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Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.
Variable SelectionMarkov Chain Monte CarloCausal InferenceBayesian Hierarchical ModelBayesian InferenceLongitudinal DataFunctional Data AnalysisFalse Discovery RateModel SelectionMixture ModelEM AlgorithmFunctional DataMathematical StatisticsMissing DataBayesian NonparametricGene Expression DataDimension ReductionHidden Markov ModelRandom EffectsGenome-wide Association
vol.19 (2025)
vol.18 (2024)
vol.17 (2023)
vol.16 (2022)
vol.15 (2021)
vol.14 (2020)
vol.13 (2019)
vol.12 (2018)
vol.11 (2017)
vol.10 (2016)
vol.9 (2015)
vol.8 (2014)
vol.7 (2013)
vol.6 (2012)
vol.5 (2011)
vol.4 (2010)
vol.3 (2009)
vol.2 (2008)
vol.1 (2007)