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Tag: topic/calibration
12 items with this tag.
Sep 23, 2026
Q: For calibrating an agent-based model, how do I choose among SMM, indirect inference, EMM, synthetic likelihood, ABC, history matching, genetic-algorithm calibration and neural posterior / likelihood / ratio estimation?
type/qa
topic/agent-based-modeling
topic/likelihood-free-inference
topic/simulation-estimation
topic/calibration
topic/bayesian-statistics
Sep 23, 2026
Q: Does peeking (optional stopping) matter for a Bayesian? Reconcile the frequentist peeking problem, always-valid p-values / mSPRT and confidence sequences with the likelihood principle, Thompson sampling and sequential Bayesian experimental design.
type/qa
topic/bayesian-statistics
topic/online-experimentation
topic/research-methodology
topic/multi-armed-bandits
topic/calibration
Sep 23, 2026
Q: In-context learning has been read as amortized (implicit) Bayesian inference. How does that reading compare with neural posterior estimation, variational autoencoders' amortized encoders, deep adaptive design and hierarchical models — and where does the analogy break?
type/qa
topic/large-language-models
topic/likelihood-free-inference
topic/variational-inference
topic/bayesian-statistics
topic/calibration
Sep 23, 2026
Q: When can LLM 'silicon samples' stand in for consumer data or hand-written decision rules in an agent-based model, and what validation protocol is needed?
type/qa
topic/agent-based-modeling
topic/large-language-models
topic/calibration
topic/research-methodology
topic/market-response
Sep 23, 2026
Validity, Bias and Calibration of LLM-Simulated Populations
source/ingested
topic/agent-based-modeling
topic/large-language-models
topic/silicon-samples
topic/validation
topic/calibration
type/concept
doc/paper
Sep 18, 2026
Q: The vault uses 'calibration' in at least four senses — simulation-based calibration of a Bayesian computation, coverage calibration in conformal prediction, probabilistic calibration of forecasts under proper scoring rules, and parameter calibration of agent-based models (plus uncertainty calibration of probabilistic numerical solvers and LLM-population calibration). What does each one guarantee, and what does it not?
type/qa
topic/calibration
topic/bayesian-workflow
topic/conformal-prediction
topic/uncertainty-quantification
topic/agent-based-modeling
Sep 18, 2026
ABM Calibration Overview
source/ingested
topic/agent-based-modeling
topic/calibration
type/concept
doc/paper
Sep 18, 2026
GA Fitness Evaluation and the RAM
source/ingested
topic/agent-based-modeling
topic/calibration
topic/genetic-algorithms
type/concept
doc/paper
Sep 18, 2026
Genetic Algorithm Calibration for ABM
source/ingested
topic/agent-based-modeling
topic/calibration
topic/genetic-algorithms
type/concept
doc/paper
Sep 18, 2026
Persona Mixture Calibration of LLM Agents
source/ingested
topic/agent-based-modeling
topic/large-language-models
topic/calibration
topic/silicon-samples
type/method
doc/paper
Sep 18, 2026
Q: How can SMM be used to calibrate agent based models?
type/qa
topic/agent-based-modeling
topic/calibration
topic/simulation-estimation
topic/econometrics
Jun 28, 2026
Population Initialization and Parameter Sensitivity
source/ingested
topic/agent-based-modeling
topic/calibration
type/concept
doc/paper