1. On relaxing the distributional assumption of stochastic frontier models

   • Hohsuk Noh
   • Ingrid Van Keilegom

   Research Article 01 January 2020 Pages: 1 - 14

   

2. Bayesian multiple change-points estimation for hazard with censored survival data from exponential distributions

   • Jaehee Kim
   • Sooyoung Cheon
   • Zhezhen Jin

   Research Article 01 January 2020 Pages: 15 - 31

   

3. Bayesian cumulative logit random effects models with ARMA random effects covariance matrix

   • Jiyeong Kim
   • Insuk Sohn
   • Keunbaik Lee

   Research Article 01 January 2020 Pages: 32 - 54

   

4. Building some bridges among various experimental designs

   • A. M. Elsawah

   Research Article 01 January 2020 Pages: 55 - 81

   

5. Testing for covariance matrices in time-varying coefficient panel data models with fixed effects

   • Ranran Chen
   • Gaorong Li
   • Sanying Feng

   Research Article 01 January 2020 Pages: 82 - 116

   

6. Explicit formulae and implication of the expected values of some nonlinear statistics of tri-variate Gaussian variables

   • Iickho Song
   • Seungwon Lee
   • So Ryoung Park

   Research Article 01 January 2020 Pages: 117 - 138

   

7. Hamiltonian Markov chain Monte Carlo for partitioned sample spaces with application to Bayesian deep neural nets

   • Minchul Kim
   • Jaeyong Lee

   Research Article 01 January 2020 Pages: 139 - 160

   

8. Self-semi-supervised clustering for large scale data with massive null group

   • Soohyun Ahn
   • Hyungwon Choi
   • Kyeong Eun Lee

   Research Article 01 January 2020 Pages: 161 - 176

   

9. Adaptive structure inferences on partially linear error-in-function models with error-prone covariates

   • Ziyi Ye
   • Zhensheng Huang
   • Haiying Ding

   Research Article 01 January 2020 Pages: 177 - 199

   

10. Estimating equation for additive hazards model with censored length-biased data

    • Hongping Wu
    • Caifeng Du
    • Xiaosha Li

    Research Article 01 January 2020 Pages: 200 - 222

    

11. Statistical inference for semiparametric varying-coefficient partially linear models with a diverging number of components

    • Mingqiu Wang
    • Guo-Liang Tian
    • Yin Liu

    Research Article 01 January 2020 Pages: 223 - 243

    

12. Inflated density ratio and its variation and generalization for computing marginal likelihoods

    • Yu-Bo Wang
    • Ming-Hui Chen
    • Lynn Kuo

    Research Article 01 January 2020 Pages: 244 - 263

    

13. The regularization paths for the ROC-optimizing support vector machines

    • Dohyun Kim
    • Seung Jun Shin

    Research Article 01 January 2020 Pages: 264 - 275

    

14. Identifiability of Gaussian linear structural equation models with homogeneous and heterogeneous error variances

    • Gunwoong Park
    • Youngwhan Kim

    Research Article 01 January 2020 Pages: 276 - 292