Jan Hannig | DeepAI

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∙ 02/28/2023

Introduction to Generalized Fiducial Inference

Fiducial inference was introduced in the first half of the 20th century ...

0 Alexander C Murph, et al. ∙

∙ 12/01/2022

Data Integration Via Analysis of Subspaces (DIVAS)

Modern data collection in many data paradigms, including bioinformatics,...

0 Jack Prothero, et al. ∙

∙ 11/22/2022

Algorithm for detection of illegal discounting in North Carolina Education Lottery

The lottery is a very lucrative industry. Popular fascination often focu...

0 Jiayi Fu, et al. ∙

∙ 09/30/2022

Generalized Fiducial Inference on Differentiable Manifolds

We introduce a novel approach to inference on parameters that take value...

0 Alexander C Murph, et al. ∙

∙ 05/11/2022

Demystifying Inferential Models: A Fiducial Perspective

Inferential models have recently gained in popularity for valid uncertai...

0 Yifan Cui, et al. ∙

∙ 11/28/2021

A unified nonparametric fiducial approach to interval-censored data

Censored data, where the event time is partially observed, are challengi...

0 Yifan Cui, et al. ∙

∙ 09/25/2021

Statistical Inference for Data Integration

In the age of big data, data integration is a critical step especially i...

0 Xi Yang, et al. ∙

∙ 04/15/2021

Comments on: A Gibbs sampler for a class of random convex polytopes

In this comment we discuss relative strengths and weaknesses of simplex ...

0 Kentaro Hoffman, et al. ∙

∙ 03/22/2021

New Perspectives on Centering

Data matrix centering is an ever-present yet under-examined aspect of da...

0 Jack B. Prothero, et al. ∙

∙ 01/02/2021

Visual High Dimensional Hypothesis Testing

In exploratory data analysis of known classes of high dimensional data, ...

0 Xi Yang, et al. ∙

∙ 12/10/2020

Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems

One formulation of forensic identification of source problems is to dete...

0 Jonathan P Williams, et al. ∙

∙ 07/08/2020

Deep Fiducial Inference

Since the mid-2000s, there has been a resurrection of interest in modern...

1 Gang Li, et al. ∙

∙ 06/09/2020

A fiducial approach to nonparametric deconvolution problem: discrete case

Fiducial inference, as generalized by Hannig 2016 et al, is applied to n...

0 Yifan Cui, et al. ∙

∙ 12/01/2019

Joint and individual analysis of breast cancer histologic images and genomic covariates

A key challenge in modern data analysis is understanding connections bet...

0 Iain Carmichael, et al. ∙

∙ 11/14/2019

Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference

Due to their accuracies, methods based on ensembles of regression trees ...

0 Suofei Wu, et al. ∙

∙ 10/04/2019

A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping

Structural variants compose the majority of human genetic variation, but...

0 Weiwei Li, et al. ∙

∙ 06/11/2019

The EAS approach for graphical selection consistency in vector autoregression models

As evidenced by various recent and significant papers within the frequen...

0 Jonathan P Williams, et al. ∙

∙ 11/15/2018

Subspace Clustering through Sub-Clusters

The problem of dimension reduction is of increasing importance in modern...

0 Weiwei Li, et al. ∙

∙ 02/08/2018

A Bayesian Approach to Multi-State Hidden Markov Models: Application to Dementia Progression

People are living longer than ever before, and with this arise new compl...

0 Jonathan P Williams, et al. ∙

∙ 04/07/2017

Angle-Based Joint and Individual Variation Explained

Integrative analysis of disparate data blocks measured on a common set o...

0 Qing Feng, et al. ∙

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