Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Matias Quiroz"'
Publikováno v:
Thēmis, Iss 77 (2020)
El Derecho Internacional de las Inversiones hoy en día se encuentra caracterizado por la fragmentación. Esto se debe principalmente a los diferentes estándares de garantía que los Estados otorgan a los inversionistas extranjeros, así como a las
Externí odkaz:
https://doaj.org/article/71f8c956ad244ef8ae71749b316cd758
Autor:
Matias Quiroz, Minh‐Ngoc Tran
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-6
Publikováno v:
Econometrics and Statistics.
Spectral subsampling MCMC was recently proposed to speed up Markov chain Monte Carlo (MCMC) for long stationary univariate time series by subsampling periodogram observations in the frequency domain. This article extends the approach to multivariate
Publikováno v:
Statistics and Computing. 30:1741-1758
We show how to speed up sequential Monte Carlo (SMC) for Bayesian inference in large data problems by data subsampling. SMC sequentially updates a cloud of particles through a sequence of distributions, beginning with a distribution that is easy to s
Publikováno v:
ANZIAM Journal. 61:C181-C196
The Keller–Segel (KS) model is a system of partial differential equations that describe chemotaxis—how cells move in response to chemical stimulus. Simulated data in the form of cell counts are used to carry out Bayesian inference on the ks model
Publikováno v:
Bayesian Analysis.
Publikováno v:
Thēmis, Iss 77 (2020)
El Derecho Internacional de las Inversiones hoy en día se encuentra caracterizado por la fragmentación. Esto se debe principalmente a los diferentes estándares de garantía que los Estados otorgan a los inversionistas extranjeros, así como a las
Publikováno v:
Sankhya A. 80:33-69
The rapid development of computing power and efficient Markov Chain Monte Carlo (MCMC) simulation algorithms have revolutionized Bayesian statistics, making it a highly practical inference method in applied work. However, MCMC algorithms tend to be c
Publikováno v:
Methodological Innovations, Vol 17 (2024)
This article presents a methodology that combines methods of architectural representation with qualitative social science research to study housing, particularly, home-based work. Studies of home-based work have specialised in discussing the complexi
Externí odkaz:
https://doaj.org/article/2fb0268f57a343298bc5c94a6816e291
Autor:
Victoria Lambert, Eve McDonald-Madden, Matias Quiroz, Scott A. Sisson, Len J. McKenzie, Edwin J.Y. Koh, Katherine R. O'Brien, Catherine J. Collier, Matthew P. Adams, Maria P. Vilas
Publikováno v:
Environmental Modelling & Software. 130:104717
Seagrass ecosystems are increasingly subjected to multiple interacting stressors, making the consequent trajectories difficult to predict. Here, we present a new process-based model of seagrass decline in response to cumulative light and temperature