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First of all: Thanks a lot for porting this package to Python. It's greatly appreciated.
I'm using the R version quite a lot, often on larger data sets. Mostly, I match a lot of observations in paral…
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## Problema
Necesito una forma mejor de decidir qué parámetros usar. Hasta ahora simplemente estoy usando parámetros γₑ, γᵢ sacados de la manga.
## Solución 1: Multiple Model Kalman Filter
- [x…
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Hello all,
I have an array of shape (n,m) and a chi_squared function for likelihood. The chi_squared function takes the image as parameter. I would like to sample the image such that each iteration…
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This is more a question than an issue (sorry if this is the wrong place!). I've been using Shiny in R a lot. In the past I used the package {r2d3} to include D3.js visualizations in my Shiny apps.
…
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Dear chjackson,
I am using a lot these days flexsurv, great package!
However with one data, I am receiving an error using the following line of code:
`GompertzOS
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In PyMC3, stein variational gradient is already implemented, but it has to be tested how well it works/how biased it is for small number of particles. In addition, the optimal type of optimizer and le…
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The [No-U-Turn ](https://arxiv.org/pdf/1111.4246v1.pdf) Hamiltonian Monte Carlo (HMC) method provide a robust method to capture a posterior distributions with efficient sampling and adaptive step size…
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The current json logger can save parameters each `n` iterations, I think. Sometimes one is only interested in the set of parameters that produced the lowest expected energy, and not the last or other …
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Drawing from some of the tricks used in probabilistic programming packages, I'm proposing a reimplementation to `IMP.isd.Nuisance` in IMP that should enable better sampling. The beginnings of an imple…
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Dear Spirit users and developers,
I'm new on Spirit and I have a question on the different solver of LLG equation.
I'm trying to simulate skyrmions on a material with hex2d120 lattice. When I op…