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Approximate Inference for Observation Driven Time Series Models with Intractable Likelihoods
Observation Driven Time Series Models Approximate Bayesian Computation Asymptotic Con-sistency Markov Chain Monte Carlo
2013/4/28
In the following article we consider approximate Bayesian parameter inference for observation driven time series models. Such statistical models appear in a wide variety of applications, including eco...
Fast approximate inference with INLA: the past, the present and the future
Latent Gaussian models Bayesian Integrated Nested Laplace Approximation
2011/6/17
Latent Gaussian models are an extremely popular, flexible class of models. Bayesian inference for
these models is, however, tricky and time consuming. Recently, Rue, Martino and Chopin introduced
th...
Approximate inference via variational sampling
variational sampling limit theorem probability distribution
2011/6/16
We propose a new method to approximately integrate a function with respect
to a given probability distribution when an exact computation is intractable. The
method is called \variational sampling" a...