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Tag: topic/mechanistic-models
39 items with this tag.
Nov 08, 2026
Chen 2018 - Adjoint Sensitivity Method
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topic/mechanistic-models
topic/neural-odes
type/theorem
doc/paper
Nov 08, 2026
Chen 2018 - Continuous Normalizing Flows
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topic/mechanistic-models
topic/neural-odes
type/theorem
doc/paper
Nov 08, 2026
Chen 2018 - Latent ODE Time-Series Model
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topic/mechanistic-models
topic/neural-odes
type/definition
doc/paper
Nov 08, 2026
Chen 2018 - Neural ODEs - Overview
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topic/mechanistic-models
topic/neural-odes
type/overview
doc/paper
Nov 08, 2026
Chen 2018 - ODE-Nets for Supervised Learning
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topic/mechanistic-models
topic/neural-odes
type/example
doc/paper
Nov 08, 2026
Chen 2018 - Scope, Limitations and Statistical Use
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topic/mechanistic-models
topic/neural-odes
type/concept
doc/paper
Nov 08, 2026
Index: Chen 2018 - Neural ODEs
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topic/mechanistic-models
topic/neural-odes
Nov 08, 2026
Chipman 2010 - BART - Overview
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topic/mechanistic-models
topic/bart
type/overview
doc/paper
Nov 08, 2026
Chipman 2010 - Backfitting MCMC and Posterior Inference
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topic/mechanistic-models
topic/bart
type/theorem
doc/paper
Nov 08, 2026
Chipman 2010 - Drug Discovery Classification and Execution Time
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topic/mechanistic-models
topic/bart
type/example
doc/paper
Nov 08, 2026
Chipman 2010 - Extensions, Discussion and Practical Use
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topic/mechanistic-models
topic/bart
type/concept
doc/paper
Nov 08, 2026
Chipman 2010 - Predictive Bake-Off and Friedman Simulations
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topic/mechanistic-models
topic/bart
type/example
doc/paper
Nov 08, 2026
Chipman 2010 - Probit BART for Classification
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topic/mechanistic-models
topic/bart
type/definition
doc/paper
Nov 08, 2026
Chipman 2010 - Sum-of-Trees Model and Regularization Prior
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topic/mechanistic-models
topic/bart
type/definition
doc/paper
Nov 08, 2026
Index: Chipman 2010 - BART
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topic/mechanistic-models
topic/bart
Nov 08, 2026
Chaos, Rough Likelihoods and Data Assimilation (Concept Note)
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topic/mechanistic-models
topic/chaotic-dynamics
type/concept
doc/concept-note
Nov 08, 2026
Dose-Response with Weather Covariates in Long-Term Field Trials (Concept Note)
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topic/mechanistic-models
topic/dose-response
type/concept
doc/concept-note
Nov 08, 2026
Jump-Diffusion and Stochastic Differential Equation Models (Concept Note)
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topic/mechanistic-models
topic/stochastic-differential-equations
type/concept
doc/concept-note
Nov 08, 2026
Likelihoods Built on Differential Equations (Concept Note)
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topic/mechanistic-models
type/concept
doc/concept-note
Nov 08, 2026
Luria-Delbruck and Telegraph Models as Compound Count Likelihoods (Concept Note)
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topic/mechanistic-models
topic/count-likelihoods
type/concept
doc/concept-note
Nov 08, 2026
Population PK Dosing Decisions from the Posterior (Concept Note)
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topic/mechanistic-models
topic/pharmacometrics
type/concept
doc/concept-note
Nov 08, 2026
Surplus-Production State-Space Models for Fisheries (Concept Note)
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topic/mechanistic-models
topic/fisheries
type/concept
doc/concept-note
Nov 08, 2026
Universal Differential Equations and Scientific ML (Concept Note)
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topic/mechanistic-models
topic/neural-odes
type/concept
doc/concept-note
Nov 08, 2026
Index: Mechanistic and Scientific Models - Concept Notes
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topic/mechanistic-models
Nov 08, 2026
Izmailov 2021 - Bayesian Neural Network Posteriors - Overview
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topic/mechanistic-models
topic/bayesian-neural-networks
type/overview
doc/paper
Nov 08, 2026
Izmailov 2021 - Cheaper Approximations versus HMC
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topic/mechanistic-models
topic/bayesian-neural-networks
type/concept
doc/paper
Nov 08, 2026
Izmailov 2021 - Full-Batch HMC for Neural Networks
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topic/mechanistic-models
topic/bayesian-neural-networks
type/definition
doc/paper
Nov 08, 2026
Izmailov 2021 - Mixing Diagnostics and Posterior Geometry
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topic/mechanistic-models
topic/bayesian-neural-networks
type/theorem
doc/paper
Nov 08, 2026
Izmailov 2021 - Predictive Performance and Domain Shift
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topic/mechanistic-models
topic/bayesian-neural-networks
type/example
doc/paper
Nov 08, 2026
Izmailov 2021 - Priors, Prior Predictive and Cold Posteriors
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topic/mechanistic-models
topic/bayesian-neural-networks
type/theorem
doc/paper
Nov 08, 2026
Index: Izmailov 2021 - Bayesian Neural Network Posteriors
type/index
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topic/mechanistic-models
topic/bayesian-neural-networks
Nov 08, 2026
Margossian 2022 - Bayesian Pharmacometrics - Overview
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topic/mechanistic-models
topic/pharmacometrics
type/overview
doc/paper
Nov 08, 2026
Margossian 2022 - Compartment Models and Event Schedules
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topic/mechanistic-models
topic/pharmacometrics
type/definition
doc/paper
Nov 08, 2026
Margossian 2022 - Nonlinear PKPD and ODE Solvers
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topic/mechanistic-models
topic/pharmacometrics
type/example
doc/paper
Nov 08, 2026
Margossian 2022 - Population Two-Compartment Model
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topic/mechanistic-models
topic/pharmacometrics
type/definition
doc/paper
Nov 08, 2026
Margossian 2022 - Posterior Predictive Checks and LOO
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topic/mechanistic-models
topic/pharmacometrics
type/definition
doc/paper
Nov 08, 2026
Margossian 2022 - Stan Workflow and MCMC Diagnostics
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topic/mechanistic-models
topic/pharmacometrics
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doc/paper
Nov 08, 2026
Index: Margossian 2022 - Bayesian Pharmacometrics Stan Torsten
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topic/mechanistic-models
topic/pharmacometrics
Nov 08, 2026
Index: Mechanistic and Scientific Models
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topic/mechanistic-models