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researcher

S. Spencer

10 papers hereh-index 221.6k citations74 works total

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

author position
  • first author1
  • middle author2
  • last author6

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • stat.CO4
  • stat.ME3
  • gr-qc1
  • q-bio.PE1
  • stat.AP1
same name
  • S. Spencer — 76 papers, h 19
  • S. Spencer — 8 papers
  • S. Spencer — 2 papers, h 2
  • S. Spencer — 2 papers, h 3
  • S. Spencer — 2 papers, h 1
  • S. Spencer — 1 paper, h 17

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
20142022
most citedDynamical Instability and Expansion-free Condition in f(R,T) Gravity

118 citations · 133 across the 9 of their papers we have counts for

collaborators
Showing stat.COShow all

4 papers · 1 filter

stat.CO2022

The Lifebelt Particle Filter for robust estimation from low-valued count data

Alice Corbella, Trevelyan J. McKinley, Paul J. Birrell +4

Particle filtering methods can be applied to estimation problems in discrete spaces on bounded domains, to sample from and marginalise over unknown hidden states. As in continuous…

stat.CO2022

Automatic Zig-Zag sampling in practice

Alice Corbella, Simon E F Spencer, Gareth O Roberts

Novel Monte Carlo methods to generate samples from a target distribution, such as a posterior from a Bayesian analysis, have rapidly expanded in the past decade. Algorithms based o…

stat.CO2017

Simulation from quasi-stationary distributions on reducible state spaces

Adam Griffin, Paul A. Jenkins, Gareth O. Roberts +1

Quasi-stationary distributions (QSDs)arise from stochastic processes that exhibit transient equilibrium behaviour on the way to absorption QSDs are often mathematically intractable…

stat.CO2015★ 3 cited

Model comparison with missing data using MCMC and importance sampling

Panayiota Touloupou, Naif Alzahrani, Peter Neal +2

Selecting between competing statistical models is a challenging problem especially when the competing models are non-nested. In this paper we offer a simple solution by devising an…

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