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期刊
ISSN
1932-1864
刊名
Statistical Analysis and Data Mining
参考译名
统计分析与数据挖掘
收藏年代
2011~2025
全部
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2024, vol.17, no.1
2024, vol.17, no.2
2024, vol.17, no.3
2024, vol.17, no.4
2024, vol.17, no.5
2024, vol.17, no.6
题名
作者
出版年
年卷期
Stratified learning: A general-purpose statistical method for improved learning under covariate shift
Maximilian Autenrieth; David A. van Dyk; Roberto Trotta; David C. Stenning
2024
2024, vol.17, no.1
On difference-based gradient estimation in nonparametric regression
Maoyu Zhang; Wenlin Dai
2024
2024, vol.17, no.1
Residuals and diagnostics for multinomial regression models
Eric A. E. Gerber; Bruce A. Craig
2024
2024, vol.17, no.1
Driving mode analysis-How uncertain functional inputs propagate to an output
Scott A. Vander Wiel; Michael J. Grosskopf; Isaac J. Michaud; Denise Neudecker
2024
2024, vol.17, no.1
Input-response space-filling designs incorporating response uncertainty
Xiankui Yang; Lu Lu; ChristineM. Anderson-Cook
2024
2024, vol.17, no.1
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model
Junsub Jung; Sungil Kim; Heeyoung Kim
2024
2024, vol.17, no.1
Modeling subpopulations for hierarchically structured data
Andrew Simpson; Semhar Michael; Dylan Borchert; Christopher Saunders; Larry Tang
2024
2024, vol.17, no.1
A machine learning oracle for parameter estimation
Lucas Koepke; Mary Gregg; Michael Frey
2024
2024, vol.17, no.1
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO
Luca Bagnato; Alessio Farcomeni; Antonio Punzo
2024
2024, vol.17, no.1
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model
Niu Xiaoyu; Tian Yuzhu; Tang Manlai; Tian Maozai
2024
2024, vol.17, no.1
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