지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
등록된 정보가 없습니다.
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
Variable selection in Poisson HGLMs using h-likelihoood
한국데이터정보과학회지
2015 .12
Variable Selection Procedures in Competing-Risks Models Using Penalized Likelihood
Quantitative Bio-Science
2017 .05
평균-분산 가속화 실패시간 모형에서 벌점화 변수선택
응용통계연구
2021 .06
Variable selection and prediction performance of penalized two-part regression with community-based crime data application
CSAM(Communications for Statistical Applications and Methods)
2024 .07
Penalized maximum likelihood estimation with symmetric log-concave errors and LASSO penalty
CSAM(Communications for Statistical Applications and Methods)
2022 .11
다수준 프레일티모형 변수선택법을 이용한다기관 방광암 생존자료분석
한국데이터정보과학회지
2016 .04
Estimation and variable selection in censored regression model with smoothly clipped absolute deviation penalty
한국데이터정보과학회지
2016 .12
Penalized rank regression estimator with the smoothly clipped absolute deviation function
CSAM(Communications for Statistical Applications and Methods)
2017 .11
Joint Modeling for Mean Vector and Covariance Estimation with l1-Penalty
Quantitative Bio-Science
2017 .05
frailtyHL 통계패키지를 이용한 프레일티 모형의 변수선택: 유방암 생존자료
응용통계연구
2015 .10
A note on standardization in penalized regressions
한국데이터정보과학회지
2015 .04
An Additive Sparse Penalty for Variable Selection in High-Dimensional Linear Regression Model
CSAM(Communications for Statistical Applications and Methods)
2015 .03
Moderately Clipped LASSO for the Sparse High-Dimensional Logistic Regression Models
Journal of The Korean Data Analysis Society
2015 .01
High-dimensional linear discriminant analysis with moderately clipped LASSO
CSAM(Communications for Statistical Applications and Methods)
2021 .01
Prediction of random effects with misspecified AFT random effect models
한국데이터정보과학회지
2022 .09
A convenient approach for penalty parameter selection in robust lasso regression
CSAM(Communications for Statistical Applications and Methods)
2017 .11
Moderately clipped LASSO for the high-dimensional generalized linear model
CSAM(Communications for Statistical Applications and Methods)
2020 .07
Robust penalized estimation via Welsch loss with group Lasso
한국데이터정보과학회지
2021 .05
모형 선택 기준들에 대한 LASSO 회귀 모형 편의의 영향 연구
응용통계연구
2016 .06
Local Influence in LASSO Regression
Journal of The Korean Data Analysis Society
2016 .12
0