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Rejoinder

https://doi.org/10.1214/08-ba318rej
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4899-4541-9openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1038/157172a0openalex-snapshot
Theory of Games and Economic Behavior
inferredcites →https://doi.org/10.1111/j.0081-1750.2006.00166.xopenalex-snapshot
Rejoinder: Response to Sobel
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1119/1.14447openalex-snapshot
Assessing uncertainty in physical constants
inferredcites →https://doi.org/10.1119/1.1941874openalex-snapshot
Experimentation and Measurement
inferredcites →https://doi.org/10.1162/08997660260293292openalex-snapshot
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot
Bayesian Data Analysis
inferredcites →https://doi.org/10.2307/1847040openalex-snapshot
The Structure of Scientific Revolutions
inferredcites →https://doi.org/10.2307/2531734openalex-snapshot
Models for Longitudinal Data: A Generalized Estimating Equation Approach
inferredcites →https://doi.org/10.2307/2550489openalex-snapshot
The Logic of Scientific Discovery.
inferredcites →https://doi.org/10.2307/271063openalex-snapshot
Bayesian Model Selection in Social Research

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.1411432openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-319-78999-6_27openalex-snapshot
Bayesianism in the Geosciences
inferred← citeshttps://doi.org/10.1007/s11135-026-02687-0openalex-snapshot
Towards a unified approach to formal “risk of bias” assessments for causal and descriptive inference
inferred← citeshttps://doi.org/10.1007/s11245-018-9542-8openalex-snapshot
The Role of Randomization in Bayesian and Frequentist Design of Clinical Trial
inferred← citeshttps://doi.org/10.1007/s11538-019-00589-xopenalex-snapshot
Using Experimental Data and Information Criteria to Guide Model Selection for Reaction–Diffusion Problems in Mathematical Biology
inferred← citeshttps://doi.org/10.1016/j.csda.2008.12.014openalex-snapshot
Bayesian causal effects in quantiles: Accounting for heteroscedasticity
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2009.04.011openalex-snapshot
A Bayesian approach to line-transect analysis for estimating abundance
inferred← citeshttps://doi.org/10.1080/09332480.2012.752294openalex-snapshot
Ethics and Statistics: Ethics and the Statistical Use of Prior Information
inferred← citeshttps://doi.org/10.1093/ajae/aaz029openalex-snapshot
Probability Distributions of Crop Yields: A Bayesian Spatial Quantile Regression Approach
inferred← citeshttps://doi.org/10.1093/erae/jbaf060openalex-snapshot
Bayesian econometrics in agricultural and resource economics
inferred← citeshttps://doi.org/10.1111/j.1365-294x.2010.04690.xopenalex-snapshot
ABC as a flexible framework to estimate demography over space and time: some cons, many pros
inferred← citeshttps://doi.org/10.1111/jan.14303openalex-snapshot
Can the Critical Appraisal Skills Programme check‐lists be used alongside Grading of Recommendations Assessment, Development and Evaluation to improve transparency and decision‐making?
inferred← citeshttps://doi.org/10.1145/3725279openalex-snapshot
Credible Intervals for Knowledge Graph Accuracy Estimation
inferred← citeshttps://doi.org/10.3758/s13423-015-0947-8openalex-snapshot
The fallacy of placing confidence in confidence intervals
inferred← citeshttps://doi.org/10.5204/thesis.eprints.202835openalex-snapshot
Computational inference in mathematical biology: Methodological developments and applications
inferred← citeshttps://doi.org/10.70675/b3b47cd9z9b36z4663zb245z1dce12a4a9faopenalex-snapshot
Advancing cosmological field-level inference with physics-informed Bayesian neural networks
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