:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Perry, Ronan, Xu, Zichun, McGough, Olivia, Witten, Daniela
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2408.06323
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Valid F-screening in linear regression
by: McGough, Olivia, et al.
Published: (2025)

Inference conditional on selection: a review
by: Neufeld, Anna, et al.
Published: (2026)

Post-selection inference for penalized M-estimators via score thinning
by: Perry, Ronan, et al.
Published: (2026)

Inference on the proportion of variance explained in principal component analysis
by: Perry, Ronan, et al.
Published: (2024)

A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning
by: Xu, Zichun, et al.
Published: (2025)

Post-selection inference with a single realization of a network
by: Ancell, Ethan, et al.
Published: (2025)

Generalized Prediction-Powered Inference, with Application to Binary Classifier Evaluation
by: Zou, Runjia, et al.
Published: (2026)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)

Quantifying uncertainty in spikes estimated from calcium imaging data
by: Chen, Yiqun T., et al.
Published: (2021)

Discussion of "Data fission: splitting a single data point"
by: Neufeld, Anna, et al.
Published: (2024)

My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
by: He, Jingrui, et al.
Published: (2025)

Decomposing Gaussians with Unknown Covariance
by: Dharamshi, Ameer, et al.
Published: (2024)

Thinning a Wishart Random Matrix
by: Dharamshi, Ameer, et al.
Published: (2025)

Generalized Data Thinning Using Sufficient Statistics
by: Dharamshi, Ameer, et al.
Published: (2023)

Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes
by: Jin, Bora, et al.
Published: (2021)

Inferring High-Dimensional Dynamic Networks Changing with Multiple Covariates
by: Dijkstra, Louis, et al.
Published: (2024)

Inferring the parameters of Taylor's law in ecology
by: Truquet, Lionel, et al.
Published: (2024)

Inferring the presence and abundance of rare waterbirds species from scarce data
by: Bricout, Barbara, et al.
Published: (2026)

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter
by: Nóvoa, Andrea, et al.
Published: (2023)

A Latent Space Approach to Inferring Distance-Dependent Reciprocity in Directed Networks
by: Loyal, Joshua Daniel, et al.
Published: (2024)

Computational methods for fast Bayesian model assessment via calibrated posterior p-values
by: Paganin, Sally, et al.
Published: (2023)

Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
by: McFowland III, Edward, et al.
Published: (2016)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
by: Chandra, Noirrit Kiran, et al.
Published: (2023)

Inferring Latent Graphs from Stationary Signals Using a Graphical Autoregressive Model
by: Harwood, Jedidiah, et al.
Published: (2024)

Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
by: Sheth, Ivaxi, et al.
Published: (2024)

DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations
by: Zhu, Jiageng, et al.
Published: (2024)

Inferring Dynamic Hidden Graph Structure in Heterogeneous Correlated Time Series
by: Mohan, Jeshwanth, et al.
Published: (2025)

Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
by: Tran, Allen, et al.
Published: (2023)

Inferring Microscopic Explanatory Structures from Observational Constraints via Large Deviations
by: Ichiki, Akihisa
Published: (2026)

Inferring Change Points in Regression via Sample Weighting
by: Arpino, Gabriel, et al.
Published: (2026)

Inferring the finest pattern of mutual independence from data
by: Marrelec, G., et al.
Published: (2023)

Inferring the dynamics of quasi-reaction systems via nonlinear local mean-field approximations
by: Framba, Matteo, et al.
Published: (2024)

Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources
by: Ballerini, Veronica, et al.
Published: (2022)

The signal is not flushed away: Inferring the effective reproduction number from wastewater data in small populations
by: Goldstein, Isaac H., et al.
Published: (2025)

Breaching 1.5°C: Give me the odds
by: Vera-Valdés, J. Eduardo, et al.
Published: (2024)

Estimating Broad Sense Heritability via Kernel Ridge Regression
by: Bley, Olivia, et al.
Published: (2024)

Stochasticity and Practical Identifiability in Epidemic Models: A Monte Carlo Perspective
by: Mattamira, Chiara, et al.
Published: (2025)

Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
by: Cao, Zhiqiang, et al.
Published: (2023)

O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation
by: Myers, Matthew Kent, et al.
Published: (2024)

Diagnostic Overshadowing of Chronic Hepatitis C in People With Mental Health Conditions Who Inject Drugs: A Scoping Review
by: Regan Preston, et al.
Published: (2024)