1. An adaptive method for bandwidth selection in circular kernel density estimation

   • Stanislav Zámečník
   • Ivana Horová
   • Kamila Hasilová

   Original Paper Open access 27 September 2023 Pages: 1709 - 1728

   

2. A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions

   • Hongpeng Yuan
   • Sijia Xiang
   • Weixin Yao

   Original Paper 18 November 2023 Pages: 1729 - 1746

   

3. Random forest based quantile-oriented sensitivity analysis indices estimation

   • Kévin Elie-Dit-Cosaque
   • Véronique Maume-Deschamps

   Original Paper 12 January 2024 Pages: 1747 - 1777

   

4. Sampling large hyperplane-truncated multivariate normal distributions

   • Hassan Maatouk
   • Didier Rullière
   • Xavier Bay

   Original Paper 19 September 2023 Pages: 1779 - 1806

   

5. Rank estimation for the function-on-scalar model

   • Jun Sun
   • Mingtao Zhao
   • Jing Yang

   Original Paper 21 September 2023 Pages: 1807 - 1823

   

6. A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure

   • Michael Levine
   • Gildas Mazo

   Original Paper 27 March 2024 Pages: 1825 - 1846

   

7. Nonparametric derivative estimation with bimodal kernels under correlated errors

   • Deru Kong
   • Shengli Zhao
   • WenWu Wang

   Original Paper 09 October 2023 Pages: 1847 - 1865

   

8. Automatic piecewise linear regression

   • Mathias von Ottenbreit
   • Riccardo De Bin

   Original Paper Open access 01 March 2024 Pages: 1867 - 1907

   

9. High-dimensional penalized Bernstein support vector classifier

   • Rachid Kharoubi
   • Abdallah Mkhadri
   • Karim Oualkacha

   Original Paper 16 January 2024 Pages: 1909 - 1936

   

10. Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach

    • Emily Chia-Yu Su
    • Han-Ming Wu

    Original Paper 06 December 2023 Pages: 1937 - 1969

    

11. A sparse estimate based on variational approximations for semiparametric generalized additive models

    • Fan Yang
    • Yuehan Yang

    Original Paper 25 March 2024 Pages: 1971 - 1992

    

12. High dimensional controlled variable selection with model-X knockoffs in the AFT model

    • Baihua He
    • Di Xia
    • Yingli Pan

    Original Paper 09 December 2023 Pages: 1993 - 2009

    

13. Sparse estimation of linear model via Bayesian method\(^*\)

    • Yang Yang
    • Yanjiao Yang
    • Lichun Wang

    Original Paper 04 March 2024 Pages: 2011 - 2038

    

14. Variational Bayesian Lasso for spline regression

    • Larissa C. Alves
    • Ronaldo Dias
    • Helio S. Migon

    Original Paper 24 February 2024 Pages: 2039 - 2064

    

15. Generalised Bayesian sample copula of order m

    • Luis E. Nieto-Barajas
    • Ricardo Hoyos-Argüelles

    Original Paper 06 July 2023 Pages: 2065 - 2082

    

16. Semiparametric regression modelling of current status competing risks data: a Bayesian approach

    • Pavithra Hariharan
    • P. G. Sankaran

    Original Paper 31 January 2024 Pages: 2083 - 2108

    

17. Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data

    • Subhankar Dutta
    • Sanku Dey
    • Suchandan Kayal

    Original Paper 05 July 2023 Pages: 2109 - 2155

    

18. Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints

    • Niansheng Tang
    • Fan Liang
    • Depeng Jiang

    Original Paper 13 July 2023 Pages: 2157 - 2181

19. Multi-pass Bayesian estimation: a robust Bayesian method

    • Yeming Lei
    • Shijie Zhou
    • Nan Ye

    Original Paper Open access 01 August 2023 Pages: 2183 - 2216

    

20. Point and interval estimation of quantiles of several exponential populations with a common location under progressive censoring scheme

    • Habiba Khatun
    • Manas Ranjan Tripathy

    Original Paper 14 September 2023 Pages: 2217 - 2257

    

21. Variational Bayesian analysis for two-part latent variable model

    • Yemao Xia
    • Jinye Chen
    • Depeng Jiang

    Original Paper 04 October 2023 Pages: 2259 - 2290

    

22. Dominance of posterior predictive densities over plug-in densities for order statistics in exponential distributions

    • Kouhei Nishi
    • Takeshi Kurosawa
    • Nobuyuki Ozeki

    Original Paper Open access 18 October 2023 Pages: 2291 - 2321

    

23. Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis

    • Wenxing Guo
    • Xueying Zhang
    • Yaozhong Hu

    Original Paper 26 November 2023 Pages: 2323 - 2341

    

24. A latent variable approach for modeling recall-based time-to-event data with Weibull distribution

    • M. S. Panwar
    • Vikas Barnwal
    • C. P. Yadav

    Original Paper 03 January 2024 Pages: 2343 - 2374

    

25. Variable selection for multivariate functional data via conditional correlation learning

    • Keyao Wang
    • Huiwen Wang
    • Lihong Wang

    Original Paper 14 April 2024 Pages: 2375 - 2412