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Fingerprint Dive into the research topics where William Aeberhard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Robust Inference Mathematics
Fisheries Mathematics
State-space Model Mathematics
Binomial Model Mathematics
Count Data Mathematics
Negative Binomial Mathematics
Saddlepoint Mathematics
Autocorrelation Mathematics

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Research Output 2014 2019

Identifiable state-space models: A case study of the Bay of Fundy sea scallop fishery

Yin, Y., Aeberhard, W. H., Smith, S. J. & Mills Flemming, J., Mar 2019, In : Canadian Journal of Statistics. 47, 1, p. 27-45 19 p.

Research output: Contribution to journalArticle

Fisheries
State-space Model
Laplace Approximation
Automatic Differentiation
Identifiability
Hidden Markov models
autocorrelation
Autocorrelation
Markov Model
Animals

Review of State-Space Models for Fisheries Science

Aeberhard, W. H., Flemming, J. M. & Nielsen, A., Mar 7 2018, In : Annual Review of Statistics and Its Application. 5, p. 215-235 21 p.

Research output: Contribution to journalArticle

Fisheries
State-space Model
Fisheries Management
Fish
Best Practice

Aggregate patterns of macrofaunal diversity: An interocean comparison

Defeo, O., Barboza, C. A. M., Barboza, F. R., Aeberhard, W. H., Cabrini, T. M. B., Cardoso, R. S., Ortega, L., Skinner, V. & Worm, B., Jul 2017, In : Global Ecology and Biogeography. 26, 7, p. 823-834 12 p.

Research output: Contribution to journalArticle

beaches
beach
grain size
species diversity
surface temperature

Saddlepoint tests for accurate and robust inference on overdispersed count data

Aeberhard, W. H., Cantoni, E. & Heritier, S., Mar 1 2017, In : Computational Statistics and Data Analysis. 107, p. 162-175 14 p.

Research output: Contribution to journalArticle

Robust Inference
Count Data
Saddlepoint
p-Value
Small Sample