Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jonah Gabry"'
Autor:
Philip Greengard, Jeremy Hoskins, Charles C. Margossian, Jonah Gabry, Andrew Gelman, Aki Vehtari
Publikováno v:
Bayesian Analysis.
One of the common goals of time series analysis is to use the observed series to inform predictions for future observations. In the absence of any actual new data to predict, cross-validation can be used to estimate a model's future predictive accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cda258052c7defb3c5dce02b526fc410
https://aaltodoc.aalto.fi/handle/123456789/103300
https://aaltodoc.aalto.fi/handle/123456789/103300
Autor:
Leonardo Egidi, Jonah Gabry
Publikováno v:
Journal of Quantitative Analysis in Sports. 14:143-157
Although there is no consensus on how to measure and quantify individual performance in any sport, there has been less development in this area for soccer than for other major sports. And only once this measurement is defined, does modeling for predi
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 14, Iss 2, Pp 99-119 (2018)
This tutorial provides a pragmatic introduction to specifying, estimating and interpreting single-level and hierarchical linear regression models in the Bayesian framework. We start by summarizing why one should consider the Bayesian approach to the
Publikováno v:
The American Statistician. 73:307-309
The usual definition of R 2 (variance of the predicted values divided by the variance of the data) has a problem for Bayesian fits, as the numerator can be larger than the denominator. We propose an alternative definition similar to one that has appe
Publikováno v:
Journal of Clinical Anesthesia. 42:77-83
We investigated if human reminder phone calls in the patient's preferred language increase adherence with scheduled appointments in an inner-city chronic pain clinic. We hypothesized that language and cultural incongruence is the underlying mechanism
Autor:
Mark Baillie, Peter J. Diggle, Raphaël Huser, Michael Friendly, Francesco Finazzi, Ying Sun, Andrew Gelman, Allan Reese, Andrew Zammit-Mangion, Priyantha Wijayatunga, Thomas S. King, Alasdair Noble, Noel A Cressie, Marc Vandemeulebroecke, Marc G. Genton, Wayne R. Jones, Jackie Carter, Michael Betancourt, Zhou Fang, Stefano Castruccio, Daniel Simpson, Luigi Lombardo, Anthony C. Atkinson, Aki Vehtari, Tanja Krone, Adrian Bowman, Jonah Gabry, Aldo Corbellini, Lasse Holmström, Peter H.R. Green, Alessandro Fasso, Miguel de Carvalho, Gianluca Morelli, Christopher Jackson, Jorge Mateu
Visualizing both conditional and marginal associations in contingency tables by using simple diagrams is discussed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1baa78b5e7d64706cacd2072ecce986e
http://hdl.handle.net/10446/142800
http://hdl.handle.net/10446/142800
Cross-validation can be used to measure a model's predictive accuracy for the purpose of model comparison, averaging, or selection. Standard leave-one-out cross-validation (LOO-CV) requires that the observation model can be factorized into simple ter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb58d3379eed01ccd6dc49f8fcd99c17
Publikováno v:
Anesthesia and analgesia. 126(2)
BACKGROUND: US health care disparities persist despite repeated countermeasures. Research identified race, ethnicity, gender, and socioeconomic status as factors, mediated through individual provider and/or systemic biases; little research exists in
Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains. Practical Bayesian data analysis, like all data analysis, is an iterative process of model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a98b36dba271068dcfb42a10dc3fec3
http://arxiv.org/abs/1709.01449
http://arxiv.org/abs/1709.01449