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Hi,
I want to model timeseries data using RxInfer.jl in an online manner. I understood that I can use RxInfer.jl directly to build State Space Models. However sometimes I really would like to model…
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pgmuvi needs a tutorial. This could be developed easily as a notebook, then incorporated into documentation.
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Perhaps you may consider adding the following packages under "Structural equation models, do-calculus causal discovery"
BiDAG : implementing sampling methods for DAGs (so for causal discovery) - an…
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Using Bayesian inference chemical models with integrated intensities has led us to believe that integrated intensities with no signal mask limitations should be used. Expected that setting `signal_ma…
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**Submitting author:** @prappleizer (Imad Pasha)
**Repository:** https://github.com/pysersic/pysersic
**Branch with paper.md** (empty if default branch): paper-joss
**Version:** v0.1.1
**Editor:** @el…
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https://arxiv.org/abs/2209.01034
A taxonomy of surprise definitions
Surprising events trigger measurable brain activity and influence human behavior by affecting learning, memory, and decision-mak…
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**Submitting author:** @odunbar (Oliver Dunbar)
**Repository:** https://github.com/CliMA/CalibrateEmulateSample.jl
**Branch with paper.md** (empty if default branch):
**Version:** v0.5.1
**Editor:** …
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# 🚀 Feature Request
Currently `botorch` implements the `UpperConfidenceBound` analytic and MC acquisition functions in e.g. `botorch.acquisition.UpperConfidenceBound`. This is useful but it might b…
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看到您在https://github.com/allenzhangzju/Black_Box_Variational_Inference上面有提交代码的记录,想向您请教有关黑盒变分推断的问题,主要是似然估计的计算部分(functions.py中的ng_log_Likelihoods函数)。如您方便,可以通过邮箱(brunoqin@163.com)联系,或直接回复。感谢!
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@luisevonderwiese and @gerhardJaeger, as discussed via email, we should now use the correpsondence patterns only one time per pattern, not the frequency information, but you can (please do so) filter …