Fetching the paper…
Reading the bibliography…
Bird species' migratory patterns have typically been studied through individual observations and historical records.
Peng, W., Coleman, T., and Mentch, L. (2019) · 1905
Earlier work this paper cites.
La prévision: ses lois logiques, ses sources subjectives
De Finetti, B. (1937) · 1937
Earlier work this paper cites.
Climate change has affected the breeding date of tree swallows throughout North America
Dunn, P. O. and Winkler, D. W. (1999) · 1999
Earlier work this paper cites.
Global land cover classification at 1 km spatial resolution using a classification tree approach
Hansen, M., DeFries, R., Townshend, J. R., and Sohlberg, R. (2000) · 2000
Earlier work this paper cites.
Random forests
Breiman, L. (2001) · 2001
Earlier work this paper cites.
Classification and regression by randomforest
Liaw, A. and Wiener, M. (2002) · 2002
Earlier work this paper cites.
Climate change, spring temperatures, and timing of breeding of tree swallows (Tachycineta bicolor)
Hussell, D. J. (2003) · 2003
Earlier work this paper cites.
Use of North American Breeding Bird Survey data to estimate population change for bird conservation regions
Sauer, J. R., Fallon, J. E., and Johnson, R. (2003) · 2003
Earlier work this paper cites.
Causal inference using potential outcomes: Design, modeling, decisions
Rubin, D. B. (2005) · 2005
Earlier work this paper cites.
Testing statistical hypotheses
Lehmann, E. L. and Romano, J. P. (2006) · 2006
Earlier work this paper cites.
Incorporating availability for detection in estimates of bird abundance
Diefenbach, D. R., Marshall, M. R., Mattice, J. A., and Brauning, D. W. (2007) · 2007
Earlier work this paper cites.
Two-sample tests in functional data analysis starting from discrete data
Hall, P. and Van Keilegom, I. (2007) · 2007
Earlier work this paper cites.
eBird: A citizen-based bird observation network in the biological sciences
Sullivan, B. L., Wood, C. L., Iliff, M. J., Bonney, R. E., Fink, D., and Kelling, S. (2009) · 2009
Cited alongside, same era.
Spatiotemporal exploratory models for broad-scale survey data
Fink, D., Hochachka, W. M., Zuckerberg, B., Winkler, D. W., Shaby, B., Munson, M. A., Hooker, G., Riedewald, M., Sheldon, D., and Kelling, S. (2010) · 2010
Cited alongside, same era.
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., and Huang, X. (2010) · 2010
Cited alongside, same era.
Regularization paths for generalized linear models via coordinate descent
Friedman, J., Hastie, T., and Tibshirani, R. (2010) · 2010
Cited alongside, same era.
Permutation Tests for Complex Data: Theory, Applications and Software
Pesarin, F. and Salmaso, L. (2010) · 2010
Cited alongside, same era.
The implications of mid-latitude climate extremes for North American migratory bird populations
La Sorte, F. A., Hochachka, W. M., Farnsworth, A., Dhondt, A. A., and Sheldon, D. (2016) · 2016
Later among the works it cites.
Quantifying uncertainty in random forests via confidence intervals and hypothesis tests
Mentch, L. and Hooker, G. (2016) · 2016
Later among the works it cites.
Novel seasonal land cover associations for eastern north american forest birds identified through dynamic species distribution modelling
Zuckerberg, B., Fink, D., La Sorte, F. A., Hochachka, W. M., and Kelling, S. (2016) · 2016
Later among the works it cites.
gam: Generalized additive models
Hastie, T. (2017) · 2017
Closest in time.
caret: Classification and regression training
Kuhn, M. (2017) · 2017
Closest in time.
rpart: Recursive partitioning and regression trees
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS
Bergmeir, C. and Benítez, J. M. (2012) · 2012
Cited alongside, same era.
Fragstats v4: spatial pattern analysis program for categorical and continuous maps. university of massachusetts, amherst, massachusetts, usa
McGarigal, K., Cushman, S., and Ene, E. (2012) · 2012
Cited alongside, same era.
Temperature effects on food supply and chick mortality in tree swallows (Tachycineta bicolor)
Winkler, D. W., Luo, M. K., and Rakhimberdiev, E. (2013) · 2013
Cited alongside, same era.
Do we need hundreds of classifiers to solve real world classification problems
Fernández-Delgado, M., Cernadas, E., Barro, S., and Amorim, D. (2014) · 2014
Cited alongside, same era.
The eBird enterprise: an integrated approach to development and application of citizen science
Sullivan, B. L., Aycrigg, J. L., Barry, J. H., Bonney, R. E., Bruns, N., Cooper, C. B., Damoulas, T., Dhondt, A. A., Dietterich, T., Farnsworth, A., et al. (2014) · 2014
Cited alongside, same era.
Abundance models improve spatial and temporal prioritization of conservation resources
Johnston, A., Fink, D., Reynolds, M. D., Hochachka, W. M., Sullivan, B. L., Bruns, N. E., Hallstein, E., Marrifield, M. S., Matsumoto, S., and Kelling, S. (2015) · 2015
Cited alongside, same era.
Consistency of random forests
Scornet, E., Biau, G., Vert, J.-P., et al. (2015) · 2015
Cited alongside, same era.
Therneau, T., Atkinson, B., and Ripley, B. (2017) · 2017
Closest in time.
Daymet: Station-Level Inputs and Model Predicted Values for North America, Version 3
Thormton, M., Thornton, P., Wei, Y., Vose, R., and Boyer, A. (2017) · 2017
Closest in time.
Modeling avian full annual cycle distribution and population trends with citizen science data
Fink, D., Auer, T., Ruiz-Gutierrez, V., Hochachka, W. M., Johnston, A., La Sorte, F. A., and Kelling, S. (2018) · 2018
Closest in time.
Causal structure learning from multivariate time series in settings with unmeasured confounding
Malinsky, D. and Spirtes, P. (2018) · 2018
Closest in time.
Correcting for bias in distribution modelling for rare species using citizen science data
Robinson, O. J., Ruiz-Gutierrez, V., and Fink, D. (2018) · 2018
Closest in time.
Estimation and inference of heterogeneous treatment effects using random forests
Wager, S. and Athey, S. (2018) · 2018
Closest in time.
Generalized random forests
Athey, S., Tibshirani, J., Wager, S., et al. (2019) · 2019
Closest in time.