Anna Neufeld (she/her)

Inference conditional on selection: a review
Anna Neufeld, Ronan Perry, Daniela Witten
In this article, we review selective inference, a set of techniques for inference when the statistical question asked is a function of the data. This setting…

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…

Discussion of "Data fission: splitting a single data point"
Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten, Jacob Bien
Leiner et al. [2023] introduce an important generalization of sample splitting, which they call data fission. They consider two cases of data fission: P1…

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…