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Tag: topic/distributional-regression
47 items with this tag.
Nov 08, 2026
Concept Notes - Log-Pearson III Flood Frequency and Historic Floods
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Nov 08, 2026
Concept Notes - Usual Intake from Repeated Short-Term Measurements
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Nov 08, 2026
Index: Concept Notes - Usual Intake and Flood Frequency
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Nov 08, 2026
Greenacre 2023 - Aitchison CoDA 40 Years On - Overview
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Nov 08, 2026
Greenacre 2023 - Compositional Outcome Models in PyMC
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Nov 08, 2026
Greenacre 2023 - Logratios ALR CLR ILR and Log-Contrasts
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Nov 08, 2026
Greenacre 2023 - Simplex, Closure and Core CoDA Properties
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Nov 08, 2026
Greenacre 2023 - Tellus Application, Variable Selection and Correspondence Analysis
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Nov 08, 2026
Greenacre 2023 - Wide Data, Zeros and Quasi-Coherence
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Nov 08, 2026
Index: Greenacre 2023 - Aitchison CoDA 40 Years On
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Nov 08, 2026
Ji 2024 - Asymmetric Laplace Working Likelihood
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Nov 08, 2026
Ji 2024 - Gibbs Posterior and Learning-Rate Calibration
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Nov 08, 2026
Ji 2024 - Infinitesimal Jackknife Standard Errors
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Nov 08, 2026
Ji 2024 - Simulation Results and Applications
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Nov 08, 2026
Ji 2024 - Valid Standard Errors for Bayesian Quantile Regression - Overview
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Nov 08, 2026
Ji 2024 - Yang-Wang-He Sandwich Adjustment
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Nov 08, 2026
Index: Ji 2024 - Valid Standard Errors for Bayesian Quantile Regression
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topic/distributional-regression
Nov 08, 2026
Pewsey 2021 - Circular Distributions and Constructions
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Nov 08, 2026
Pewsey 2021 - Circular Models in PyMC
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Nov 08, 2026
Pewsey 2021 - Circular Regression and Serial Dependence
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Nov 08, 2026
Pewsey 2021 - Directional Statistics - Overview
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Nov 08, 2026
Pewsey 2021 - Directional Statistics - Spherical, Toroidal and Other Topics
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Nov 08, 2026
Pewsey 2021 - Inference, Uniformity Tests and Smeariness
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Nov 08, 2026
Index: Pewsey 2021 - Recent Advances in Directional Statistics
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Nov 08, 2026
Philip 2020 - Bayesian GEV Attribution in PyMC
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Nov 08, 2026
Philip 2020 - Extreme Event Attribution Protocol - Overview
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Nov 08, 2026
Philip 2020 - Extreme Value Distributions for Attribution
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Nov 08, 2026
Philip 2020 - Model Evaluation, Multi-Model Attribution and Hazard Synthesis
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Nov 08, 2026
Philip 2020 - Probability Framing, Event Definition and Return Periods
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Nov 08, 2026
Philip 2020 - Trend Models and Natural Variability
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Nov 08, 2026
Philip 2020 - Vulnerability, Exposure and Communication
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Nov 08, 2026
Index: Philip 2020 - Protocol for Probabilistic Extreme Event Attribution
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Nov 08, 2026
Stasinopoulos 2007 - Bayesian P-Splines and Distributional Regression in PyMC
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Nov 08, 2026
Stasinopoulos 2007 - Centile Curves, LMS and Residual Diagnostics
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Nov 08, 2026
Stasinopoulos 2007 - Distributions and Additive Terms
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Nov 08, 2026
Stasinopoulos 2007 - Fitting Algorithms and Model Selection
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Nov 08, 2026
Stasinopoulos 2007 - GAMLSS Model Framework
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Nov 08, 2026
Stasinopoulos 2007 - GAMLSS in R - Overview
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Nov 08, 2026
Stasinopoulos 2007 - Lice, CD4 and Claims Examples
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Nov 08, 2026
Index: Stasinopoulos 2007 - GAMLSS in R
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Nov 08, 2026
Tsagris 2018 - Dirichlet Regression with Zeros - Dirichlet Regression
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Nov 08, 2026
Tsagris 2018 - Dirichlet Regression with Zeros - Discussion and Alternatives
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Nov 08, 2026
Tsagris 2018 - Dirichlet Regression with Zeros - Examples and Simulation Results
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Nov 08, 2026
Tsagris 2018 - Dirichlet Regression with Zeros - Overview
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Nov 08, 2026
Tsagris 2018 - Dirichlet Regression with Zeros - Zero Adjusted Dirichlet Regression
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Nov 08, 2026
Index: Tsagris 2018 - Dirichlet Regression with Zeros
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Nov 08, 2026
Index: Distributional and Constrained Outcomes
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