The following pages link to Why Isn't Everyone a Bayesian? (Q3713298):
Displaying 44 items.
- Calibrated Bayes, for statistics in general, and missing data in particular (Q449806) (← links)
- Discussion of ``Calibrated Bayes, for statistics in general, and missing data in particular'' by R. Little (Q449809) (← links)
- Reuse, recycle, reweigh: combating influenza through efficient sequential Bayesian computation for massive data (Q542932) (← links)
- Prior sensitivity in theory testing: an apologia for the Bayes factor (Q618178) (← links)
- Constructing informative model priors using hierarchical methods (Q631951) (← links)
- Statistics for phylogenetic trees (Q849456) (← links)
- Was Bayes a Bayesian? (Q1096599) (← links)
- Sampling-resampling techniques for the computation of posterior densities in normal means problems (Q1209915) (← links)
- Bayesian reference prior analysis on the ratio of variances for the balanced one-way random effect model (Q1338371) (← links)
- Asymptotic normality under transformations. A result with Bayesian applications (Q1346940) (← links)
- Some issues in the foundation of statistics. (With comments by J. Berger, E. L. Lehmann, P. W. Holland, C. C. Clogg, N. W. Henry and the author's rejoinder) (Q1571122) (← links)
- Control of type I error rates in Bayesian sequential designs (Q1738139) (← links)
- Selection of the reference priors for a balanced random effects model (Q1906303) (← links)
- Incorporating external information in analyses of clinical trials with binary outcomes (Q1951537) (← links)
- Reference Bayesian analysis of inverse Gaussian degradation process (Q1985049) (← links)
- We are all Bayesian, everyone is not a Bayesian (Q2288268) (← links)
- The objectivity of subjective Bayesianism (Q2289709) (← links)
- Comment: ``Bayes, oracle Bayes, and empirical Bayes'' (Q2325627) (← links)
- Simple estimators of false discovery rates given as few as one or two \(p\)-values without strong parametric assumptions (Q2344250) (← links)
- Using experimental data and information criteria to guide model selection for reaction-diffusion problems in mathematical biology (Q2417536) (← links)
- Hierarchical approximate Bayesian computation (Q2452297) (← links)
- Was bedeutet der Begriff „Wahrscheinlichkeit“? (Q2835479) (← links)
- On future directions in statistical methodologies -- some speculations (Q2911659) (← links)
- Why I am not a Bayesian (Q2971674) (← links)
- Ambiguity and the Bayesian Paradigm (Q2971685) (← links)
- A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons (Q3108007) (← links)
- Bayesian designs and the control of frequentist characteristics: A practical solution (Q3465748) (← links)
- Critical issues in different inferential paradigms (Q3598255) (← links)
- A new approach to default priors and robust bayes methodology (Q4529334) (← links)
- On the Origins of Imperfection and Apparent Non-rationality (Q4558766) (← links)
- Tests of exponentiality against some parametric over/under-dispersed life time models (Q4638294) (← links)
- Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes (Q4666685) (← links)
- <i>i</i>Fusion: Individualized Fusion Learning (Q5120662) (← links)
- First-order marginalised transition random effects models with probit link function (Q5138051) (← links)
- On some counter-counter-examples about classical inference (Q5148372) (← links)
- On Regression Sampling in Statistical Auditing: Bad Answers to the Wrong Questions? (Q5750103) (← links)
- Multiple Perspectives on Inference for Two Simple Statistical Scenarios (Q5868275) (← links)
- “Not Only Defended But Also Applied”: The Perceived Absurdity of Bayesian Inference (Q5877094) (← links)
- An Interview with Bradley Efron (Q6068034) (← links)
- Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing (Q6069067) (← links)
- A multilevel structured latent curve model for disaggregating student and school contributions to learning (Q6109181) (← links)
- Classical \(p\)-values and the Bayesian posterior probability that the hypothesis is approximately true (Q6118722) (← links)
- Change time estimation uncertainty in nonlinear dynamical systems with applications to COVID‐19 (Q6152791) (← links)
- Discussion of: ``Specifying prior distribution in reliability applications'' by Tian, Lewis-Beck, Niemi, and Meeker (Q6581572) (← links)
