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Tag: topic/bayesian-workflow
91 items with this tag.
Sep 23, 2026
Bayesian Workflow - Overview
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topic/bayesian-statistics
topic/bayesian-workflow
type/overview
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Sep 23, 2026
Choosing and Building Models
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topic/bayesian-statistics
topic/bayesian-workflow
type/concept
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Sep 23, 2026
Computational Troubleshooting
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 23, 2026
Evaluating Fitted Models
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 23, 2026
Fitting and Validating Computation
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 23, 2026
Iterative Model Improvement
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 23, 2026
Modeling as Software Development
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Q: Honest DiD, Rosenbaum-style sensitivity analysis for unobserved confounding, Plausible GMM's prior over moment misspecification, synthetic-control placebo and backdating checks, prior/likelihood power-scaling sensitivity and Sobol global sensitivity indices all ask how wrong the assumptions can be before the conclusion changes. What would a unified view look like?
type/qa
topic/causal-inference
topic/econometrics
topic/bayesian-workflow
topic/agent-based-modeling
topic/uncertainty-quantification
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
Q: Are pre-registration, multiplicity control, hierarchical partial pooling, cross-fitting, honest trees and train/calibration splits all the same cure for the garden of forking paths?
type/qa
topic/research-methodology
topic/multiple-comparisons
topic/machine-learning
topic/causal-inference
topic/bayesian-workflow
Sep 18, 2026
Q: How should a geo-lift or A/B experiment result become a prior in a Bayesian media mix model, and what should happen when the experiment and the MMM disagree?
type/qa
topic/market-response
topic/bayesian-workflow
topic/bayesian-statistics
topic/causal-inference
topic/geo-experiments
Sep 18, 2026
Diagnosing Variational Inference (PSIS k-hat and VSBC)
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topic/bayesian-statistics
topic/variational-inference
topic/bayesian-workflow
topic/model-checking
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method/stan
doc/paper
Sep 18, 2026
Constructing Priors for Effect Sizes
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
From Inference to Decision
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Modeled and Unmodeled Data
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topic/bayesian-statistics
topic/bayesian-workflow
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method/stan
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Sep 18, 2026
Poststratification
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topic/bayesian-statistics
topic/bayesian-workflow
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method/mrp
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Sep 18, 2026
Prior Distributions
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Prior Predictive Checking
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Relating a Model to Subject-Matter Assumptions
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topic/bayesian-statistics
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Sep 18, 2026
Simulation to Express Uncertainty
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topic/bayesian-statistics
topic/bayesian-workflow
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method/stan
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Sep 18, 2026
Tail Behavior and Prior-Likelihood Conflict
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Building Up to a Hierarchical Model - Coronavirus Testing
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topic/bayesian-statistics
topic/bayesian-workflow
type/example
method/stan
method/mrp
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Sep 18, 2026
Model Building - Time-Series Decomposition for Birthdays
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Modeling Ideas to Address Computing Problems
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topic/bayesian-statistics
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Sep 18, 2026
Simulation-Based and Amortized Inference
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Variational Inference and Pathfinder
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topic/bayesian-statistics
topic/bayesian-workflow
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method/stan
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Sep 18, 2026
Comparing Models Visually
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topic/bayesian-statistics
topic/bayesian-workflow
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phenotypes
Sep 18, 2026
Cross Validation Checking
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Influence of Individual Data Points
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
Influence of Likelihood and Prior
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topic/bayesian-statistics
topic/bayesian-workflow
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method/priorsense
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Sep 18, 2026
Model Selection and Overfitting
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topic/bayesian-statistics
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Sep 18, 2026
Posterior Predictive Checking
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Sep 18, 2026
Topology of Models
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Sep 18, 2026
Varieties of Bayesian Theory
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Sep 18, 2026
Bayesian Workflow Book - Overview
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topic/bayesian-statistics
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Sep 18, 2026
Designing Simulated-Data Experiments
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topic/bayesian-statistics
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Sep 18, 2026
Models for Regression Coefficients and Variable Selection - Student Grades
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topic/bayesian-statistics
topic/bayesian-workflow
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method/stan
method/brms
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Sep 18, 2026
Approximations Based on Joint and Conditional Posterior Modes
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topic/bayesian-workflow
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Sep 18, 2026
Model Expansion - Predictive Consistency and Coherence
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Sep 18, 2026
Model Selection Using Predictive Performance
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Sep 18, 2026
Stacking and Predictive Model Averaging
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
From Inference to Data Analysis to Workflow
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topic/bayesian-statistics
topic/bayesian-workflow
