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Journal of the American Statistical Association

Subject Areas: Statistics, Probability and Uncertainty
Publisher: Taylor & Francis - Taylor & Francis
ISSN: 0162-1459
SJR: 197

Open Access

Journal Article

Coexchangeable Process Modeling for Uncertainty Quantification in Joint Climate Reconstruction

Astfalck, Lachlan; Williamson, Daniel; Gandy, Niall; Gregoire, Lauren; Ivanovic, Ruza

2024 Journal of the American Statistical Association

doi:10.1080/01621459.2024.2325705

Abstract Any experiment with climate models relies on a potentially large set of spatio-temporal boundary conditions. These can represent both the initial state of the system and/or forcings driving the model output throughout the experiment. These boundary conditions are typically fixed using...
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Journal Article

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

Chen, Jianmin; Aseltine, Robert H.; Wang, Fei; Chen, Kun

2024 Journal of the American Statistical Association

doi:10.1080/01621459.2024.2326621

Abstract Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease onset with prior medical diagnoses and procedures. Dealing with the resulting highly sparse and large-scale...
Open Access

Journal Article

An Efficient Coalescent Model for Heterochronously Sampled Molecular Data

Cappello, Lorenzo; Véber, Amandine; Palacios, Julia A.

2024 Journal of the American Statistical Association

doi:10.1080/01621459.2024.2330732

Abstract Molecular sequence variation at a locus informs about the evolutionary history of the sample and past population size dynamics. The Kingman coalescent is used in a generative model of molecular sequence variation to infer evolutionary parameters. However, it is well understood that...
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Journal Article

Latent Multimodal Functional Graphical Model Estimation

Tsai, Katherine; Zhao, Boxin; Koyejo, Sanmi; Kolar, Mladen

2024 Journal of the American Statistical Association

doi:10.1080/01621459.2023.2252142

Abstract Joint multimodal functional data acquisition, where functional data from multiple modes are measured simultaneously from the same subject, has emerged as an exciting modern approach enabled by recent engineering breakthroughs in the neurological and biological sciences. One prominent...
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Journal Article

Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation

Wu, Hau-Tieng; Zhou, Zhou

2024 Journal of the American Statistical Association

doi:10.1080/01621459.2023.2229486

Abstract We consider detecting the evolutionary oscillatory pattern of a signal when it is contaminated by nonstationary noises with complexly time-varying data generating mechanism. A high-dimensional dense progressive periodogram test is proposed to accurately detect all oscillatory...

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