Newman, K, King, R., Elvira, V., De Valpine, P., McCrea, R. and Morgan, B.(2022). State-space Models for Ecological Time Series Data: Practical Model-fittingMethods in Ecology and Evolution. Wiley.

Fung, YLF., Newman, K, King, RK. and De Valpine, P.(2022). Building integral projection models with nonindependent vital ratesEcology and Evolution. Wiley.

Polansky, L., Newman, K and Mitchell, L.(2021). Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage dataBiometrics 77, 352-361. Wiley.

Auger-Methe, M., Newman, K, Cole, D., Empacher, F., Gryba, R., King, A., Leos-Barajas, V., Fleming, J., Nielsen, A., Petris, G. and Thomas, L.(2021). A guide to state-space modeling of ecological time seriesEcological Monographs. Wiley, New York.

Mitchell, L., Newman, K and Baxter, R.(2019). Estimating the Size Selectivity of Fishing Trawls for a Short-Lived Fish SpeciesSan Francisco Estuary and Watershed Science 17(1), 24. UC Davis John Muir Institute of the Environment, Davis, California USA.

Polansky, L., Mitchell, L. and Newman, K(2019). Using Multistage Design‐Based Methods to Construct Abundance Indices and Uncertainty Measures for Delta SmeltTransactions of the American Fisheries Society 148(4), 710-724. Taylor and Francis Online.

Smith, W., Newman, K and Mitchell, L.(2019). A Bayesian hierarchical model of postlarval delta smelt entrainment: integrating transport, length composition, and sampling efficiency in estimates of lossCanadian Journal of Fisheries and Aquatic Sciences 77(5), 789-813. Canadian Science Publishing, Ottawa, Canada.

Newman, K(2019). Sampling theory: for the ecological and natural resource sciences. Oxford University Press.

Newman, K(2019). Population Demography for Ecology In "Handbook of Environmental and Ecological Statistics". Chapman & Hall.