Results 31 to 40 of about 66,786 (305)
, 2022 First stable release linked to Zenodo. Relevant features: Autoregressive neural networks (MADE, PixelCNN); Monte Carlo methods (SSF-MCMC, N-MCMC, H-MCMC)
Giuseppe Scriva
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Population pharmacokinetics analysis in Lixoft Monolix softwares
Фармакокинетика и Фармакодинамика, 2022 The article has discussed a step-by-step algorithm for developing population pharmacokinetics models in the Lixoft Monolix software. Features of population pharmacokinetics study’s methodology have described.
A. I. Platova
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Locking phenomena in finite element analysis of deep beam and removal method
Vietnam Journal of Mechanics, 2005 Since earlier 30 years ago, Finite Element Methods (FEM) has become an indispensable tool of engineers for analysis mechanical behaviour of structures. Generally displacement models are used in most usual problems.
Nguyen Thang Hoa, Tran Ich Thinh
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JOIV: International Journal on Informatics Visualization, 2022 Kali Kupang plays an important role in the life of the people of Pekalongan and its surrounding areas. However, until recently, not many hydrological studies have been carried out in this area.
Sandy H. S. Herho
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bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
Journal of Statistical Software, 2018 In this paper we present the R package bamdit. The name of the package stands for "Bayesian meta-analysis of diagnostic test data". bamdit was developed with the aim of simplifying the use of models in meta-analysis, that up to now have demanded great ...
Pablo Emilio Verde
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Barekeng, 2022 Cervical cancer is the most common cancer that causes death in women. This cancer is mainly caused by Human Papilloma Virus (HPV). It is estimated that 52 million of Indonesian women are at risk of having cancer, and 36% of female cancer patients suffer ...
Nur Mahmudah, Fetrika Anggraini
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Classification of chirp signals using hierarchical bayesian learning and MCMC methods [PDF]
, 2002 This paper addresses the problem of classifying chirp signals using hierarchical Bayesian learning together with Markov chain Monte Carlo (MCMC) methods.
Davy, Manuel +5 more
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An improved method of groundwater model structural uncertainty analysis
Shuiwen dizhi gongcheng dizhi, 2021 Gaussian Process Regression (GPR) is a supervised learning algorithm based on Bayesian theory, which is widely used in model structural uncertainty analysis based on data-driven method (DDM).
Xiaozhuo SUN +3 more
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Aquifer hydraulic conductivity prediction via coupling model of MCMC-ANN
Journal of Groundwater Science and Engineering, 2021 Grain-size distribution data, as a substitute for measuring hydraulic conductivity (K), has often been used to get K value indirectly. With grain-size distribution data of 150 sets of samples being input data, this study combined the Artificial Neural ...
Chun-lei GUI +3 more
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