Bayesian Learning and Predictability in a Stochastic Nonlinear Dynamical Model — mentioned by upquark

Thu, 20 Feb 2014 15:50:46 GMT

You are taking an extreme stance on the topic. There's room for modeling and forecasting even in highly complex dynamical systems, the models are getting better with advances in applied statistics research. They are not perfect, but they are not completely useless either. For example, here's an article I just found on modeling stochastic nonlinear dynamics in ecological/oceanographic applications: http://arxiv.org/pdf/1211.1717.pdf As for caterpillars predicting climate patterns, I agree with you that it's unlikely, unless there are some simple environmental indicators the caterpillars…

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Bayesian Learning and Predictability in a Stochastic Nonlinear Dynamical Model · HackerPapers discussions

Bayesian Learning and Predictability in a Stochastic Nonlinear Dynamical Model — mentioned by upquark