Zobrazeno 1 - 10
of 2 025
pro vyhledávání: '"Carvalho, Luiz"'
In face of climate change and increasing urbanization, the predictive mosquito-borne diseases (MBD) transmission models require constant updates. Thus, is urgent to comprehend the driving forces of this non stationary behavior, observed through spati
Externí odkaz:
http://arxiv.org/abs/2411.13680
Autor:
Ganem, Fabiana, Vacaro, Luã Bida, Araujo, Eduardo Correa, Alves, Leon Diniz, Bastos, Leonardo, Carvalho, Luiz Max, Almeida, Iasmim, de Sá, Asla Medeiros, Coelho, Flávio Codeço
Dengue is a climate-sensitive mosquito-borne disease with a complex transmission dynamic. Data related to climate, environmental and sociodemographic characteristics of the target population are important for project scenarios. Different datasets and
Externí odkaz:
http://arxiv.org/abs/2410.18945
Phylogenetic trees constitute an interesting class of objects for stochastic processes due to the non-standard nature of the space they inhabit. In particular, many statistical applications require the construction of Markov processes on the space of
Externí odkaz:
http://arxiv.org/abs/2410.17919
Autor:
Araujo, Eduardo C., Codeço, Claudia T., Loch, Sandro, Vacaro, Luã B., Freitas, Laís P., Lana, Raquel M., Bastos, Leonardo S., de Almeida, Iasmim F., Valente, Fernanda, Carvalho, Luiz M., Coelho, Flávio C.
The influence of climate on mosquito-borne diseases like dengue and chikungunya is well-established, but comprehensively tracking long-term spatial and temporal trends across large areas has been hindered by fragmented data and limited analysis tools
Externí odkaz:
http://arxiv.org/abs/2407.21286
GFlowNets are a promising alternative to MCMC sampling for discrete compositional random variables. Training GFlowNets requires repeated evaluations of the unnormalized target distribution or reward function. However, for large-scale posterior sampli
Externí odkaz:
http://arxiv.org/abs/2406.03288
The power prior is a popular class of informative priors for incorporating information from historical data. It involves raising the likelihood for the historical data to a power, which acts as a discounting parameter. When the discounting parameter
Externí odkaz:
http://arxiv.org/abs/2404.02453
Autor:
Brusselmans, Marius, Carvalho, Luiz Max, Hong, Samuel L., Gao, Jiansi, Matsen IV, Frederick A., Rambaut, Andrew, Lemey, Philippe, Suchard, Marc A., Dudas, Gytis, Baele, Guy
Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the posterior distribution. These algorithms require careful evaluation of the quality of t
Externí odkaz:
http://arxiv.org/abs/2402.11657