Anna Neufeld (she/her)

Alumni


Graduated in 2023
ORCID iD  0000-0001-7638-0861 

Preprints

Inference after latent variable estimation for single-cell RNA sequencing data
Anna Neufeld, Lucy L. Gao, Joshua Popp, Alexis Battle, Daniela Witten
In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such as cell…

Negative binomial count splitting for single-cell RNA sequencing data
Anna Neufeld, Joshua Popp, Lucy L. Gao, Alexis Battle, Daniela Witten
The analysis of single-cell RNA sequencing (scRNA-seq) data often involves fitting a latent variable model to learn a low-dimensional representation for the…

Data thinning for convolution-closed distributions
Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten
We propose data thinning, an approach for splitting an observation into two or more independent parts that sum to the original observation, and that follow the…

Tree-Values: selective inference for regression trees
Anna C. Neufeld, Lucy L. Gao, Daniela M. Witten
We consider conducting inference on the output of the Classification and Regression Tree (CART) [Breiman et al., 1984] algorithm. A naive approach to inference…