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07/24/2023
Model-free generalized fiducial inference
Motivated by the need for the development of safe and reliable methods f...
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02/28/2023
Introduction to Generalized Fiducial Inference
Fiducial inference was introduced in the first half of the 20th century ...
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02/21/2023
Valid Inference for Machine Learning Model Parameters
The parameters of a machine learning model are typically learned by mini...
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01/17/2023
Word Embeddings as Statistical Estimators
Word embeddings are a fundamental tool in natural language processing. C...
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11/29/2022
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
Transfer learning uses a data model, trained to make predictions or infe...
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11/06/2022
Beyond time-homogeneity for continuous-time multistate Markov models
Multistate Markov models are a canonical parametric approach for data mo...
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09/30/2022
Generalized Fiducial Inference on Differentiable Manifolds
We introduce a novel approach to inference on parameters that take value...
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05/20/2022
A statistical primer on exoplanet detection methods
Historically, a lack of cross-disciplinary communication has led to the ...
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01/28/2022
A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics
A key task in the emerging field of materials informatics is to use mach...
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11/04/2021
Conformal prediction for text infilling and part-of-speech prediction
Modern machine learning algorithms are capable of providing remarkably a...
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10/11/2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
The yaglm package aims to make the broader ecosystem of modern generaliz...
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10/08/2021
Do Ceasefires Work? A Bayesian autoregressive hidden Markov model to explore how ceasefires shape the dynamics of violence in civil war
Despite a growing body of literature focusing on ceasefires, it is uncle...
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07/10/2021
The EAS approach to variable selection for multivariate response data in high-dimensional settings
In this paper, we extend the epsilon admissible subsets (EAS) model sele...
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04/06/2021
Discussion of "A Gibbs sampler for a class of random convex polytopes"
An exciting new algorithmic breakthrough has been advanced for how to ca...
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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...
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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...
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07/17/2018
An exposition of the false confidence theorem
A recent paper presents the "false confidence theorem" (FCT) which has p...
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02/08/2018