Results 61 to 70 of about 3,561,036 (197)

Functional Brain Response to Emotional Muical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference

Basic and Clinical Neuroscience, 2021
Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely.
Parisa Naseri, Hamid Alavi Majd, Seyyed Mohammad Tabatabaei, Naghmeh Khadembashi, Seyed Morteza Najibi, Atiye Nazari   +5 more
doaj  

Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy

Computer Graphics Forum, EarlyView.
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley   +1 more source

Assessing the survival time of women with breast cancer in Northwestern Ethiopia: using the Bayesian approach

BMC Women's Health
Background Despite the significant weight of difficulty, Ethiopia's survival rate and mortality predictors have not yet been identified. Finding out what influences outpatient breast cancer patients' survival time was the major goal of this study ...
Chalachew Gashu, Aragaw Eshetie Aguade
doaj   +1 more source

Key agroecosystems for the conservation of amphibians and reptiles in Europe

Conservation Biology, EarlyView.
Abstract Agricultural expansion and intensification are driving amphibian and reptile declines worldwide. However, sustainably managed agroecosystems can support a high diversity of herpetofauna, which play a key role in pest control, reducing crop damage.
Andrea Dalpasso, Stefano Canessa, Mattia Falaschi, Alejandra Moràn‐Ordoñez, Gentile Francesco Ficetola   +4 more
wiley   +1 more source

Integrated nested Laplace approximations for threshold stochastic volatility models [PDF]

Econometrics and Statistics
The aim of the paper is to implement the integrated nested Laplace (INLA) approximations,known to be very fast and efficient, for a threshold stochastic volatility model. INLAreplaces MCMC simulations with accurate deterministic approximations. We use properal though not very informative priors and Penalizing Complexity (PC) priors.
P. de Zea Bermudez, J. Miguel Marín, Håvard Rue, Helena Veiga   +3 more
openaire   +3 more sources

“Exact” and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study

Entropy, 2021
We conduct a case study in which we empirically illustrate the performance of different classes of Bayesian inference methods to estimate stochastic volatility models.
Yuliya Shapovalova
doaj   +1 more source

A spatiotemporal analysis of Salmonella bacteraemia in Queensland, 2010–2019

Internal Medicine Journal, EarlyView.
Abstract Background Salmonellosis contributes to a significant burden on global healthcare systems. The impact of this foodborne bacterium is more pronounced when the infection is invasive, leading to bacteraemia and sepsis. Studies on invasive salmonellosis are few, and there is an urgent need to understand the spatial distribution of bacteraemia and ...
Naveen Manchal, Megan K Young, Maria Eugenia Castellanos, Oyelola A. Adegboye   +3 more
wiley   +1 more source

Traffic prediction at signalised intersections using Integrated Nested Laplace Approximation

, 2021
A Bayesian approach to predicting traffic flows at signalised intersections is considered using the the INLA framework. INLA is a deterministic, computationally efficient alternative to MCMC for estimating a posterior distribution. It is designed for latent Gaussian models where the parameters follow a joint Gaussian distribution.
Townsend, D., Nel, C.
openaire   +2 more sources

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study [PDF]

, 2017
Fitting cross-classified multilevel models with binary response is challenging. In this setting a promising method is Bayesian inference through Integrated Nested Laplace Approximations (INLA), which performs well in several latent variable models.
Innocenti, Francesco; id_orcid, Francesco Innocenti, Grilli, Leonardo, Leonardo Grilli   +3 more
core   +1 more source