1. Quantile ratio regression

   • Alessio Farcomeni
   • Marco Geraci

   Original Paper Open access 14 March 2024 Article: 94

   

2. Robust score matching for compositional data

   • Janice L. Scealy
   • Kassel L. Hingee
   • Andrew T. A. Wood

   Original Paper Open access 13 March 2024 Article: 93

   

3. Quantile generalized measures of correlation

   • Xinyu Zhang
   • Hongwei Shi
   • Xu Guo

   Original Paper 12 March 2024 Article: 92

   

4. Bayesian variable selection for matrix autoregressive models

   • Alessandro Celani
   • Paolo Pagnottoni
   • Galin Jones

   Original Paper Open access 11 March 2024 Article: 91

   

5. Large-scale correlation screening under dependence for brain functional connectivity network inference

   • Hanâ Lbath
   • Alexander Petersen
   • Sophie Achard

   Original Paper 09 March 2024 Article: 90

   

6. Multiple-output quantile regression neural network

   • Ruiting Hao
   • Xiaorong Yang

   Original Paper 08 March 2024 Article: 89

   

7. Estimation of regime-switching diffusions via Fourier transforms

   • Thomas Lux

   Original Paper Open access 05 March 2024 Article: 88

   

8. Total effects with constrained features

   • Emanuele Borgonovo
   • Elmar Plischke
   • Clémentine Prieur

   Original Paper Open access 05 March 2024 Article: 87

   

9. High-dimensional sparse single–index regression via Hilbert–Schmidt independence criterion

   • Xin Chen
   • Chang Deng
   • Jia Zhang

   Original Paper 27 February 2024 Article: 86

   

10. Improvements on scalable stochastic Bayesian inference methods for multivariate Hawkes process

    • Alex Ziyu Jiang
    • Abel Rodriguez

    Original Paper 27 February 2024 Article: 85

    

11. Maximum likelihood estimation of log-concave densities on tree space

    • Yuki Takazawa
    • Tomonari Sei

    Original Paper Open access 23 February 2024 Article: 84

    

12. Do applied statisticians prefer more randomness or less? Bootstrap or Jackknife?

    • Yannis G. Yatracos

    Original Paper 22 February 2024 Article: 83

    

13. Forward stability and model path selection

    • Nicholas Kissel
    • Lucas Mentch

    Original Paper Open access 20 February 2024 Article: 82

    

14. Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions

    • Francesco Amato
    • Julien Jacques
    • Isabelle Prim-Allaz

    Original Paper 17 February 2024 Article: 81

    

15. The minimum covariance determinant estimator for interval-valued data

    • Wan Tian
    • Zhongfeng Qin

    Original Paper 17 February 2024 Article: 80

    

16. Enmsp: an elastic-net multi-step screening procedure for high-dimensional regression

    • Yushan Xue
    • Jie Ren
    • Bin Yang

    Original Paper 16 February 2024 Article: 79

    

17. Bayesian parameter inference for partially observed stochastic volterra equations

    • Ajay Jasra
    • Hamza Ruzayqat
    • Amin Wu

    Original Paper 14 February 2024 Article: 78

    

18. Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data

    • Zehan Yang
    • HaiYing Wang
    • Jun Yan

    Original Paper 14 February 2024 Article: 77

    

19. New mixed portmanteau tests for time series models

    • Esam Mahdi

    Original Paper 12 February 2024 Article: 76

    

20. COMBSS: best subset selection via continuous optimization

    • Sarat Moka
    • Benoit Liquet
    • Samuel Muller

    Original Paper Open access 12 February 2024 Article: 75

    

21. A robust quantile regression for bounded variables based on the Kumaraswamy Rectangular distribution

    • Matheus Castro
    • Caio Azevedo
    • Juvêncio Nobre

    Original Paper 10 February 2024 Article: 74

    

22. A reliable data-based smoothing parameter selection method for circular kernel estimation

    • Jose Ameijeiras-Alonso

    Original Paper Open access 07 February 2024 Article: 73

    

23. Fast generation of exchangeable sequences of clusters data

    • Keith Levin
    • Brenda Betancourt

    Original Paper 07 February 2024 Article: 72

    

24. Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences

    • Carlos Echegoyen
    • Aritz Pérez
    • María Dolores Ugarte

    Original Paper Open access 05 February 2024 Article: 71

    

25. Global–local shrinkage multivariate logit-beta priors for multiple response-type data

    • Hongyu Wu
    • Jonathan R. Bradley

    Original Paper 03 February 2024 Article: 70

    

26. Kent feature embedding for classification of compositional data with zeros

    • Shan Lu
    • Wenjing Wang
    • Rong Guan

    Original Paper 31 January 2024 Article: 69

    

27. The sparse dynamic factor model: a regularised quasi-maximum likelihood approach

    • Luke Mosley
    • Tak-Shing T. Chan
    • Alex Gibberd

    Original Paper Open access 22 January 2024 Article: 68

    

28. Variational Bayesian analysis of survival data using a log-logistic accelerated failure time model

    • Chengqian Xian
    • Camila P. E. de Souza
    • Renfang Tian

    Original Paper 18 January 2024 Article: 67

    

29. Expectile hidden Markov regression models for analyzing cryptocurrency returns

    • Beatrice Foroni
    • Luca Merlo
    • Lea Petrella

    Original Paper 13 January 2024 Article: 66

    

30. Efficient exponential tilting with applications

    • Cheng-Der Fuh
    • Chuan-Ju Wang

    Original Paper 13 January 2024 Article: 65

    

31. Bayesian contiguity constrained clustering

    • Etienne Côme

    Original Paper 12 January 2024 Article: 64

    

32. Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function

    • Naruesorn Prabpon
    • Kitakorn Homsud
    • Pat Vatiwutipong

    Original Paper 12 January 2024 Article: 63

    

33. Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms

    • Luca Brusa
    • Fulvia Pennoni
    • Francesco Bartolucci

    Original Paper Open access 10 January 2024 Article: 62