activity
20162022
most citedKnot Selection in Sparse Gaussian Processes

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME20221 cited

The RITAS algorithm: a constructive yield monitor data processing algorithm

Luis Damiano, Jarad Niemi

Yield monitor datasets are known to contain a high percentage of unreliable records. The current tool set is mostly limited to observation cleaning procedures based on heuristic or…

stat.ML2020

Knot Selection in Sparse Gaussian Processes with a Variational Objective Function

Nathaniel Garton, Jarad Niemi, Alicia Carriquiry

Sparse, knot-based Gaussian processes have enjoyed considerable success as scalable approximations to full Gaussian processes. Certain sparse models can be derived through specific…

stat.ML20201 cited

Knot Selection in Sparse Gaussian Processes

Nathaniel Garton, Jarad Niemi, Alicia Carriquiry

Knot-based, sparse Gaussian processes have enjoyed considerable success as scalable approximations to full Gaussian processes. Problems can occur, however, when knot selection is d…

stat.AP2020

Score-based likelihood ratios to evaluate forensic pattern evidence

Nathaniel Garton, Danica Ommen, Jarad Niemi +1

In 2016, the European Network of Forensic Science Institutes (ENFSI) published guidelines for the evaluation, interpretation and reporting of scientific evidence. In the guidelines…

stat.CO2016

A fully Bayesian strategy for high-dimensional hierarchical modeling using massively parallel computing

Will Landau, Jarad Niemi

Markov chain Monte Carlo (MCMC) is the predominant tool used in Bayesian parameter estimation for hierarchical models. When the model expands due to an increasing number of hierarc…