Zobrazeno 1 - 10
of 1 684
pro vyhledávání: '"bayesian model selection"'
Autor:
Venkatraman, Aditya a, Johnson, Camilla E. b, McDowell, David L. a, b, Kalidindi, Surya R. a, b, ⁎
Publikováno v:
In International Journal of Mechanical Sciences 1 January 2025 285
Autor:
Friston, Karl J. a, b, Da Costa, Lancelot a, b, c, Tschantz, Alexander b, f, ⁎, Kiefer, Alex b, Salvatori, Tommaso b, Neacsu, Victorita a, Koudahl, Magnus b, Heins, Conor b, Sajid, Noor a, Markovic, Dimitrije e, Parr, Thomas d, Verbelen, Tim b, Buckley, Christopher L. b, f
Publikováno v:
In Biological Psychology November 2024 193
Publikováno v:
In Journal of Hydrology June 2024 637
Autor:
Jaeseong Yoo, Jihoon Moon
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2682 (2024)
How to effectively predict outcomes when initial time series data are limited remains unclear. This study investigated the efficiency of Bayesian model selection to address the lack of initial data for time series analysis, particularly in cold-start
Externí odkaz:
https://doaj.org/article/8e6febfd30574d21a28f3faaaedf0e19
Publikováno v:
In Electoral Studies February 2024 87
Publikováno v:
Yuanzineng kexue jishu, Vol 57, Iss 4, Pp 784-790 (2023)
The equation of state (EoS) of neutron star matter plays a key role in both the structure and evolution of a neutron star. However, as lattice QCD faces significant difficulties in simulating dense matter, only effective models can be relied on to un
Externí odkaz:
https://doaj.org/article/5daab345f7c74669ba91a32d561e57ba
Autor:
Melih Barsbey, Ali Taylan Cemgil
Publikováno v:
IEEE Access, Vol 11, Pp 85770-85784 (2023)
Accurately representing periodic behavior is a frequently encountered challenge in modeling time series. This is especially true for observations where multiple, nested seasonalities are present, which is often encountered in data that pertain to col
Externí odkaz:
https://doaj.org/article/97dd10a581c84acfba452c7930c06535
Publikováno v:
Stats, Vol 6, Iss 1, Pp 169-191 (2023)
Zellner’s objective g-prior has been widely used in linear regression models due to its simple interpretation and computational tractability in evaluating marginal likelihoods. However, the g-prior further allows portioning the prior variability ex
Externí odkaz:
https://doaj.org/article/49e892a46ce54894a0c1262db99fbd22
Autor:
Bomarito, G.F. a, ⁎, 1, Leser, P.E. a, ⁎, 1, Strauss, N.C.M. b, Garbrecht, K.M. b, Hochhalter, J.D. b
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2023 403 Part A
Autor:
Porter, Erica May
Bayesian model selection is a useful tool for identifying an appropriate model class, dependence structure, and valuable predictors for a wide variety of applications. In this work we consider objective Bayesian model selection where no subjective in
Externí odkaz:
http://hdl.handle.net/10919/115642
