Cover Image

Toward a Complete Criterion for Value of Information in Insoluble Decision Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carey, Ryan, Lee, Sanghack, Evans, Robin J.
Format:	Preprint
Published:	2024
Subjects:	Other Statistics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Confidence as Forecast: A Decision-Theoretic Interpretation of Confidence Intervals
by: Lee, Scott
Published: (2026)

An Anytime Valid Test for Complete Spatial Randomness
by: Dixit, Vaidehi, et al.
Published: (2025)

The Actuary's Final Word on Algorithmic Decision Making
by: Recht, Benjamin
Published: (2025)

Towards a Unified Framework for Statistical and Mathematical Modeling
by: Zivich, Paul N
Published: (2025)

Hilbert's Sixth Problem and Soft Logic
by: Klein, Moshe, et al.
Published: (2026)

A Comparative Analysis of Multi-Criteria Decision-Making (MCDM) Methods
by: Hien, Nguyen Thi Thu, et al.
Published: (2025)

Asymptotic Normality of the Conditional Value-at-Risk based Pickands Estimator
by: Li, Yizhou, et al.
Published: (2024)

Revisiting the Lost Submarine Problem: A Decision Theoretic Approach
by: Almudevar, Anthony
Published: (2026)

Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
by: Yang, Yifan, et al.
Published: (2021)

Either a Confidence Interval Covers, or It Doesn't (Or Does It?): A Model-Based View of Ex-Post Coverage Probability
by: Lee, Scott
Published: (2026)

A possibility-theoretic solution to Basu's Bayesian--frequentist via media
by: Martin, Ryan
Published: (2023)

Toward Variation-Independent Regression by Composition
by: Zhao, Ruixuan, et al.
Published: (2026)

Possibilistic inferential models: a review
by: Martin, Ryan
Published: (2025)

Expected Points Above Average: A Novel NBA Player Metric Based on Bayesian Hierarchical Modeling
by: Williams, Benjamin, et al.
Published: (2024)

Data Jamboree: A Party of Open-Source Software Solving Real-World Data Science Problems
by: McGowan, Lucy D'Agostino, et al.
Published: (2025)

Resolving the induction problem: Can we state with complete confidence via induction that the sun rises forever?
by: Lee, Youngjo
Published: (2020)

Possibility-theoretic statistical inference offers performance and probativeness assurances
by: Cella, Leonardo, et al.
Published: (2023)

Statistical Compatibility, Refutational Information, and Acceptability
by: Rovetta, Alessandro
Published: (2026)

Bridging the Gap Between Methodological Research and Statistical Practice: Toward "Translational Simulation Research
by: Boulesteix, Anne-Laure, et al.
Published: (2025)

Hybrid physics-data driven spectral forecasts of semisubmersible response
by: Milne, Ian, et al.
Published: (2026)

Towards Strong AI: Transformational Beliefs and Scientific Creativity
by: Eschker, Samuel J., et al.
Published: (2024)

Domain matters: Towards domain-informed evaluation for link prediction
by: Bi, Yilin, et al.
Published: (2025)

Cognitive Constructivism and the Epistemic Significance of Sharp Statistical Hypotheses in Natural Sciences
by: Stern, J. M.
Published: (2010)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)

Guidelines and Best Practices to Share Deidentified Data and Code
by: Horton, Nicholas J., et al.
Published: (2024)

Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability
by: Kasy, Maximilian, et al.
Published: (2022)

The information mismatch, and how to fix it
by: Weisenthal, Samuel J., et al.
Published: (2025)

Good intentions, unintended consequences: exploring forecasting harms
by: Rostami-Tabar, Bahman, et al.
Published: (2024)

Beyond Reproducible Research: Building a Formal Representation of a Data Analysis
by: Peng, Roger D.
Published: (2026)

More Permutations Do Not Always Increase Power: Non-monotonicity in Monte Carlo Permutation Tests
by: Cha, Suman, et al.
Published: (2026)

Treatment effect: a critique
by: Battey, Heather, et al.
Published: (2026)

How causal perspectives can inform neuroscience data analysis
by: Bridgeford, Eric W., et al.
Published: (2025)

Statistics at a Crossroads; Who is for the Challenge?
by: He, Xuming, et al.
Published: (2025)

Why Name Popularity is a Good Test of Historicity
by: van de Weghe, Luuk, et al.
Published: (2024)

Reflections on the Future of Statistics Education in a Technological Era
by: Alexander, Craig, et al.
Published: (2026)

Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
by: Schwerter, Jakob, et al.
Published: (2026)

The Problem of the Priors, or Posteriors?
by: Lin, Hanti
Published: (2025)

Grammatical structures in mathematics: a personal view
by: O'Brien, Tess
Published: (2024)

The PORTSEA (Portuguese School of Extremes and Applications) and a few personal scientific achievements
by: Gomes, M. Ivette
Published: (2024)

Factors Associated with Unit-Specific Failure in a University-Level Statistics Course
by: Sierra, Biviana Marcela Suarez
Published: (2025)