Results 121 to 130 of about 3,307,614 (190)

The association of climate-induced stressors on risk of negative sentiment: An analysis from 462 million geotagged tweets in Europe

iScience
Summary: This study examines how climate-induced health risks influence negative sentiments on European social tweets from 2015 to 2022. Analyzing over 400 million tweets using NLP tools (NLTK, LIWC22) and spatial-temporal aggregation at the NUTS2 weekly
Tareq Al-Ahdal, Sandra Barman, Barrak Alahmad, Stella Dafka, Elisa Gallo, Joan Ballester, Mikhail Sofiev, Marina Romanello, Till Bärnighausen, Michael Gertz, Joacim Rocklöv   +10 more
doaj   +1 more source

Implementing approximate Bayesian inference for survival analysis using integrated nested Laplace approximations

, 2010
This manual describes theinla program, a new instrument which allows the user to easily perform approximate Bayesian inference using integrated nested Laplace approximation (INLA). We describe the set of models which can be solved by the inla program and
Sara Martino
core  

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

Geophysical Research Letters
Understanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee, Daniel T. Trugman, Greg Hirth, Jaeseok Lee, Victor C. Tsai   +4 more
doaj   +1 more source

Modeling automobile insurance premium via integrated nested laplace approximation (INLA)

, 2016
In this dissettation we carried out Bayesian analysis for auto insurance data using latent Gaussian models. Such class of models include generalized linear (mixed) models and can take various structures, such as temporal, spatial and spatiotemporal. To
Mélo, Marcel Irving Pereira
core  

Bayesian spatio-temporal modeling for policy evaluation: Sensitivity of policy effect estimates in the context of COVID-19 stay-at-home orders.

PLoS ONE
This study applies a Bayesian spatio-temporal model to demonstrate the sensitivity of policy effect estimates to spatial and temporal structure, using COVID-19 stay-at-home orders as a case study.
Pyung Kim, Sunghye Choi, Dohyeong Kim, Chang-Kil Lee   +3 more
doaj   +1 more source

Integrated Nested Laplace Approximations within Monte Carlo Methods

, 2020
Integrated Nested Laplace Approximations (INLA) er en deterministisk metode for å oppnå bayesiansk inferens på latente gaussiske modeller (LGMer) og fokuserer på raske og nøyaktige approksimasjoner av marginale posteriori-fordelinger for parametrene i en modell.
openaire   +1 more source

A flexible multi-scale spatio-temporal modeling approach for disentangling meteorological and anthropogenic drivers of air pollution

International Journal of Applied Earth Observations and Geoinformation
Geographical systems are inherently hierarchical, involving potential cross-scale interactions, as well as spatial dependencies and heterogeneities at each level of the geographic hierarchy.
Dongyang Yang, Guanpeng Dong
doaj   +1 more source

Automated Detection of Infectious Disease Outbreaks [PDF]

, 2010
Manitz, Juliane
core   +1 more source

Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood [PDF]

We propose non-nested tests for competing conditional moment resctriction models using a method of empirical likelihood. Our tests are based on the method of conditional empirical likelihood developed by Kitamura, Tripathi and Ahn (2004) and Zhang and ...
Taisuke Otsu, Yoon-Jae Whang
core  

Estimating the expected value of partial perfect information in health economic evaluations using integrated nested Laplace approximation. [PDF]

Stat Med, 2016
Heath A, Manolopoulou I, Baio G.
europepmc   +1 more source