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Statistical Theory and Related Fields
,  pages 1-17

Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI

Publication type: Journal Article
Publication date: 2022-05-09
Taylor & Francis
scimago Q3
wos Q2
SJR: 0.319
CiteScore: 1.2
Impact factor: 1.3
ISSN: 24754269, 24754277
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Banik A., MAITI T., Bender A. Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI // Statistical Theory and Related Fields. 2022. pp. 1-17.
GOST all authors (up to 50) Copy
Banik A., MAITI T., Bender A. Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI // Statistical Theory and Related Fields. 2022. pp. 1-17.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1080/24754269.2022.2064611
UR - https://doi.org/10.1080/24754269.2022.2064611
TI - Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI
T2 - Statistical Theory and Related Fields
AU - Banik, Asish
AU - MAITI, TAPS
AU - Bender, Andrew
PY - 2022
DA - 2022/05/09
PB - Taylor & Francis
SP - 1-17
SN - 2475-4269
SN - 2475-4277
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2022_Banik,
author = {Asish Banik and TAPS MAITI and Andrew Bender},
title = {Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {may},
url = {https://doi.org/10.1080/24754269.2022.2064611},
pages = {1--17},
doi = {10.1080/24754269.2022.2064611}
}