Results 51 to 60 of about 3,307,614 (190)

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

Econometrics and Statistics
Abstract The aim is to implement the integrated nested Laplace approximations (INLA), known to be very fast and efficient, for estimating the parameters of the threshold stochastic volatility (TSV) model. INLA replaces Markov chain Monte Carlo (MCMC) simulations with accurate deterministic approximations. Weakly informative proper priors are used, as
P. de Zea Bermudez, J. Miguel Marín, Håvard Rue, Helena Veiga   +3 more
openaire   +2 more sources

Loss‐Aware Forecast Construction for Realized Variance

Journal of Forecasting, EarlyView.
ABSTRACT Forecasts of realized variance are commonly constructed from models of log‐realized variance and then transformed back to the original scale. However, the resulting forecasts are often evaluated using loss functions defined in relative rather than absolute terms, creating a potential mismatch between forecast construction and forecast ...
Nick Taylor
wiley   +1 more source

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, Birgit Schroedle, Heinzpeter Schwermer   +2 more
doaj   +1 more source

Using Integrated Nested Laplace Approximations for Modelling Spatial Healthcare Utilization

, 2012
In recent years, spatial and spatio-temporal modeling have become an important area of research in many fields (epidemiology, environmental studies, disease mapping). In this work we propose different spatial models to study hospital recruitment, including some potentially explicative variables.
MUSIO, MONICA, Sauleau E. A, MAMELI, VALENTINA   +2 more
openaire   +4 more sources

Geographical Pattern of Testicular Cancer Points to Maternal Exposures Behind Increasing Incidence

International Journal of Cancer, EarlyView.
ABSTRACT Evidence suggests that testicular cancer (TC) originates from germ cell neoplasia in situ arising during fetal development, implying that prenatal environmental exposures may influence disease risk. We investigated whether maternal place of residence during pregnancy is associated with regional variation in TC incidence.
Antti Kaipia, Karri Seppä, Elli Hirvonen, Eetu Mäkinen, Nea Malila, Janne Pitkäniemi, Jorma Toppari, Peter Boström, Heikki Seikkula   +8 more
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

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  

“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

easyGBDR: An Integrated R Toolkit for Comprehensive Secondary Analysis of Global Burden of Disease Database

Med Research, EarlyView.
ABSTRACT The Global Burden of Disease (GBD) database provides essential primary data for public health research. However, its complexity and diversity pose challenges for conducting advanced secondary analyses. To address these challenges, we developed easyGBDR, an innovative integrated R toolkit designed to facilitate the secondary analysis of GBD ...
Yingying Fang, Zeyu Li, Yiming Song, Xiaolu Lin, Xiaojie Huang, Kang Wang, Quan Gan, Xu Zhang, Qingwei Zhang, Xiaobo Li   +9 more
wiley   +1 more source

A Comparison of Nonergodic Ground-Motion Models based on Geographically Weighted Regression and the Integrated Nested Laplace Approximation

, 2021
Different nonergodic Ground-Motion Models based on spatially varying coefficient models are compared for ground-motion data in Italy. The models are based different methodologies: Multi-source geographically weighted regression (Caramenti et al., 2020 ...
Nicolas Kuehn
core   +1 more source