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Ken Newman
Ken Newman
Biomathematics and Statistics of Scotland and School of Mathematics, University of Edinburgh
Verified email at bioss.ac.uk
Title
Cited by
Cited by
Year
State-space models for the dynamics of wild animal populations
ST Buckland, KB Newman, L Thomas, NB Koesters
Ecological modelling 171 (1-2), 157-175, 2004
3962004
Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary
JR Thomson, WJ Kimmerer, LR Brown, KB Newman, RM Nally, ...
Ecological Applications 20 (5), 1431-1448, 2010
2002010
Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)
R Mac Nally, JR Thomson, WJ Kimmerer, F Feyrer, KB Newman, A Sih, ...
Ecological Applications 20 (5), 1417-1430, 2010
1822010
Embedding population dynamics models in inference
ST Buckland, KB Newman, C Fernández, L Thomas, J Harwood
1692007
Hidden process models for animal population dynamics
KB Newman, ST Buckland, ST Lindley, L Thomas, C Fernandez
Ecological applications 16 (1), 74-86, 2006
1532006
Efficiency of tree crowns and stemwood production at different canopy leaf densities
RH Waring, K Newman, J Bell
Forestry: An International Journal of Forest Research 54 (2), 129-137, 1981
1441981
Modelling population dynamics
KB Newman, ST Buckland, BJT Morgan, R King, DL Borchers, DJ Cole, ...
Modelling Population Dynamics: Model Formulation, Fitting and Assessment …, 2014
1382014
A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS
L Thomas, ST Buckland, KB Newman, J Harwood
Australian & New Zealand Journal of Statistics 47 (1), 19-34, 2005
1382005
A guide to state–space modeling of ecological time series
M Auger‐Méthé, K Newman, D Cole, F Empacher, R Gryba, AA King, ...
Ecological Monographs 91 (4), e01470, 2021
1282021
Modeling the effects of future outflow on the abiotic habitat of an imperiled estuarine fish
F Feyrer, K Newman, M Nobriga, T Sommer
Estuaries and Coasts 34, 120-128, 2011
932011
Monte Carlo inference for state–space models of wild animal populations
KB Newman, C Fernández, L Thomas, ST Buckland
Biometrics 65 (2), 572-583, 2009
922009
Modeling the survival of Chinook salmon smolts outmigrating through the lower Sacramento River system
KB Newman, J Rice
Journal of the American Statistical Association 97 (460), 983-993, 2002
772002
State-space modeling of animal movement and mortality with application to salmon
KB Newman
Biometrics, 1290-1314, 1998
751998
A road map for designing and implementing a biological monitoring program
JH Reynolds, MG Knutson, KB Newman, ED Silverman, WL Thompson
Environmental Monitoring and Assessment 188, 1-25, 2016
652016
Modelling paired release-recovery data in the presence of survival and capture heterogeneity with application to marked juvenile salmon
KB Newman
Statistical modelling 3 (3), 157-177, 2003
632003
Hierarchical modeling of juvenile Chinook salmon survival as a function of Sacramento–San Joaquin Delta water exports
KB Newman, PL Brandes
North American Journal of Fisheries Management 30 (1), 157-169, 2010
602010
Predation on juvenile salmonids by smallmouth bass in the Lower Granite Reservoir system, Snake River
GP Naughton, DH Bennett, KB Newman
North American Journal of Fisheries Management 24 (2), 534-544, 2004
452004
Accounting for demographic and environmental stochasticity, observation error, and parameter uncertainty in fish population dynamics models
KB Newman, ST Lindley
North American Journal of Fisheries Management 26 (3), 685-701, 2006
442006
Migration patterns of juvenile winter-run-sized Chinook Salmon (Oncorhynchus tshawytscha) through the Sacramento–San Joaquin Delta
RB del Rosario, YJ Redler, K Newman, PL Brandes, T Sommer, K Reece, ...
San Francisco Estuary and Watershed Science 11 (1), 2013
362013
Spatiotemporal models of an estuarine fish species to identify patterns and factors impacting their distribution and abundance
L Polansky, KB Newman, ML Nobriga, L Mitchell
Estuaries and Coasts 41, 572-581, 2018
302018
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Articles 1–20