Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anupreet Porwal"'
Autor:
Anupreet Porwal, Adrian E. Raftery
Publikováno v:
The New England Journal of Statistics in Data Science. :1-10
Bayesian model averaging (BMA) provides a coherent way to account for model uncertainty in statistical inference tasks. BMA requires specification of model space priors and parameter space priors. In this article we focus on comparing different model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fae2d89ed65921d6354f9a2b93e48d04
https://doi.org/10.51387/22-nejsds14
https://doi.org/10.51387/22-nejsds14
Autor:
Anupreet Porwal, Abel Rodríguez
Publikováno v:
Bayesian Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5af6564b9a99572efd2b6b00a63697de
https://doi.org/10.1214/23-ba1389
https://doi.org/10.1214/23-ba1389
Autor:
Clara Berridge, Yuanjin Zhou, Amanda Lazar, Anupreet Porwal, Nora Mattek, Sarah Gothard, Jeffrey Kaye
Publikováno v:
DIS. Designing Interactive Systems (Conference). 2022
Studies find that older adults want control over how technologies are used in their care, but how it can be operationalized through design remains to be clarified. We present findings from a large survey (n=825) of a well-characterized U.S. online co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d10d85c3904648676c2a646e91eaa9b
https://pubmed.ncbi.nlm.nih.gov/35969716
https://pubmed.ncbi.nlm.nih.gov/35969716
Autor:
Anupreet Porwal, Adrian E. Raftery
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(16)
Probability models are used for many statistical tasks, notably parameter estimation, interval estimation, inference about model parameters, point prediction, and interval prediction. Thus, choosing a statistical model and accounting for uncertainty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d6f2331e221974c01ffe7433bd64d7c
https://pubmed.ncbi.nlm.nih.gov/35412893
https://pubmed.ncbi.nlm.nih.gov/35412893
Publikováno v:
IJCAI
The latent feature relational model (LFRM) is a generative model for graph-structured data to learn a binary vector representation for each node in the graph. The binary vector denotes the node's membership in one or more communities. At its core, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce306a13daec764df9ee5339f3963caf
http://arxiv.org/abs/1807.03570
http://arxiv.org/abs/1807.03570
Autor:
Sharmishtha Mitra, Anupreet Porwal
Publikováno v:
DEStech Transactions on Engineering and Technology Research.
Recently a novel approach of model order selection based on penalizing adaptively the likelihood (PAL) function was introduced in [1]. In this paper, we use the PAL method for order estimation of complex valued nonlinear exponential (cisoid) model an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db56d764008d1545287ad7f94c36b8f
https://doi.org/10.12783/dtetr/amma2017/13387
https://doi.org/10.12783/dtetr/amma2017/13387