William H. Aeberhard
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  • Publications
    • Spatio-Temporal Routing Module for Data-Driven River Discharge Prediction
    • Modeling uncertainty with engression: a deep generative time-series approach
    • Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations
    • Long-term aerial monitoring of Florida manatees, Trichechus manatus latirostris, in a diverse Gulf Coast environment
    • CH-RUN: A deep-learning-based spatially contiguous runoff reconstruction for Switzerland
    • Pan-Arctic Methanesulfonic Acid Aerosol: Source regions, atmospheric drivers, and future projections
    • Reliable growth estimation from mark–recapture tagging data in elasmobranchs
    • Modeling fine-grained spatio-temporal pollution maps with low-cost sensors
    • Whitespotted eagle ray (Aetobatus narinari) age and growth in wild (in-situ) versus aquarium-housed (ex-situ) individuals: Implications for conservation and management
    • Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data
    • Robust Estimation for Discrete-Time State Space Models
    • Unified natural mortality estimation for teleosts and elasmobranchs
    • Robust Fitting for Generalized Additive Models for Location, Scale and Shape
    • Workshop on the review and future of state space stock assessment models in ICES (WKRFSAM)
    • The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
    • Identifiable state-space models: A case study of the Bay of Fundy sea scallop fishery
    • Review of State-Space Models for Fisheries Science
    • Aggregate Patterns of Macrofaunal Diversity: An Interocean Comparison
    • Saddlepoint Tests for Accurate and Robust Inference on Overdispersed Count Data
    • Le Modèle Linéaire Généralisé (GLM) Robuste
    • TError: Towards a Better Quantification of the Uncertainty Propagated during the Characterization of Tephra Deposits
    • Robust Inference in the Negative Binomial Regression Model with an Application to Falls Data
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Spatio-Temporal Routing Module for Data-Driven River Discharge Prediction

31310-1212-00·
William H. Aeberhard
William H. Aeberhard
,
Michael Schirmer
,
Basil Kraft
,
Etienne Fluet-Chouinard
,
Massimiliano Zappa
,
Lukas Gudmundsson
Cite Code
Last updated on 31310-1212-00
Modeling uncertainty with engression: a deep generative time-series approach 30300-1212-00 →

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