Publications

Kerri M. Scolardi, Krystan A. Wilkinson, William H. Aeberhard, Carolyn Cush, Dee Semeyn, Candice Wilkins (2022). Long-term aerial monitoring of Florida manatees, Trichechus manatus latirostris, shows stable trends in counts in a diverse Gulf Coast environment. In Preparation.

Lakshminarayanan Subramanian, Shiva Iyer, Ananth Balashankar, William H. Aeberhard, Sujoy Bhattacharyya, Giuditta Rusconi, Jose Lejo, Nita Soans, Anant Sudarshan, Rohini Pande (2022). Modeling fine-grained spatio-temporal pollution maps with low-cost sensors. Accepted in npj Climate and Atmospheric Science.

Atlantine Boggio-Pasqua, Kim Bassos-Hull, William H. Aeberhard, Lisa A. Hoopes, Denise A. Swider, Krystan A. Wilkinson, Manuel Dureuil (2022). Whitespotted eagle ray (Aetobatus narinari) age and growth in wild (in-situ) versus aquarium-housed (ex-situ) individuals: Implications for conservation and management. Frontiers in Marine Science 9.

Manuel Dureuil, William H. Aeberhard, Michael Dowd, Rainer Froese, Sebastián A. Pardo, Frederick G. Whoriskey, Boris Worm (2022). Reliable growth estimation from mark–recapture tagging data in elasmobranchs. Fisheries Research 256, 106488.

Sebastien Biass, Susanna Jenkins, William H. Aeberhard, Pierre Delmelle, Tom Wilson (2022). Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data. Natural Hazards and Earth System Sciences 22 (9), 2829–2855.

William H. Aeberhard, Eva Cantoni, Chris Field, Hans R. Kuensch, Joanna Mills Flemming, Ximing Xu (2021). Robust Estimation for Discrete-Time State Space Models. Scandinavian Journal of Statistics 48 (4), 1127–1147.

Manuel Dureuil, William H. Aeberhard, Kirsti A. Burnett, Robert E. Hueter, John P. Tyminski, Boris Worm (2021). Unified natural mortality estimation for teleosts and elasmobranchs. Marine Ecology Progress Series 667, 113–129.

William H. Aeberhard, Eva Cantoni, Giampiero Marra, Rosalba Radice (2021). Robust Fitting for Generalized Additive Models for Location, Scale and Shape. Statistics and Computing 31 (11), 1–16.

International Council for the Exploration of the Sea (ICES) (2020). Workshop on the review and future of state space stock assessment models in ICES (WKRFSAM). ICES Scientific Report 2 (32), 1–23.

Ethan Lawler, Kim Whoriskey, William H. Aeberhard, Joanna Mills Flemming, Chris Field (2019). The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation. Journal of Agricultural, Biological, and Environmental Statistics 24 (4), 651–668.

Yihao Yin, William H. Aeberhard, Stephen J. Smith, Joanna Mills Flemming (2019). Identifiable state-space models: A case study of the Bay of Fundy sea scallop fishery. Canadian Journal of Statistics 47 (1), 27–47.

William H. Aeberhard, Joanna Mills Flemming, Anders Nielsen (2018). Review of State-Space Models for Fisheries Science. Annual Review of Statistics and Its Application 5, 215–235.

Omar Defeo, Carlos A. M. Barboza, Francisco R. Barboza, William H. Aeberhard, Tatiana M. B. Cabrini, Ricardo S. Cardoso, Leonardo Ortega, Viviane Skinner, Boris Worm (2017). Aggregate Patterns of Macrofaunal Diversity: An Interocean Comparison. Global Ecology and Biogeography 26 (7), 823–834.

William H. Aeberhard, Eva Cantoni, Stephane Heritier (2017). Saddlepoint Tests for Accurate and Robust Inference on Overdispersed Count Data. Computational Statistics & Data Analysis 107, 162–175.

William H. Aeberhard, Eva Cantoni (2015). Le Modèle Linéaire Généralisé (GLM) Robuste. Méthodes Robustes en Statistique. Ed. by J.-J. Droesbeke, G. Saporta, and C. Thomas-Agnan. Paris, France: Technip, 109–128. ISBN: 9782710811497.

Sebastien Biass, Gholamhossein Bagheri, William H. Aeberhard, Costanza Bonadonna (2014). TError: Towards a Better Quantification of the Uncertainty Propagated during the Characterization of Tephra Deposits. Statistics in Volcanology 1 (2), 1–27.

William H. Aeberhard, Eva Cantoni, Stephane Heritier (2014). Robust Inference in the Negative Binomial Regression Model with an Application to Falls Data. Biometrics 70 (4), 920–931.