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Sep 18, 2026
There Is No Safe Haven
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
How to Get the Most Out of Bayesian Data Analysis
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Aug 18, 2026
Statistical and Computational Workflow for Bayesians and Non-Bayesians
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topic/bayesian-statistics
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Aug 18, 2026
A Data Model Is Not Just a Likelihood
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topic/bayesian-statistics
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Aug 18, 2026
Causal Inference as Generalization
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topic/bayesian-statistics
topic/bayesian-workflow
topic/causal-inference
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method/stan
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Aug 18, 2026
Choosing an Initial Model
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
Expressing a Bayesian Model with Probability Distributions
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topic/bayesian-statistics
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Aug 18, 2026
Generative and Partially Generative Models
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
Joint Priors and Covariance Matrices
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topic/bayesian-statistics
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Aug 18, 2026
Point Estimates and Uncertainties
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Aug 18, 2026
Simulating an Underlying Process, Data Collection, and Inference
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topic/bayesian-statistics
topic/bayesian-workflow
topic/causal-inference
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Aug 18, 2026
Specifying the Data Model and the Prior
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topic/bayesian-workflow
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Aug 18, 2026
Challenge of Multimodality - Differential Equation for Planetary Motion
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Aug 18, 2026
Coding a Series of Models - Movie Ratings
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
Debugging a Model - World Cup Football
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Aug 18, 2026
Incremental Development and Testing - Black Cat Adoptions
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
LOO Model Checking and Comparison - Roaches
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topic/bayesian-statistics
topic/bayesian-workflow
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method/brms
method/stan
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Aug 18, 2026
Model Building and Expansion - Golf Putting
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
Model Building with Latent Variables - Animal Movement
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Aug 18, 2026
Posterior Predictive Checking - Stochastic Learning in Dogs
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Aug 18, 2026
Predictive Model Checking and Comparison - Clinical Trial
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Aug 18, 2026
Prior Specification for Regression Models - Sleep Study
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method/brms
method/priorsense
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Aug 18, 2026
Sampling Problems with Latent Variables - No Vehicles in the Park
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topic/bayesian-statistics
topic/bayesian-workflow
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method/stan
method/lme4
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Aug 18, 2026
Simulation-Based Calibration Checking in Model Development Workflow
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topic/bayesian-statistics
topic/bayesian-workflow
topic/simulation-based-calibration
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method/stan
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Aug 18, 2026
Using a Fitted Model for Decision Analysis - Classification Competition
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topic/bayesian-workflow
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Aug 18, 2026
Approximate Algorithms and Approximate Models
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topic/bayesian-statistics
topic/bayesian-workflow
type/overview
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Aug 18, 2026
Chains, Iterations, and Effective Sample Size
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Aug 18, 2026
Divide-and-Conquer Algorithms
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Aug 18, 2026
Effective Sample Size and Monte Carlo Standard Error
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Aug 18, 2026
Failure Modes and Steps Forward
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Aug 18, 2026
Fit Fast, Fail Fast
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Aug 18, 2026
Fitting Simpler Models for Computational Purposes
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Aug 18, 2026
How Many Digits to Report
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Aug 18, 2026
Initial Values, Adaptation, and Warmup
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Aug 18, 2026
Statistical Modeling as Software Development
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
The Typical Set and the Log Posterior Density
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
What to Do About Convergence Problems
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Aug 18, 2026
Big Data Need Big Models
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
Simulated-Data Experimentation as Virtual Replication
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topic/bayesian-statistics
topic/bayesian-workflow
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Aug 18, 2026
Software Assisted Workflow
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topic/bayesian-workflow
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Aug 18, 2026
Statistical and Scientific Inference
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topic/bayesian-statistics
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Aug 18, 2026
The Replication Crisis and Multiple Levels of Variation
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Aug 18, 2026
Visualizing High-Dimensional Inference
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Aug 18, 2026
Bioassay - A First Probabilistic Program
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method/stan
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Aug 18, 2026
Computational Tools and Probabilistic Programming
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Aug 18, 2026
Four Modeling Scenarios
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Aug 18, 2026
Multiple-Choice Exam - A Full Workflow Walkthrough
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Aug 18, 2026
Why Bayes - Benefits, Costs, and Borders
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Aug 18, 2026
SBC in the Workflow
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