Results 11 to 20 of about 43 (43)

Detailed Statistical Inference – From Multiple Decisions to Confidence Sets – A Non­Bayesian Approach

, 2000
A new approach to detailed statistical inference for the two-decision and multiple decision problem was developed by Chatterjee and Chattopadhyay (1992, 1993).
Gaurangadeb Chattopadhyay
core   +1 more source

Causal inference with textual data: A quasi-experimental design assessing the association between author metadata and acceptance among ICLR submissions from 2017 to 2022

Journal of Causal Inference
Many recent studies have probed status bias in the peer-review process of academic journals and conferences. In this article, we investigated the association between author metadata and area chairs’ final decisions (Accept/Reject) using our compiled ...
Chen Chang, Zhang Jiayao, Ye Ting, Roth Dan, Zhang Bo   +4 more
doaj   +1 more source

Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins

Journal of Causal Inference
I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.
Dawid Philip
doaj   +1 more source

From urn models to box models: Making Neyman's (1923) insights accessible

Journal of Causal Inference
Neyman’s 1923 paper introduced the potential outcomes framework and the foundations of randomization-based inference. We discuss the influence of Neyman’s paper on four introductory to intermediate-level textbooks by Berkeley faculty members (Scheffé ...
Lin Winston, Dudoit Sandrine, Nolan Deborah, Speed Terence P.   +3 more
doaj   +1 more source

Spillover detection for donor selection in synthetic control models

Journal of Causal Inference
Synthetic control (SC) models are widely used to estimate causal effects in settings with observational time-series data. To identify the causal effect on a target unit, SC requires the existence of additional units that are not impacted by the ...
O’Riordan Michael, Gilligan-Lee Ciarán M.   +1 more
doaj   +1 more source

Decision making, symmetry and structure: Justifying causal interventions

Journal of Causal Inference
We can use structural causal models (SCMs) to help us evaluate the consequences of actions given data. SCMs identify actions with structural interventions. A careful decision maker may wonder whether this identification is justified.
Johnston David O., Ong Cheng Soon, Williamson Robert C.   +2 more
doaj   +1 more source

Idescat. SORT. On the frequentist and Bayesian approaches to hypothesis testing. Volume 30 (1)

, 2020
Hypothesis testing is a model selection problem for which the solution proposed by the two main statistical streams of thought, frequentists and Bayesians, substantially differ.
Elías Moreno, Girón, F Javier Girón, F Javier   +3 more
core  

A Characterization for the Spherical Scoring Rule

decision theory, probability assessment, probability elicitation, proportionality, strictly proper scoring rule, Primary 62C99, Secondary 62A01, 90B50, 91B06, C44, C89,
Victor Jose
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Comment on: “Decision-theoretic foundations for statistical causality”

Journal of Causal Inference, 2022
Shpitser Ilya
doaj   +1 more source

Introduction to Double Robust Methods for Incomplete Data. [PDF]

Stat Sci, 2018
Seaman SR, Vansteelandt S.
europepmc   +1 more source