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211 datasets for “Bayesian”

  1. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Geoscience Australia DataUpdated 30 Apr 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

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  2. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Geoscience Australia DataUpdated 14 May 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

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  3. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 11 Jan 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

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  4. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 23 Jan 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

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  5. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 12 Feb 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

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  6. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 5 Mar 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  7. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 16 Mar 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  8. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 29 Mar 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  9. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 4 Apr 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  10. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 10 Apr 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  11. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 16 Apr 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  12. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 5 May 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  13. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 4 Jun 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  14. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 16 Jun 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  15. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 23 Jun 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

    • HTML
  16. data.gov.au

    Fitzroy River Basin, Queensland, Australia. III. Identification of Sediment Sources in the Coastal Zone

    Australian Ocean Data NetworkUpdated 27 Jun 2026

    … Despite this apparent geochemical homogeneity, a modelling approach using a Bayesian statistical model revealed changes in catchment sediment …

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  17. data.gov.au

    IMOS - Satellite Remote Sensing - Surface Waves Sub-Facility - Gridded SAR wind - Delayed mode data

    Australian Ocean Data NetworkUpdated 10 Jul 2026

    … The winds are derived using a consistent geophysical model function (gmf), CMOD5N, and variational Bayesian inversion approach as …

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  18. data.gov.au

    Sensitivity of Probabilistic Tsunami Hazard Assessment to Far-Field Earthquake Slip Complexity and Rigidity Depth-Dependence: Case Study of Australia

    Geoscience Australia DataUpdated 17 Oct 2025

    … Scenario occurrence-rates are modelled using Bayesian techniques to account for uncertainties in seismic coupling, maximum-magnitudes and …

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  19. Data.gov Catalog

    XBOOTES:NDWFSBootesFieldOptical&NearIRCounterparts

    High Energy Astrophysics Science Archive Research CenterUpdated 5 Nov 2026

    … Using a Bayesian identification scheme, they successfully identified optical counterparts for 98% of the X-ray point sources …

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  20. Data.NSW

    NSW Vegetation Integrity Modelling - v3 (Eastern NSW and Western Slopes)

    NSW Department of Climate Change, Energy, the Environment and WaterUpdated 4 Oct 2026

    … and McNellie - in prep), titled __'Implementation of novel Bayesian framework for model, feature and hyperparameter selection in Vegetation …

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    • ZIP
“Bayesian” datasets · Open Data Finder