Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Daniel R. Kowal"'
3
Bayesian Function-on-Scalars Regression for High-Dimensional Data
Autor: Daniel C. Bourgeois, Daniel R. Kowal
Publikováno v: Journal of Computational and Graphical Statistics. 29:629-638
We develop a fully Bayesian framework for function-on-scalars regression with many predictors. The functional data response is modeled nonparametrically using unknown basis functions, which produce...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::038f7e18f7d0e6b09ab303408dfce994
https://doi.org/10.1080/10618600.2019.1710837
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5
Sex-dependent correlates of arterial stiffness in Tanzanian adults
Autor: Nick Gargurevich, Salama Fadhil, Bernard Desderius, Julie C Karand, Joanne Zhou, Yumna Ladha, Karl Reis, Rachel Rosengard, Robert N. Peck, Daniel R. Kowal, Ponsiano F Stephano
Publikováno v: Tropical medicineinternational health : TMIHREFERENCES. 26(11)
OBJECTIVE Arterial stiffness is a known indicator for cardiovascular disease. However, the factors that lead to arterial stiffening have primarily been studied in participants from high-income countries. Here, we examine clinical and lifestyle metric
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03b52a46f1a9de2021944973e4f8e887
https://pubmed.ncbi.nlm.nih.gov/34478605
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6
Stochastic clustering and pattern matching for real-time geosteering
Autor: Yinsen Miao, Marina Vannucci, Mingqi Wu, Faming Liang, Jeremy Vila, Neilkunal Panchal, Daniel R. Kowal
Publikováno v: GEOPHYSICS. 84:ID13-ID24
We have developed a Bayesian statistical framework for quantitative geosteering in real time. Two types of contemporary geosteering approaches, model based and stratification based, are introduced. The latter is formulated as a Bayesian optimization
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d55e02efe2ba651f1a877a9dd71d21d
https://doi.org/10.1190/geo2018-0781.1
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7
Bayesian Variable Selection for Understanding Mixtures in Environmental Exposures
Autor: Alexander A. T. Bui, Mercedes A. Bravo, Robert J. Griffin, Henry Leong, Daniel R. Kowal, Katherine B. Ensor, Marie Lynn Miranda
Publikováno v: Stat Med
Social and environmental stressors are crucial factors in child development. However, there exists a multitude of measurable social and environmental factors—the effects of which may be cumulative, interactive, or null. Using a comprehensive cohort
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa0707072b482f0f7553fa9debcc0c2e
https://europepmc.org/articles/PMC8440371/
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8
Dynamic Regression Models for Time-Ordered Functional Data
Autor: Daniel R. Kowal
Publikováno v: Bayesian Analysis. 16
For time-ordered functional data, an important yet challenging task is to forecast functional observations with uncertainty quantification. Scalar predictors are often observed concurrently with functional data and provide valuable information about
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::785918756365182e378fef74cc353971
https://doi.org/10.1214/20-ba1213
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10
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis
Autor: Daniel R. Kowal
Publikováno v: J Am Stat Assoc
Prediction is critical for decision-making under uncertainty and lends validity to statistical inference. With targeted prediction, the goal is to optimize predictions for specific decision tasks of interest, which we represent via functionals. Altho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dce66a259989fe28c9c923502b5ed537
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