Publications

Below are my methodological publications, grouped by year, with my author position marked on each. Collaborative clinical and public-health papers — where I contribute statistical expertise to a larger study team — are listed separately in my CV.

Published

10 papers
20252 papers
  1. Sketching in high-dimensional regression with big data using Gaussian scale mixture priors
    Guhaniyogi R, Scheffler AW
    Journal of Machine Learning Research · 26(271), 1–28
  2. Multi-object data integration in the study of primary progressive aphasia
    Gutierrez R, Scheffler AW, Guhaniyogi R, Gorno-Tempini ML, Mandelli ML, Battistella G
    The Annals of Applied Statistics · 19(4), 3282
20241 paper
  1. A Bayesian covariance based clustering for high-dimensional tensors
    Gutierrez R, Scheffler AW, Guhaniyogi R
    Technometrics · Accepted
20232 papers
  1. Bayesian adaptive design for covariate-adaptive historical control information borrowing
    Jin H, Kim M-O, Scheffler AW, Jiang F
    Statistics in Medicine · 42(29), 5338–5352
  2. Modeling longitudinal trends in event-related potentials
    Şentürk D, Scheffler AW
    Book chapter
20222 papers
  1. Multilevel hybrid principal components analysis for region-referenced functional electroencephalography data
    Campos E, Scheffler AW, Telesca D, Sugar CA, DiStefano C, Jeste S, Levin AR, Naples A, Webb SJ, Shic F, et al.
    Statistics in Medicine · 41(19), 3737–3757
  2. Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data
    Scheffler AW, Dickinson A, DiStefano C, Jeste S, Şentürk D
    Statistics and Its Interface · 15(2), 209
20201 paper
  1. Hybrid principal components analysis for region-referenced longitudinal functional EEG data
    Scheffler AW, Telesca D, Li Q, Sugar CA, DiStefano C, Jeste S, Şentürk D
    Biostatistics · 21(1), 139–157
20191 paper
  1. Covariate-adjusted region-referenced generalized functional linear model for EEG data
    Scheffler AW, Telesca D, Sugar CA, Jeste S, Dickinson A, DiStefano C, Şentürk D
    Statistics in Medicine · 38(30), 5587–5602
20171 paper
  1. A multi-dimensional functional principal components analysis of EEG data
    Scheffler AW, Hasenstab K, Telesca D, Sugar CA, Jeste S, DiStefano C, Şentürk D
    Biometrics · 73(3), 999–1009

Working papers

5 in review or preparation

Preprints and manuscripts under review.

20262 papers
  1. Uncertainty-aware neural multivariate geostatistics
    Jeon Y, Scheffler AW, Guhaniyogi R
    Preprint · arXiv:2602.16146
  2. Bayesian threshold-aligned joint disease progression modeling for Alzheimer’s disease
    Wu R, Tosun D, Hausle I, Heston M, Scheffler AW
    Preprint · arXiv:2606.18139
20252 papers
  1. Deep generative modeling with spatial and network images: an explainable AI (XAI) approach
    Jeon Y, Guhaniyogi R, Scheffler AW
    Preprint · arXiv:2505.12743
  2. Interpretable deep neural network for modeling functional surrogates
    Jeon Y, Guhaniyogi R, Scheffler AW, Francom D, Pasqualini D
    Preprint · arXiv:2503.20528
20241 paper
  1. INVA: Integrative variational autoencoder for harmonization of multi-modal neuroimaging data
    Lei B, Guhaniyogi R, Chandra K, Scheffler AW, Mallick B
    Preprint · arXiv:2402.02734

The 2017 Biometrics paper received the Best Student Paper award from the Western North American Region of the International Biometric Society (2016). A complete list of all publications, including more than sixty collaborative papers, is available in my CV and on Google Scholar.