Cover Image

Network knockoffs: controlling false discovery in dyadic space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Van Ee, Justin, Kanno, Yoichiro, Rash, Jacob, Hooten, Mevin
Format:	Preprint
Published:	2026
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Composite Dyadic Models for Spatio-Temporal Data
by: Schwob, Michael R, et al.
Published: (2023)

Local graph estimation with pathwise false discovery control
by: Melikechi, Omar, et al.
Published: (2025)

A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)

Dyadic Flow Models for Nonstationary Gene Flow in Landscape Genomics
by: Schwob, Michael R., et al.
Published: (2025)

Landscape influences on thermal sensitivity and predicted spatial variability among brook trout streams in the southeastern USA
by: George P. Valentine, et al.
Published: (2024)

Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)

Nonparametric IPSS: Fast, flexible feature selection with false discovery control
by: Melikechi, Omar, et al.
Published: (2024)

Dynamic social networks based on movement
by: Scharf, Henry R., et al.
Published: (2015)

Second-order group knockoffs with applications to GWAS
by: Chu, Benjamin B, et al.
Published: (2023)

Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs
by: Zhao, Qian, et al.
Published: (2025)

One-at-a-time knockoffs: controlled false discovery rate with higher power
by: Guan, Charlie K., et al.
Published: (2025)

Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025)

Simultaneous false discovery proportion bounds via knockoffs and closed testing
by: Li, Jinzhou, et al.
Published: (2022)

Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
by: Kuha, Jouni, et al.
Published: (2021)

Spatial Knockoff Bayesian Variable Selection in Genome-Wide Association Studies
by: Van Ee, Justin J., et al.
Published: (2024)

Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies
by: Jiang, Wei, et al.
Published: (2016)

Using multi‐scale spatial models of dendritic ecosystems to infer abundance of a stream salmonid
by: Xinyi Lu, et al.
Published: (2024)

Recursive Adaptive Importance Sampling with Optimal Replenishment
by: Barreto, Daniel Würzler, et al.
Published: (2025)

Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
by: Park, Kwangmoon, et al.
Published: (2026)

COBRA: Comparison-Optimal Betting for Risk-limiting Audits
by: Spertus, Jacob
Published: (2023)

Geostatistical capture-recapture models
by: Hooten, Mevin B, et al.
Published: (2023)

Generalizability with ignorance in mind: learning what we do (not) know for archetypes discovery
by: Breza, Emily, et al.
Published: (2025)

Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values
by: Chang, Jinyuan, et al.
Published: (2025)

Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)

Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
by: DeMonte, Justin B., et al.
Published: (2024)

A latent space model for multivariate count data time series analysis
by: Kaur, Hardeep, et al.
Published: (2024)

Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
by: Castillo-Mateo, Jorge, et al.
Published: (2025)

Priming bias versus post-treatment bias in experimental designs
by: Blackwell, Matthew, et al.
Published: (2023)

Data-driven controlled subgroup selection in clinical trials
by: Müller, Manuel M., et al.
Published: (2025)

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
by: Guo, Xingche, et al.
Published: (2023)

Prediction intervals for overdispersed multinomial data with application to historical controls
by: Budig, Sören, et al.
Published: (2026)

Improving randomized controlled trial analysis via data-adaptive borrowing
by: Gao, Chenyin, et al.
Published: (2023)

Estimating treatment effects with competing intercurrent events in randomized controlled trials
by: Lu, Sizhu, et al.
Published: (2025)

Predicting the trajectory of intracranial pressure in patients with traumatic brain injury: evaluation of a foundation model for time series
by: van Leeuwen, Florian D., et al.
Published: (2024)

Personalized Imputation in metric spaces via conformal prediction: Applications in Predicting Diabetes Development with Continuous Glucose Monitoring Information
by: Matabuena, Marcos, et al.
Published: (2024)

NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
by: Krotka, Pavla, et al.
Published: (2023)

Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)

Increasing power and robustness in screening trials by testing stored specimens in the control arm
by: Katki, Hormuzd A., et al.
Published: (2024)