Results 41 to 50 of about 14,253 (214)
Modeling and Estimation for Self-Exciting Spatio-Temporal Models of Terrorist Activity [PDF]
, 2017 Spatio-temporal hierarchical modeling is an extremely attractive way to model the spread of crime or terrorism data over a given region, especially when the observations are counts and must be modeled discretely.
Clark, Nicholas +2 more
core +4 more sources
Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap [PDF]
, 2017 EPSRC grant Ecowatt 2050 EP/K012851/1 ACKNOWLEDGMENTS We would like to thank the associate editor and the anonymous reviewers for their useful and constructive suggestions which led to a considerable improvement of the manuscript.
Dominicis, Michela De +5 more
core +2 more sources
Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations [PDF]
Journal of Agricultural, Biological and Environmental Statistics, 2019 Paleoclimate reconstruction on the Common Era (1-2000AD) provide critical context for recent warming trends. This work leverages integrated nested Laplace approximations (INLA) to conduct inference under a Bayesian hierarchical model using data from three sources: a state-of-the-art prox database (PAGES 2k), surface temperature observations (HadCRUT4),
Luis A. Barboza +3 more
openaire +2 more sources
INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes [PDF]
, 2012 We investigate two options for performing Bayesian inference on spatial log-Gaussian Cox processes assuming a spatially continuous latent field: Markov chain Monte Carlo (MCMC) and the integrated nested Laplace approximation (INLA). We first describe the
Diggle, Peter J., Taylor, Benjamin M.
core +1 more source
BMC Women's Health, 2023 Background Cervical cancer is the 4th most common cancer in women worldwide. as well as the 4th most common cause of cancer-related death. The main objective of this study was to identify factors that affect the survival time of outpatients with cervical
Chalachew Gashu +3 more
doaj +1 more source
A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting [PDF]
, 2019 Renewable sources of energy such as wind power have become a sustainable alternative to fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived from its intermittent nature bring a great threat to the wind power ...
Castro-Camilo, Daniela +2 more
core +2 more sources
Journal of Transportation Safety & Security, 2020 Improving traffic safety is a priority of most transportation agencies around the world. As part of traffic safety management strategies, efforts have focused on developing more accurate crash-frequency models and on identifying contributing factors in ...
Romi Satria +2 more
semanticscholar +1 more source
On model selection forecasting, Dark Energy and modified gravity [PDF]
, 2007 The Fisher matrix approach (Fisher 1935) allows one to calculate in advance how well a given experiment will be able to estimate model parameters, and has been an invaluable tool in experimental design.
A. F. Heavens +52 more
core +2 more sources
Mathematics, 2021 In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them with the widely used Besag ...
Mabel Morales-Otero +1 more
doaj +1 more source
Integrated Nested Laplace Approximations (INLA)
, 2019 This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
openaire +2 more sources