Jul 5, 2023 README MIT license Overview gcsim is a Monte Carlo simulation tool used to model Genshin Impact's combat. The user can input a set of characters, targets, options, and actions to perform, and then gcsim executes these actions. It outputs a variety of results, such as mean...
The parameters (θ, ν, μ, and α) were estimated by Hamiltonian Monte Carlo, assuming hyperpriors that yielded reasonable uncertainty for the health benefits analysis (shown in Table S3). Finally, we defined the counterfactual level at WHOcf∼Uniform(10,15) for PM10 and WHOcf∼Uniform(...
We try to answer this question on the basis of Monte Carlo simulations based on the Dynamic Lattice Liquid (DLL) model. Based on the concept of cooperative movements, this model has a unique feature that allows one to take into account the correlation of movements between ...
ArticleGoogle Scholar Chin, W. W., Marcolin, B. L. & Newsted, P. R. A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study.Inf. Syst. Res.14, 189–217 (2003). ...
Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58(2):277–297. https://doi.org/10.2307/2297968 Article Google Scholar Arellano M, Bover O (1995) Another look at the instrumental variable...
As reported by the Fourth IMO GHG emission study [2], the results from the Monte Carlo analysis for international shipping CO2-equivalent emissions indicate that the uncertainty in the average CO2-equivalent emission factor is relatively small and set as 2.68% standard deviation of mean. However,...
Efficient dispatching for on-demand ride services: systematic optimization via Monte-Carlo tree search Transp. Res. Part C Emerg. Technol. (2021) C.F.Daganzoet al. Analysis of ride-sharing with service time and detour guarantees Transp. Res. Part B Methodol. ...
(2023). Finite-Sample Properties of the Maximum Likelihood Estimator in GARCH(1,1) and IGARCH(1,1) Models: A Monte Carlo Investigation. Google Scholar Mariana et al., 2021 C.D. Mariana, I.A. Ekaputra, Z.A. Husodo Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19...
6.1 Markov chain Monte Carlo (MCMC) We use MCMC to estimate the parameters and set to sample 10,000 times. When using the MCMC algorithm to sample, the results before convergence are not stable distribution. We discard the first 1000 results, that is, delete the results in the “burn-in...
The free parameters of the model are calibrated through an Approximate Bayesian Computation based on Sequential Monte Carlo (ABC-SMC)29,30. The free parameters investigated are: the transmission rate β; we explore uniformly values such that the reproductive number Rt on the first simulation date ...