Results 71 to 80 of about 14,253 (214)
Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009
Geospatial Health, 2011 Bluetongue (BT) is a vector-borne viral disease of ruminants. The infection is widespread globally with major implications for international animal trade and production.
Katriina J. E. Willgert +2 more
doaj +1 more source
“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 Bayes factor framework for unified parameter estimation and hypothesis testing
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Bayesian joint spatio-temporal analysis of multiple diseases [PDF]
, 2019 In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects.
Fernández-Navarro, Pablo +4 more
core
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 +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
An Extended Laplace Approximation Method for Bayesian Inference of Self-Exciting Spatial-Temporal Models of Count Data [PDF]
, 2017 Self-Exciting models are statistical models of count data where the probability of an event occurring is influenced by the history of the process. In particular, self-exciting spatio-temporal models allow for spatial dependence as well as temporal self ...
Clark, Nicholas +2 more
core +2 more sources
BMC Women's HealthBackground 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
Genetic susceptibility, colony size, and water temperature drive white-pox disease on the coral Acropora palmata. [PDF]
PLoS ONE, 2014 Outbreaks of coral diseases are one of the greatest threats to reef corals in the Caribbean, yet the mechanisms that lead to coral diseases are still largely unknown. Here we examined the spatial-temporal dynamics of white-pox disease on Acropora palmata
Erinn M Muller, Robert van Woesik
doaj +1 more source
Geospatial Health, 2018 Cardiovascular diseases (CVDs) are the leading cause of death globally and the number one cause of death globally. Over 75% of CVD deaths take place in low- and middle-income countries.
Melkamu Dedefo +3 more
semanticscholar +1 more source