Zobrazeno 1 - 10
of 1 224
pro vyhledávání: '"Berger, James"'
Autor:
Whitaker, Ross, Thompson, William, Berger, James, Fischhof, Baruch, Goodchild, Michael, Hegarty, Mary, Jermaine, Christopher, McKinley, Kathryn S., Pang, Alex, Wendelberger, Joanne
Modern science, technology, and politics are all permeated by data that comes from people, measurements, or computational processes. While this data is often incomplete, corrupt, or lacking in sufficient accuracy and precision, explicit consideration
Externí odkaz:
http://arxiv.org/abs/2004.12939
Autor:
Galvin, Cooper J., Hobson, Matthew, Meng, Jonathan Xianglong, Ierokomos, Athena, Ivanov, Ivan E., Berger, James M., Bryant, Zev
Publikováno v:
In Journal of Biological Chemistry
The median probability model (MPM) Barbieri and Berger (2004) is defined as the model consisting of those variables whose marginal posterior probability of inclusion is at least 0.5. The MPM rule yields the best single model for prediction in orthogo
Externí odkaz:
http://arxiv.org/abs/1807.08336
Gaussian stochastic process emulation is a powerful tool for approximating computationally intensive computer models. However, estimation of parameters in the GaSP emulator is a challenging task. No closed-form estimator is available and many numeric
Externí odkaz:
http://arxiv.org/abs/1801.01874
Autor:
Peña, Víctor, Berger, James O.
In this note, we provide critical commentary on two articles that cast doubt on the validity and implications of Birnbaum's theorem: Evans (2013) and Mayo (2014). In our view, the proof is correct and the consequences of the theorem are alive and wel
Externí odkaz:
http://arxiv.org/abs/1711.08093
Autor:
Peña, Víctor, Berger, James O.
In Bayesian hypothesis testing and model selection, prior distributions must be chosen carefully. For example, setting arbitrarily large prior scales for location parameters, which is common practice in estimation problems, can lead to undesirable be
Externí odkaz:
http://arxiv.org/abs/1711.08072
Informally, "Information Inconsistency" is the property that has been observed in many Bayesian hypothesis testing and model selection procedures whereby the Bayesian conclusion does not become definitive when the data seems to become definitive. An
Externí odkaz:
http://arxiv.org/abs/1710.09700
We consider estimation of the parameters of a Gaussian Stochastic Process (GaSP), in the context of emulation (approximation) of computer models for which the outcomes are real-valued scalars. The main focus is on estimation of the GaSP parameters th
Externí odkaz:
http://arxiv.org/abs/1708.04738