1. Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection

   • Piotr Fryzlewicz

   Research Article 02 March 2020 Pages: 1027 - 1070

   

2. Discussion of ‘Detecting possibly frequent change-points: wild binary segmentation 2 and steepest-drop model selection’

   • Moulinath Banerjee

   Discussion 16 September 2020 Pages: 1071 - 1075

3. Discussion of ‘Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection’

   • Haeran Cho
   • Claudia Kirch

   Discussion Open access 16 September 2020 Pages: 1076 - 1080

   

4. Seeded intervals and noise level estimation in change point detection: a discussion of Fryzlewicz (2020)

   • Solt Kovács
   • Housen Li
   • Peter Bühlmann

   Discussion 16 September 2020 Pages: 1081 - 1089

   

5. Short communication: Detecting possibly frequent change-points: wild binary segmentation 2 and steepest-drop model selection

   • Robert Lund
   • Xueheng Shi

   Discussion 16 September 2020 Pages: 1090 - 1095

6. Frequent or systematic changes? discussion on “Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection.”

   • Myung Hwan Seo

   Discussion 16 September 2020 Pages: 1096 - 1098

   

7. Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection—rejoinder

   • Piotr Fryzlewicz

   Reply Open access 16 September 2020 Pages: 1099 - 1105

   

8. Empirical likelihood of conditional quantile difference with left-truncated and dependent data

   • Cui-Juan Kong
   • Han-Ying Liang

   Research Article 12 February 2020 Pages: 1106 - 1130

   

9. A new method for regression analysis of interval-censored data with the additive hazards model

   • Peijie Wang
   • Yong Zhou
   • Jianguo Sun

   Research Article 26 February 2020 Pages: 1131 - 1147

   

10. Estimation of semiparametric varying-coefficient spatial autoregressive models with missing in the dependent variable

    • Guowang Luo
    • Mixia Wu
    • Zhen Pang

    Research Article 18 February 2020 Pages: 1148 - 1172

    

11. The adaptivity of thresholding wavelet estimators in heteroscedastic nonparametric model with negatively super-additive dependent errors

    • Yuncai Yu
    • Xinsheng Liu
    • Mohamed Sief

    Research Article 03 February 2020 Pages: 1173 - 1194

12. Model-guided adaptive sampling for Bayesian model selection

    • Qingzhao Yu
    • Bin Li

    Research Article 24 January 2020 Pages: 1195 - 1213

    

13. Robust estimation with a modified Huber’s loss for partial functional linear models based on splines

    • Xiong Cai
    • Liugen Xue
    • Fei Lu

    Research Article 18 February 2020 Pages: 1214 - 1237

    

14. Identification of the minimum non-inferior dose in a three-arm non-inferiority trial

    • Junjiang Zhong
    • Miin-Jye Wen
    • Siu Hung Cheung

    Research Article 18 February 2020 Pages: 1238 - 1254

15. Global correction of projection estimators under local constraint

    • F. Comte
    • C. Dion

    Research Article 20 February 2020 Pages: 1255 - 1284

    

16. A robust approach for testing parameter change in Poisson autoregressive models

    • Jiwon Kang
    • Junmo Song

    Research Article 04 March 2020 Pages: 1285 - 1302