Publication Information can also be found on my Google Scholar page

[15] John Tipton, Glenn Sharman, and Sam Johnstone (2020+). Estimation of Sediment Mixing Distributions with Uncertainty Quantification using Bayesian Nonparametric Modeling. In revision. [R code on gitHub]

[14] Ann Raiho, Michael Dietze, Andria Dawson, Christine R. Rollinson, John Tipton, and Jason McLachlan. (2020+). Towards understanding predictability in ecology: A forest gap model case study. Global Change Biology. In review

[13] Manuel Chevalier et. al (2020). Pollen-based climate reconstruction techniques for late Quaternary studies. Earth-Science Reviews. [paper]

[12] John Tipton, Mevin Hooten, Connor Nolan, Bob Booth, and Jason McLachlan (2019). Predicting unobserved climate from compositional data using multivariate Gaussian process inverse prediction. The Annals of Applied Statistics. Vol 13, No. 4, pp. 2363-2388. [pdf][AOAS site][arXiv preprint][R code on gitHub]

[11] Connor Nolan, John Tipton, Robert K. Booth, Mevin B. Hooten, and Stephen T. Jackson (2019). Comparing and improving methods for reconstructing water table depth from testate amoebae. The Holocene. [paper][R code on gitHub]

[10] Connor Nolan et. al. (2018) Past and future global transformation of terrestrial ecosystems under climate change. Science. Volume 361, Issue 6405, August 31, pp. 920-923. [paper]

[9] Erin Belval, Yu Wei, David Calkin, Crystal Stonesifer, Matt Thompson and John Tipton (2017). Studying interregional wildland engine assignments for large fire suppression. International Journal of Wildland Fire. [paper]

[8] John Tipton, Mevin Hooten, and Simon Goring (2017). Reconstruction of spatio-temporal temperature processes from sparse historical records using probabilistic principal component regression. Advances in Statistical Climatology, Meteorology and Oceanography. [pdf] [R code on gitHub]

[7] Trevor Hefley, Kristin Broms, Brian Brost, Frances Buderman, Shannon Kay, Henry Scharf, John Tipton, Perry Williams, and Mevin Hooten (2017). The basis function approach to modeling dependent ecological data. Ecology. [pdf] [R code S3, S4, & S5]

[6] John Tipton, Mevin Hooten, Neil Pederson, Martin Tingley and Daniel Bishop (2016). Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models. Environmetrics, 27(1):42-54. [pdf] [R code on gitHub]

[5] Douglas Silver, Brett Johnson, William Pate, Kyle Christianson, John Tipton, James Sherwood, Brian Smith, Yun Hao, and Patrick Martinez (2016). Effect of net size on estimates of abundance, size/age, and sex of Mysis diluviana. Journal of Great Lakes Research, Volume 42, Issue 3, June 2016 [paper] [R code on gitHub]

[4] John Tipton, Jean Opsomer, and Gretchen Moisen (2013). Properties of endogenous post-stratified estimation using remote sensing data. Remote Sensing of Environment, 139:130-137. [pdf]

[3] John Tipton, Gretchen Moisen, Paul Patterson, and Thomas Jackson (2012). Sampling intensity and normalization: Exploring cost-driving factors in nationwide mapping of tree canopy cover. In: McWilliams, Will and Roesch, Frank, (compilers). 2010 Forest Inventory and Analysis (FIA) Symposium. [pdf]

[2] Thomas Jackson, Gretchen Moisen, Paul Patterson and John Tipton (2012). Repeatability in photo-interpretation of tree canopy cover and its effect on predictive mapping. In:McWilliams, Will and Roesch, Frank, (compilers). 2010 Forest Inventory and Analysis (FIA) Symposium. [pdf]

[1] David Gammon, Myron Baker, and John Tipton (2005). Cultural divergence within novel song in the black-capped chickadee (Poecile atricapillus). The Auk, 122, 853-871. [paper]