Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Mark Berliner"'
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0286624 (2023)
Advances in observational and computational assets have led to revolutions in the range and quality of results in many science and engineering settings. However, those advances have led to needs for new research in treating model errors and assessing
Externí odkaz:
https://doaj.org/article/7ccd20ca28034e6f86fecae58926402a
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0173453 (2017)
We examine the performance of a strategy for Markov chain Monte Carlo (MCMC) developed by simulating a discrete approximation to a stochastic differential equation (SDE). We refer to the approach as diffusion MCMC. A variety of motivations for the ap
Externí odkaz:
https://doaj.org/article/c38970f7fe254ca9a8a759a72c244f9d
Publikováno v:
In Atmospheric Environment 2005 39(8):1373-1382
Autor:
Jenný Brynjarsdóttir, L. Mark Berliner
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 4:902-923
As reliance on computer modeling increases, scientists and engineers often produce ensembles of model runs from multiple models. Combining such multi-model ensembles while managing uncertainties is a challenging problem. We embed the problem into a B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ebabc2476a6c5b7ffe53a6ecff4e76
https://doi.org/10.1137/130928339
https://doi.org/10.1137/130928339
Publikováno v:
Journal of the Korean Statistical Society. 44:261-270
In Bayesian statistics, a model can be assessed by checking that the model fits the data, which is addressed by using the posterior predictive distribution for a discrepancy, an extension of classical test statistics to allow dependence on unknown (n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61b41bb4a96d05c4777913da556aa01c
https://doi.org/10.1016/j.jkss.2014.09.002
https://doi.org/10.1016/j.jkss.2014.09.002
Autor:
A. Bonazzi, Christopher K. Wikle, Srdjan Dobricic, L. Mark Berliner, Nadia Pinardi, Ralph F. Milliff
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 137:879-893
This article analyzes the ocean forecast response to surface vector wind (SVW) distributions generated by a Bayesian hierarchical model (BHM) developed in Part I of this series. A new method for ocean ensemble forecasting (OEF), the so-called BHM-SVW
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f94595ae88c99e108e51baea8fa298a7
https://doi.org/10.1002/qj.816
https://doi.org/10.1002/qj.816
Autor:
Jenný Brynjarsdóttir, L. Mark Berliner
Publikováno v:
Journal of the American Statistical Association. 109:1647-1659
The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. The classical approach to spatial and spatio-temporal modeling is very computationally demanding when datasets are large, which has l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18152455bdf200f61ad83cd6d9646540
https://doi.org/10.1080/01621459.2014.904232
https://doi.org/10.1080/01621459.2014.904232
Autor:
Radu Herbei, L. Mark Berliner
Publikováno v:
Journal of the American Statistical Association. 109:944-954
We provide a Bayesian analysis of ocean circulation based on data collected in the South Atlantic Ocean. The analysis incorporates a reaction-diffusion partial differential equation that is not solvable in closed form. This leads to an intractable li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3a51478878ee08325f0c75045ab07a
https://doi.org/10.1080/01621459.2014.914439
https://doi.org/10.1080/01621459.2014.914439
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 141:182-194
A new method to estimate the vertical part of the background-error covariance matrix for an ocean variational data assimilation system is presented and tested in the Mediterranean operational daily analysis system. The operational, seasonally varying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b73d91af7e144cd500503c92a5ad4da4
https://doi.org/10.1002/qj.2348
https://doi.org/10.1002/qj.2348
Autor:
Daniel A. Chamovitz, Alin Finkelshtein, Shanmuhapreya Dhanapal, Brijesh Singh Yadav, Amit Kumar Singh, Mark Berliner
Publikováno v:
Biomolecules
Volume 9
Issue 12
Volume 9
Issue 12
The COP9 (constitutive photomorphogenesis 9) signalosome (CSN) is an evolutionarily conserved protein complex which regulates various growth and developmental processes. However, the role of CSN during environmental stress is largely unknown. Using A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e72d7a9ba1b9129e4ef2f618c4fd0e8c
https://doi.org/10.3390/biom9120805
https://doi.org/10.3390/biom9120805