Pages that link to "Item:Q3069898"
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The following pages link to What Are the Limits of Posterior Distributions Arising From Nonidentified Models, and Why Should We Care? (Q3069898):
Displaying 14 items.
- On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables (Q819958) (← links)
- Delta-method inference for a class of set-identified SVARs (Q1706496) (← links)
- Causal inference: a missing data perspective (Q1799347) (← links)
- Identification of causal effects within principal strata using auxiliary variables (Q2075703) (← links)
- A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse (Q2359514) (← links)
- A practical approach to parameter estimation applied to model predicting heart rate regulation (Q2376850) (← links)
- Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program (Q2441865) (← links)
- The Importance and Challenges of Bayesian Parameter Learning in Systems Biology (Q4928947) (← links)
- What About the Posterior Distributions When the Model is Non-dominated? (Q5266574) (← links)
- Advances in using vector autoregressions to estimate structural magnitudes (Q6536813) (← links)
- Estimation of sensitivity and specificity of multiple repeated binary tests without a gold standard (Q6627101) (← links)
- Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm (Q6628202) (← links)
- An information-theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: application to vaccine evaluation (Q6630352) (← links)
- Robust machine learning algorithms for text analysis (Q6646164) (← links)