Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Christen, J. Andrés"'
Autor:
Christen, J Andres
I present all the details in calculating the posterior distribution of the conjugate Normal-Gamma prior in Bayesian Linear Models (BLM), including correlated observations, prediction, model selection and comments on efficient numeric implementations.
Externí odkaz:
http://arxiv.org/abs/2406.01819
Publikováno v:
In Soil Dynamics and Earthquake Engineering October 2024 185
This article proposes a weighted-variational model as an approximated surrogate model to lessen numerical complexity and lower the execution times of brittle fracture simulations. Consequently, Monte Carlo studies of brittle fractures become possible
Externí odkaz:
http://arxiv.org/abs/2105.09861
We introduce a Bayesian sequential data assimilation method for COVID-19 forecasting. It is assumed that suitable transmission, epidemic and observation models are available and previously validated and the transmission and epidemic models are coded
Externí odkaz:
http://arxiv.org/abs/2103.06152
Autor:
Aquino-López, Marco A, Sanderson, Nicole K., Blaauw, Maarten, Sanchez-Cabeza, Joan-Albert, Ruiz-Fernandez, Ana Carolina, Aquino-López, J Andrés Christen Marco A, Christen, J Andrés
The increasing interest in understanding anthropogenic impacts on the environment have led to a considerable number of studies focusing on sedimentary records for the last $\sim$ 100 - 200 years. Dating this period is often complicated by the poor re
Externí odkaz:
http://arxiv.org/abs/2012.06819
We propose an efficient Bayesian approach to infer a fault displacement from geodetic data in a slow slip event. Our physical model of the slip process reduces to a multiple linear regression subject to constraints. Assuming a Gaussian model for the
Externí odkaz:
http://arxiv.org/abs/2012.05298
The effective reproduction number $R_t$ measures an infectious disease's transmissibility as the number of secondary infections in one reproduction time in a population having both susceptible and non-susceptible hosts. Current approaches do not quan
Externí odkaz:
http://arxiv.org/abs/2012.02168
Handling multimodality that commonly arises from complicated statistical models remains a challenge. Current Markov chain Monte Carlo (MCMC) methodology tackling this subject is based on an ensemble of chains targeting a product of power-tempered dis
Externí odkaz:
http://arxiv.org/abs/2012.02293
We present a compartmental SEIRD model aimed at forecasting hospital occupancy in metropolitan areas during the current COVID-19 outbreak. The model features asymptomatic and symptomatic infections with detailed hospital dynamics. We model explicitly
Externí odkaz:
http://arxiv.org/abs/2006.01873
Autor:
Christen, J Andrés, Parker, Al
In microbial studies, samples are often treated under different experimental conditions and then tested for microbial survival. A technique, dating back to the 1880's, consists of diluting the samples several times and incubating each dilution to ver
Externí odkaz:
http://arxiv.org/abs/2003.09039