Communications for Statistical Applications and Methods

Communications for Statistical Applications and Methods 2021;28:217-314

Articles

Predicting movie audience with stacked generalization by combining machine learning algorithms

Junghoon Park, Changwon Lim

Communications for Statistical Applications and Methods 2021 May; 28(3):217-32

https://doi.org/10.29220/CSAM.2021.28.3.217

Comparison of accuracy between LC model and 4-PFM when COVID-19 impacts mortality structure

Janghoon Choi

Communications for Statistical Applications and Methods 2021 May; 28(3):233-50

https://doi.org/10.29220/CSAM.2021.28.3.233

Semi closed-form pricing autocallable ELS using Brownian Bridge

Minha Lee, Jimin Hong

Communications for Statistical Applications and Methods 2021 May; 28(3):251-65

https://doi.org/10.29220/CSAM.2021.28.3.251

Fused inverse regression with multi-dimensional responses

Youyoung Cho, Hyoseon Hana, Jae Keun Yoo

Communications for Statistical Applications and Methods 2021 May; 28(3):267-79

https://doi.org/10.29220/CSAM.2021.28.3.267

Stable activation-based regression with localizing property

Jae-Kyung Shin, Jae-Hwan Jhong, Ja-Yong Koo

Communications for Statistical Applications and Methods 2021 May; 28(3):281-94

https://doi.org/10.29220/CSAM.2021.28.3.281

Correlation plot for a contingency table

Chong Sun Hong, Tae Gyu Oh

Communications for Statistical Applications and Methods 2021 May; 28(3):295-305

https://doi.org/10.29220/CSAM.2021.28.3.295

Non-identifiability and testability of missing mechanisms in incomplete two-way contingency tables

Yousung Park, Seung Mo Oh, Tae Yeon Kwon

Communications for Statistical Applications and Methods 2021 May; 28(3):307-14

https://doi.org/10.29220/CSAM.2021.28.3.307

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