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文献信息
The Annual Review of Statistics and Its Application informs statisticians, and users of statistics about major methodological advances and the computational tools that allow for their implementation.
Variable SelectionCausal InferenceStatistical InferenceStatistical ModelsMarkov Chain Monte CarloBayesian InferenceStatistical MethodsMethodological DevelopmentsFalse Discovery RatePropensity ScoreDimension ReductionData AnalysisModel SelectionData ScienceUncertainty QuantificationStatistical TheorySurvival AnalysisDifferential PrivacyQuantile RegressionFunctional Data Analysis
vol.12 (2025)
vol.11 (2024)
vol.10 (2023)
vol.9 (2022)
vol.8 (2021)
vol.7 (2020)
vol.6 (2019)
vol.5 (2018)
vol.4 (2017)
vol.3 (2016)
vol.2 (2015)
vol.1 (2014)