Articles with public access mandates - Ruth KingLearn more
Available somewhere: 34
Bayesian statistics and modelling
R van de Schoot, S Depaoli, R King, B Kramer, K Märtens, MG Tadesse, ...
Nature Reviews Methods Primers 1 (1), 1, 2021
Mandates: Netherlands Organisation for Scientific Research, UK Engineering and …
Combining individual animal movement and ancillary biotelemetry data to investigate population‐level activity budgets
BT McClintock, DJF Russell, J Matthiopoulos, R King
Ecology 94 (4), 838-849, 2013
Mandates: UK Engineering and Physical Sciences Research Council
Modelling group dynamic animal movement
R Langrock, JGC Hopcraft, PG Blackwell, V Goodall, R King, M Niu, ...
Methods in Ecology and Evolution 5, 190-199, 2014
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
Multiple Systems Estimation (or Capture-ReCapture Estimation) to Inform Public Policy
SM Bird, R King
Annual Review of Statistics and Its Application 5 (1), 2018
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Incomplete contingency tables with censored cells with application to estimating the number of people who inject drugs in Scotland
AM Overstall, R King, SM Bird, SJ Hutchinson, G Hay
Statistics in Medicine 33, 1564-1579, 2014
Mandates: UK Medical Research Council
Capture-recapture abundance estimation using a semi-complete data likelihood approach
R King, BT McClintock, D Kidney, D Borchers
Annals of Applied Statistics 10, 264-285, 2016
Mandates: UK Engineering and Physical Sciences Research Council
Estimating prevalence of injecting drug users and associated heroin‐related death rates in England by using regional data and incorporating prior information
R King, SM Bird, AM Overstall, G Hay, SJ Hutchinson
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2014
Mandates: UK Medical Research Council
Bayesian methods for hierarchical distance sampling models
CS Oedekoven, ST Buckland, ML Mackenzie, R King, KO Evans, ...
Journal of Agricultural, Biological, and Environmental Statistics 19, 219-239, 2014
Mandates: UK Engineering and Physical Sciences Research Council
State‐space models for ecological time‐series data: Practical model‐fitting
K Newman, R King, V Elvira, P de Valpine, RS McCrea, BJT Morgan
Methods in Ecology and Evolution 14 (1), 26-42, 2023
Mandates: UK Engineering and Physical Sciences Research Council
Bayesian hierarchical modelling of continuous non‐negative longitudinal data with a spike at zero: An application to a study of birds visiting gardens in winter
B Swallow, ST Buckland, R King, MP Toms
Biometrical Journal 58 (2), 357-371, 2016
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma
R Amoros, R King, H Toyoda, T Kumada, PJ Johnson, TG Bird
Metron 77, 67-86, 2019
Mandates: Cancer Research UK, Wellcome Trust
A generalised likelihood framework for partially observed capture–recapture–recovery models
R King, RS McCrea
Statistical Methodology 17, 30-45, 2014
Mandates: UK Natural Environment Research Council
Multistate capture–recapture models for irregularly sampled data
S Mews, R Langrock, R King, N Quick
The Annals of Applied Statistics 16 (2), 982-998, 2022
Mandates: German Research Foundation
Analysing Mark-Recapture-Recovery Data in the Presence of Missing Covariate data via Multiple Imputation
H Worthington, R King, S Buckland
Journal of Agricultural, Biological, and Environmental Statistics, 2014
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
A primer on coupled state-switching models for multiple interacting time series
J Pohle, R Langrock, M Schaar, R King, FH Jensen
Statistical Modelling 21 (3), 264-285, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Parameter redundancy and the existence of maximum likelihood estimates in log-linear models
SS Far, M Papathomas, R King
Statistica Sinica 31 (3), 1125-1143, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Environment‐sensitive mass changes influence breeding frequency in a capital breeding marine top predator
S Smout, R King, P Pomeroy
Journal of Animal Ecology 89 (2), 384-396, 2020
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
Efficient sequential Monte Carlo algorithms for integrated population models
A Finke, R King, A Beskos, P Dellaportas
Journal of Agricultural, Biological and Environmental Statistics 24, 204-224, 2019
Mandates: UK Engineering and Physical Sciences Research Council
Estimation of population size when capture probability depends on individual states
H Worthington, RS McCrea, R King, RA Griffiths
Journal of Agricultural, Biological and Environmental Statistics 24, 154-172, 2019
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
Integrated population models: Achieving their potential
F Frost, R McCrea, R King, O Gimenez, E Zipkin
Journal of Statistical Theory and Practice 17 (1), 6, 2023
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
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