- Subhadra Dasgupta, Siuli Mukhopadhyay and Jonathan Keith
- Confidence bands for survival curves from outcome‐dependent stratified samples pp. 1086-1102

- Takumi Saegusa and Peter Nandori
- Nonparametric plug‐in classifier for multiclass classification of S.D.E. paths pp. 1103-1160

- Christophe Denis, Charlotte Dion‐Blanc, Eddy Ella‐Mintsa and Viet Chi Tran
- Estimation of treatment effect among treatment responders with a time‐to‐event endpoint pp. 1161-1180

- Andreas Nordland and Torben Martinussen
- Efficient drift parameter estimation for ergodic solutions of backward SDEs pp. 1181-1205

- Teppei Ogihara and Mitja Stadje
- Log‐density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods pp. 1206-1229

- Tore Selland Kleppe
- Asymptotic inference of the ARMA model with time‐functional variance noises pp. 1230-1258

- Bibi Cai, Enwen Zhu and Shiqing Ling
- Semiparametric efficient estimation in high‐dimensional partial linear regression models pp. 1259-1287

- Xinyu Fu, Mian Huang and Weixin Yao
- Cox processes driven by transformed Gaussian processes on linear networks—A review and new contributions pp. 1288-1322

- Jesper Møller and Jakob G. Rasmussen
- Statistical inference for generative adversarial networks and other minimax problems pp. 1323-1356

- Mika Meitz
- Empirical likelihood M‐estimation for the varying‐coefficient model with functional response pp. 1357-1387

- Xingcai Zhou, Dehan Kong, Matthew Stephen Pietrosanu, Linglong Kong and Rohana J. Karunamuni
- Commentary on “Pitfalls of amateur regression: The Dutch New Herring controversies” pp. 1388-1389

- Jan C. Van Ours and Ben Vollaard
Volume 51, issue 2, 2024
- Editorial pp. 427-428

- Sangita Kulathinal, Jaakko Peltonen and Mikko J. Sillanpää
- Envelopes for multivariate linear regression with linearly constrained coefficients pp. 429-446

- R. Dennis Cook, Liliana Forzani and Lan Liu
- Kernel mean embedding of probability measures and its applications to functional data analysis pp. 447-484

- Saeed Hayati, Kenji Fukumizu and Afshin Parvardeh
- Covariance‐based soft clustering of functional data based on the Wasserstein–Procrustes metric pp. 485-512

- Valentina Masarotto and Guido Masarotto
- Density estimation and regression analysis on hyperspheres in the presence of measurement error pp. 513-556

- Jeong Min Jeon and Ingrid Van Keilegom
- Empirical and instance‐dependent estimation of Markov chain and mixing time pp. 557-589

- Geoffrey Wolfer
- Truncated two‐parameter Poisson–Dirichlet approximation for Pitman–Yor process hierarchical models pp. 590-611

- Junyi Zhang and Angelos Dassios
- Maximum likelihood estimator for skew Brownian motion: The convergence rate pp. 612-642

- Antoine Lejay and Sara Mazzonetto
- Estimation of the adjusted standard‐deviatile for extreme risks pp. 643-671

- Haoyu Chen, Tiantian Mao and Fan Yang
- A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes pp. 672-696

- Jinyuan Liu, Xinlian Zhang, Tuo Lin, Ruohui Chen, Yuan Zhong, Tian Chen, Tsungchin Wu, Chenyu Liu, Anna Huang, Tanya T. Nguyen, Ellen E. Lee, Dilip V. Jeste and Xin M. Tu
- On the expectations of equivariant matrix‐valued functions of Wishart and inverse Wishart matrices pp. 697-723

- Grant Hillier and Raymond M. Kan
- Accurate bias estimation with applications to focused model selection pp. 724-759

- Ingrid Dæhlen, Nils Lid Hjort and Ingrid Hobæk Haff
- Modeling multivariate extreme value distributions via Markov trees pp. 760-800

- Shuang Hu, Zuoxiang Peng and Johan Segers
- Nonparametric conditional mean testing via an extreme‐type statistic in high dimension pp. 801-831

- Yiming Liu, Guangming Pan, Guangren Yang and Wang Zhou
- Characterization of valid auxiliary functions for representations of extreme value distributions and their max‐domains of attraction pp. 832-860

- Miriam Isabel Seifert
- Consistent covariances estimation for stratum imbalances under minimization method for covariate‐adaptive randomization pp. 861-890

- Zixuan Zhao, Yanglei Song, Wenyu Jiang and Dongsheng Tu
- The effect of the working correlation on fitting models to longitudinal data pp. 891-912

- Samuel Muller, Suojin Wang and A. H. Welsh
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