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06/24/2023
Selective inference using randomized group lasso estimators for general models
Selective inference methods are developed for group lasso estimators for...
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01/15/2023
Selective Inference with Distributed Data
Nowadays, big datasets are spread over many machines which compute in pa...
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12/25/2022
Exact Selective Inference with Randomization
We introduce a pivot for exact selective inference with randomization. N...
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05/27/2022
Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging
Multi-task learning is frequently used to model a set of related respons...
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03/23/2022
Treatment Effect Estimation with Efficient Data Aggregation
Data aggregation, also known as meta analysis, is widely used to synthes...
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12/31/2020
Inference post Selection of Group-sparse Regression Models
Conditional inference provides a rigorous approach to counter bias when ...
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04/24/2020
Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics
Identifying direct links between gene pathways and clinical endpoints fo...
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01/31/2020
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
We consider distributions arising from a mixture of causal models, where...
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02/21/2019
Approximate selective inference via maximum likelihood
We consider an approximate version of the conditional approach to select...
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11/07/2018
Carving model-free inference
Many scientific studies are modeled as hierarchical procedures where the...
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11/07/2018
Asymptotic conditional inference via a Steining of selection probabilities
Many scientific studies are modeled as hierarchical procedures where the...
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01/26/2018
Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes
The goal of eQTL studies is to identify the genetic variants that influe...
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04/25/2017