1. The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories

   • Satoshi Usami
   • Ross Jacobucci
   • Timothy Hayes

   Original Paper Open access 19 May 2018 Pages: 1 - 22

   

2. Estimating reducible stochastic differential equations by conversion to a least-squares problem

   • Oscar García

   Original Paper 10 September 2018 Pages: 23 - 46

   

3. SamP2CeT: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials

   • Md Abu Manju
   • Math J. J. M. Candel
   • Gerard J. P. van Breukelen

   Original Paper Open access 17 August 2018 Pages: 47 - 70

   

4. Pseudo-Bayesian D-optimal designs for longitudinal Poisson mixed models with correlated errors

   • Hong-Yan Jiang
   • Rong-Xian Yue

   Original Paper 07 September 2018 Pages: 71 - 87

   

5. An iterative algorithm to bound partial moments

   • Sander Muns

   Original Paper Open access 28 July 2018 Pages: 89 - 122

   

6. Flexible regression modeling for censored data based on mixtures of student-t distributions

   • Víctor H. Lachos
   • Celso R. B. Cabral
   • Dipak K. Dey

   Original Paper 03 December 2018 Pages: 123 - 152

   

7. Joint modelling of two count variables when one of them can be degenerate

   • Jacek Osiewalski
   • Jerzy Marzec

   Original Paper Open access 03 August 2018 Pages: 153 - 171

   

8. Modified beta modified-Weibull distribution

   • Abdus Saboor
   • Muhammad Nauman Khan
   • Shahid Mubeen

   Original Paper 01 June 2018 Pages: 173 - 199

   

9. Improved model-based clustering performance using Bayesian initialization averaging

   • Adrian O’Hagan
   • Arthur White

   Original Paper 05 December 2018 Pages: 201 - 231

   

10. Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals

    • Manoj Chacko
    • Rakhi Mohan

    Original Paper 31 October 2018 Pages: 233 - 252

    

11. Approximate Bayesian computation for Lorenz curves from grouped data

    • Genya Kobayashi
    • Kazuhiko Kakamu

    Original Paper 22 August 2018 Pages: 253 - 279

    

12. Neural network gradient Hamiltonian Monte Carlo

    • Lingge Li
    • Andrew Holbrook
    • Pierre Baldi

    Original paper 08 January 2019 Pages: 281 - 299

    

13. Assessing variable importance in clustering: a new method based on unsupervised binary decision trees

    • Ghattas Badih
    • Michel Pierre
    • Boyer Laurent

    Original Paper 05 January 2019 Pages: 301 - 321

    

14. Shape mixtures of skew-t-normal distributions: characterizations and estimation

    • Mostafa Tamandi
    • Ahad Jamalizadeh
    • Tsung-I Lin

    Original Paper 31 August 2018 Pages: 323 - 347

    

15. Bootstrapping estimates of stability for clusters, observations and model selection

    • Han Yu
    • Brian Chapman
    • Rachael Hageman Blair

    Original Paper 28 August 2018 Pages: 349 - 372

    

16. An extension of the K-means algorithm to clustering skewed data

    • Volodymyr Melnykov
    • Xuwen Zhu

    Original Paper 04 July 2018 Pages: 373 - 394

    

17. Fusion learning algorithm to combine partially heterogeneous Cox models

    • Lu Tang
    • Ling Zhou
    • Peter X. K. Song

    Original Paper 17 July 2018 Pages: 395 - 414

    

18. Improving the prediction performance of the LASSO by subtracting the additive structural noises

    • Morteza Amini
    • Mahdi Roozbeh

    Original Paper 09 November 2018 Pages: 415 - 432

    

19. A homoscedasticity test for the accelerated failure time model

    • Lili Yu
    • Liang Liu
    • Ding-Geng Chen

    Original Paper 27 September 2018 Pages: 433 - 446