◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. King

9 papers hereh-index 377k citations114 works total

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

author position
  • first author3
  • last author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • q-bio.PE3
  • math.ST2
same name
  • A. King — 136 papers, h 53
  • A. King — 53 papers, h 28
  • A. King — 42 papers, h 40
  • A. King — 24 papers, h 21
  • A. King — 21 papers, h 14
  • A. King — 15 papers, h 19

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
20082020
most citedStatistical Inference for Partially Observed Markov Processes via the R Package pomp

320 citations · 961 across the 9 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2020★ 15 cited

A guide to state-space modeling of ecological time series

Marie Auger-Méthé, Ken Newman, Diana Cole +8

State-space models (SSMs) are an important modeling framework for analyzing ecological time series. These hierarchical models are commonly used to model population dynamics, animal…

stat.ME2018★ 26 cited

Panel data analysis via mechanistic models

Carles Bretó, Edward L. Ionides, Aaron A. King

Panel data, also known as longitudinal data, consist of a collection of time series. Each time series, which could itself be multivariate, comprises a sequence of measurements take…

stat.ME2016★ 2 cited

Monte Carlo profile confidence intervals

Edward L. Ionides, Carles Breto, Joonha Park +2

Monte Carlo methods to evaluate and maximize the likelihood function enable the construction of confidence intervals and hypothesis tests, facilitating scientific investigation usi…

stat.ME2015★ 320 cited

Statistical Inference for Partially Observed Markov Processes via the R Package pomp

Aaron A. King, Dao Nguyen, Edward L. Ionides

Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis. The R package pomp provide…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.