PROBABILISTIC PROGRAMMING IN PYTHON USING PYMC3

Probabilistic programming in Python using PyMC3

Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models.Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.This class of MCMC, Displays known as Hamiltonian Monte Carlo, requires gradient information which is often not readily available.PyMC3 is a

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Gestational vitamin D deficiency and autism spectrum disorder

Background There is growing interest in linking vitamin D deficiency with autism spectrum disorders (ASDs).The association between vitamin D deficiency during gestation, a critical period in neurodevelopment, and ASD is not well understood.Aims To determine the association between gestational vitamin D status and ASD.Method Based on a birth cohort

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Surface treatment of 3D printed porous Ti6Al4V implants by ultraviolet photofunctionalization for improved osseointegration

Three-dimensional (3D)-printed porous Ti6Al4V implants play an important role in the reconstruction of bone defects.However, its osseointegration capacity needs to be further improved, and related methods are inadequate, especially lacking customized surface treatment technology.Consequently, we aimed to design an omnidirectional radiator based on

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