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first of all we will define a custom OpenAI Gym environment for our dynamic hedging problem.
Steps to Implement:
Data Collection:
Collecting historical financial news articles and their correspon…
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Transcribed from https://github.com/RobotLocomotion/drake/issues/10704:
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Follow-up from: RobotLocomotion/drake#10702
We should update the models to use an estimation from the mesh (if poss…
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The `KernelDensityEstimation` class currently includes the normal distribution approximation bandwidth estimator (see `KernelDensityEstimation::getDefaultBandwith()`) when no bandwidth is passed to th…
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I notice that in [plotnine/stats/density.py](https://github.com/has2k1/plotnine/blob/a81b8f92bc39b6835e506e6779a01e4b8c53a627/plotnine/stats/density.py) there's support for several methods of calculat…
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I would like to help cleaning up the code related to kernel density estimation, and if possible also improve it. Is this of any interest, @josef-pkt ? If so, some help getting started would be great!
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Hi. Thanks for sharing such wonderful package. I am wondering, whether it is possible to estimate the density ratio between two distribution of very high dimension, like 50 dimension?
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The quantiles drawn by `geom_violin` are incorrect e.g. the 50% quantile does not correspond to the median. A simple example, where a boxplot is overlayed to show the expected position of the 25, 50 a…
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Success on install of SuGaR
Success on convertr.py and train.py in quick start.
Problem: cannot convert gaussian splat trained into the textured mesh (--export_uv_textured_mesh / -t )-
I firs…
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In #10 I discussed making scatter plots and one of the downsides is the extreme overplotting if entire datasets are used. `ggpointdensity` provides an alternative that is between a scatter plot and a…
Aariq updated
3 months ago
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https://arxiv.org/abs/1610.02920
- Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo
- Submitted on 10 Oct 2016 (v1), last revised 9 Nov 2016 (this version, v2)
TMats updated
6 years ago