Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wanchuang Zhu"'
Autor:
Wanchuang Zhu, Roman Marchant, Richard W. Morris, Louise A. Baur, Stephen J. Simpson, Sally Cripps
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-13 (2023)
Abstract Background When tackling complex public health challenges such as childhood obesity, interventions focused on immediate causes, such as poor diet and physical inactivity, have had limited success, largely because upstream root causes remain
Externí odkaz:
https://doaj.org/article/b8e8c5423b3f43deb4ed1585e0c700f6
Autor:
Wanchuang Zhu, Yanan Fan
Publikováno v:
Computational Statistics. 38:749-777
We propose a new scalable method to approximate the intractable likelihood of the Potts model. The method decomposes the original likelihood into products of many low-dimensional conditional terms, and a Monte Carlo method is then proposed to approxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adf114bea3bc6192afcacf46155a8d13
https://doi.org/10.1007/s00180-022-01256-x
https://doi.org/10.1007/s00180-022-01256-x
Autor:
Wanchuang Zhu, Roman Marchant, Richard W Morris, Louise A Baur, Stephen J Simpson, Sally Cripps
Background When tackling complex public health challenges such as childhood obesity, interventions focused on immediate causes, such as poor diet and physical inactivity, have had limited success, largely because upstream root causes remain unresolve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26aaea8a7183a8f7e3b5ba78d43fac98
https://doi.org/10.1101/2022.11.23.22282647
https://doi.org/10.1101/2022.11.23.22282647
Publikováno v:
Journal of the American Statistical Association. 118:343-359
Learning how to aggregate ranking lists has been an active research area for many years and its advances have played a vital role in many applications ranging from bioinformatics to internet commerce. The problem of discerning reliability of rankers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c38553238b6baee085ab61377d7a6489
https://doi.org/10.1080/01621459.2021.1930547
https://doi.org/10.1080/01621459.2021.1930547
Autor:
Yanan Fan, Wanchuang Zhu
Publikováno v:
Journal of Computational and Graphical Statistics. 27:59-70
The pseudo likelihood method of Besag (1974) has remained a popular method for estimating Markov random field on a very large lattice, despite various documented deficiencies. This is partly because it remains the only computationally tractable metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8197e55da35849868fb8a9b1b7545000
https://doi.org/10.1080/10618600.2017.1317263
https://doi.org/10.1080/10618600.2017.1317263
Autor:
Wanchuang Zhu, Yothin Rakvongthai, Dustin Wooten, Nicolas Guehl, Yanan Fan, G. El Fakhri, Marc D. Normandin, Jinsong Ouyang
Publikováno v:
Medical Physics. 43:1222-1234
We present a fully Bayesian statistical approach to the problem of compartmental modelling in the context of Positron Emission Tomography. We cluster homogeneous region of interest and perform kinetic parameter estimation simultaneously. A mixture mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384297b7a98a94eb8197adb1b31cf98e
https://doi.org/10.1118/1.4941010
https://doi.org/10.1118/1.4941010
Publikováno v:
FUSION
Continuous-time autoregressive (CAR) model is very powerful when modeling many real world continuous processes. When the model is driven by Brownian motion, parameter inference is usually based on the likelihood calculation using the Kalman filter; w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c5da79587b8eac809d26c9106c7dff
https://doi.org/10.23919/icif.2018.8455660
https://doi.org/10.23919/icif.2018.8455660