Maurício M.
@phydev.bsky.social
Side note: I attended a seminar this week about a new method called Adversarial Random Forest, which made me excited. The group that develops the method cares about statistical consistency and they have a paper under review on applying this generative method to imputation.
arxiv.org/abs/2205.09435
arxiv.org/abs/2205.09435
Adversarial random forests for density estimation and generative modeling
We propose methods for density estimation and data synthesis using a novel form of unsupervised random forests. Inspired by generative adversarial networks, we implement a recursive procedure in which...
arxiv.org
February 9, 2025 at 11:19 AM
Side note: I attended a seminar this week about a new method called Adversarial Random Forest, which made me excited. The group that develops the method cares about statistical consistency and they have a paper under review on applying this generative method to imputation.
arxiv.org/abs/2205.09435
arxiv.org/abs/2205.09435
Great compilation! I’m so greatful that I found your and Riley’s research years ago, I wish this becomes common knowledge among data scientist outside academia/biostats also. God jul og godt nyttår! 😊
December 23, 2024 at 10:55 AM
Great compilation! I’m so greatful that I found your and Riley’s research years ago, I wish this becomes common knowledge among data scientist outside academia/biostats also. God jul og godt nyttår! 😊
Thanks for the clarification!
November 14, 2023 at 4:05 PM
Thanks for the clarification!
Hi Richard. I also recall reading somewhere that your method was intended to be used with up to 30 predictor candidates. Maybe it was mentioned in an early version of pmsampsize? Recently I searched again to be sure and couldn't find this restriction anymore.
November 14, 2023 at 10:38 AM
Hi Richard. I also recall reading somewhere that your method was intended to be used with up to 30 predictor candidates. Maybe it was mentioned in an early version of pmsampsize? Recently I searched again to be sure and couldn't find this restriction anymore.