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William H. Aeberhard
William H. Aeberhard
Swiss Data Science Center, ETH Zurich
Bestätigte E-Mail-Adresse bei sdsc.ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Review of state-space models for fisheries science
WH Aeberhard, J Mills Flemming, A Nielsen
Annual Review of Statistics and Its Application 5 (1), 215-235, 2018
872018
Robust inference in the negative binomial regression model with an application to falls data
WH Aeberhard, E Cantoni, S Heritier
Biometrics 70 (4), 920-931, 2014
702014
TError: towards a better quantification of the uncertainty propagated during the characterization of tephra deposits
S Biass, G Bagheri, W Aeberhard, C Bonadonna
Statistics in Volcanology 1, 1-27, 2013
362013
Aggregate patterns of macrofaunal diversity: An interocean comparison
O Defeo, CAM Barboza, FR Barboza, WH Aeberhard, T Cabrini, ...
Global Ecology and Biogeography 26 (7), 823-834, 2017
352017
Unified natural mortality estimation for teleosts and elasmobranchs
M Dureuil, WH Aeberhard, KA Burnett, RE Hueter, JP Tyminski, B Worm
Marine Ecology Progress Series 667, 113-129, 2021
202021
Robust Fitting and Smoothing Parameter Selection for Generalized Additive Models for Location, Scale and Shape
WH Aeberhard, E Cantoni, G Marra, R Radice
Statistics and Computing 31 (11), 1-16, 2021
172021
Identifiable state‐space models: A case study of the Bay of Fundy sea scallop fishery
Y Yin, WH Aeberhard, SJ Smith, J Mills Flemming
Canadian Journal of Statistics 47 (1), 27-45, 2019
142019
The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
E Lawler, K Whoriskey, WH Aeberhard, C Field, JM Flemming
Journal of Agricultural, Biological and Environmental Statistics 24 (4), 651-668, 2019
122019
Reliable growth estimation from mark–recapture tagging data in elasmobranchs
M Dureuil, WH Aeberhard, M Dowd, SA Pardo, FG Whoriskey, B Worm
Fisheries Research 256, 106488, 2022
92022
Saddlepoint tests for accurate and robust inference on overdispersed count data
WH Aeberhard, E Cantoni, S Heritier
Computational statistics & data analysis 107, 162-175, 2017
82017
Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data
S Biass, SF Jenkins, WH Aeberhard, P Delmelle, T Wilson
Natural Hazards and Earth System Sciences 22 (9), 2829-2855, 2022
72022
Robust estimation for discrete‐time state space models
WH Aeberhard, E Cantoni, C Field, HR Künsch, J Mills Flemming, X Xu
Scandinavian Journal of Statistics 48 (4), 1127-1147, 2021
52021
Modeling fine-grained spatio-temporal pollution maps with low-cost sensors
SR Iyer, A Balashankar, WH Aeberhard, S Bhattacharyya, G Rusconi, ...
npj Climate and Atmospheric Science 5 (1), 76, 2022
42022
Whitespotted eagle ray (Aetobatus narinari) age and growth in wild (in situ) versus aquarium-housed (ex situ) individuals: Implications for conservation and management
A Boggio-Pasqua, K Bassos-Hull, WH Aeberhard, LA Hoopes, DA Swider, ...
Frontiers in Marine Science 9, 960822, 2022
32022
Machine learning-derived predictions of river flow across Switzerland
E Fluet-Chouinard, W Aeberhard, E Szekely, M Zappa, K Bogner, ...
EGU General Assembly Conference Abstracts, EGU22-8471, 2022
32022
CH-RUN: A data-driven spatially contiguous runoff monitoring product for Switzerland
B Kraft, M Schirmer, WH Aeberhard, M Zappa, SI Seneviratne, ...
EGUsphere 2024, 1-30, 2024
2024
Pan-Arctic Methanesulfonic Acid Aerosol: Source regions, atmospheric drivers, and future projections
J Pernov, E Harris, M Volpi, T Baumgartner, B Hohermuth, S Henne, ...
2024
A data-driven reconstruction of spatially contiguous daily small catchment runoff for flood and drought monitoring in Switzerland
B Kraft, W Aeberhard, M Schirmer, SI Seneviratne, M Zappa, ...
EGU24, 2024
2024
Gaussian Processes with Valid Covariance Defined on River Networks with Application to Discharge Prediction
W Aeberhard, F Pérez-Cruz
2022
Workshop on the review and future of state space stock assessment models in ICES (WKRFSAM)
A Nielsen, A Perreault, CW Berg, C Albertsen, C Minto, C Millar, ...
Workshop on the Review and Future of State Space Stock Assessment Models in ICES, 2020
2020
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