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J. Stafford

4 papers hereh-index 690 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • J. Stafford — 10 papers, h 6
  • J. Stafford — 3 papers, h 16
  • J. Stafford — 2 papers, h 4
  • J. Stafford — 1 paper, h 6
  • J. Stafford — 1 paper, h 1
  • J. Stafford — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedFast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models

17 citations · 17 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2026

Spatio-Temporal Disaggregation with Changing Areal Boundaries

Noah Ripstein, Patrick Brown, Jamie Stafford

Small area estimation and disease mapping increasingly rely on areal data where reporting boundaries change over time. We develop a computationally efficient spatio-temporal disagg…

stat.ME2023

Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process

Ziang Zhang, Patrick Brown, Jamie Stafford

Quasi-periodicity refers to a pattern in a function where it appears periodic but has evolving amplitudes over time. This is often the case in practical settings such as the modeli…

stat.ME2023

Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines

Ziang Zhang, Alex Stringer, Patrick Brown +1

In many applications that involve the inference of an unknown smooth function, the inference of its derivatives will often be just as important as that of the function itself. To m…

stat.ME2021★ 17 cited

Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models

Alex Stringer, Patrick Brown, Jamie Stafford

We define a novel class of additive models, called Extended Latent Gaussian Models, that allow for a wide range of response distributions and flexible relationships between the add…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.