Journal of the Royal Statistical Society Series A-Statistics in Society最新文献_第7页

Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates 带协变量的层次贝叶斯p2模型对医院网络数据的时间分析

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-03-31 DOI: 10.1093/jrsssa/qnad036

F. Bartolucci, P. Li Donni, A. Mira

{"title":"Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates","authors":"F. Bartolucci, P. Li Donni, A. Mira","doi":"10.1093/jrsssa/qnad036","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad036","url":null,"abstract":"\u0000 Motivated by an application about interhospital connections, we propose a modelling approach for data referred to a temporal network. The approach may be seen as an extension of the one recently proposed in Bianchi et al. [(2020). Longitudinal networks of dyadic relationships using latent trajectories: Evidence from the European interbank market. Journal of the Royal Statistical Society: Series C, 69(4), 711–739] and, in turn, of the popular p1 and p2 models by Holland and Leinhardt [(1981). An exponential family of probability distributions for directed graphs. Journal of the American Statistical Association, 76(373), 33–50] and van Duijn et al. [(2004). p2: A random effects model with covariates for directed graphs. Statistica Neerlandica, 58(2), 234–254], on which the latter is built. The proposed extension consists in the introduction of covariates and in the adoption of a hierarchical Bayesian inferential approach that shows advantages in the specific application. For Bayesian inference we rely on a Markov chain Monte Carlo algorithm that produces samples from the posterior distribution of the model parameters. The application is based on original data on patient referral relations among 127 hospitals serving a large regional community of patients in Italy from 2014 to 2018. Results indicate that interhospital collaborative behaviours are primarily local and that collaborative attitudes vary at different time occasions of the considered period and in accordance with the level of competition faced by hospital organisations.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83837485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Written contribution to the Discussion of “Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment” by Kosuke Imai, Zhichao Jiang, D. JamesGreiner, Ryan Halen and Sooahn Shin 对“算法辅助人类决策的实验评估:在审前公共安全评估中的应用”讨论的书面贡献，作者:Kosuke Imai, Zhichao Jiang, D. JamesGreiner, Ryan Halen和Sooahn Shin

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-03-29 DOI: 10.1093/jrsssa/qnad018

E. Hunsicker

引用次数: 0

A practical revealed preference model for separating preferences and availability effects in marriage formation. 一个实用的揭示偏好模型，用于区分婚姻组建过程中的偏好和可得性效应。

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-03-22 eCollection Date: 2023-10-01 DOI: 10.1093/jrsssa/qnad031

Shuchi Goyal, Mark S Handcock, Heide M Jackson, Michael S Rendall, Fiona C Yeung

引用次数: 0

Reply to the discussants of “Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.” Journal of the Royal Statistical Society, Series A, Forthcoming 回答“算法辅助人类决策的实验评价:在审前公共安全评估中的应用”讨论者。英国皇家统计学会杂志，A辑，即将出版

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-24 DOI: 10.1093/jrsssa/qnad023

K. Imai, Zhichao Jiang, D. James Greiner, R. Halen, Sooahn Shin

{"title":"Reply to the discussants of “Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.” Journal of the Royal Statistical Society, Series A, Forthcoming","authors":"K. Imai, Zhichao Jiang, D. James Greiner, R. Halen, Sooahn Shin","doi":"10.1093/jrsssa/qnad023","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad023","url":null,"abstract":"We thank the Research Section of the Royal Statistical Society for providing us with a valuable opportunity to present our paper and receive feedback from many scholars. Despite their diverse perspectives, we believe that all of our discussants are in agreement about the need to develop new statistical methodology to better analyze algorithm-assisted human decision making. While the use of algorithms has become ubiquitous in today’s society, we — humans — still make many consequential decisions with the help of algorithms. As Kumar and VanderWeele noted, such a hybrid decision-making system may allows one to combine human experiences and knowledge with algorithmic recommendations, possibly leading to improved decisions. Moreover, even if fully algorithmic decision-making is more optimal than a hybrid system, we may still prefer the latter because we want to hold humans, rather than algorithms, accountable for the consequences of decisions. The importance of algorithm-assisted human decision making motivated us to develop a set of methodological tools to evaluate and understand how algorithmic recommendations affect human decisions. As echoed by Cruz Cortéz and Gosh, our study sharply contrasts with much of the existing studies whose focus has been the accuracy and fairness of algorithms themselves. We hope other researchers follow up on this important research agenda. Below, we respond to specific comments raised by the discussants.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90481376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comments on the paper “Experimental Evaluation of Algorithm-Assisted Human-Decision-Making: Application to Pretrial Public Safety Assessment” by Kosuke Imai, Z. Jiang, D J Greiner, R. Halen and S. Shin 《算法辅助人类决策的实验评价:在审前公共安全评估中的应用》(作者:今井孝介，江正仁，D J Greiner, R. Halen, S. Shin)

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-21 DOI: 10.1093/jrsssa/qnad021

K. Kumar

引用次数: 0

Discussion on: Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment 算法辅助人类决策的实验评价:在审前公共安全评估中的应用

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-18 DOI: 10.1093/jrsssa/qnad027

P. Conti

引用次数: 2

Commentary on “Experimental Evaluation of Algorithm-Assisted Human-Decision Making: Application to Pretrial Public Safety Assessment”. Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin “算法辅助人类决策的实验评价:在审前公共安全评估中的应用”述评。今井浩介，蒋志超，詹姆斯·格雷纳，瑞恩·海伦，申秀安

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-15 DOI: 10.1093/jrsssa/qnad017

Efrén Cruz Cortés, Debashis Ghosh

引用次数: 0

Discussion on the paper titled “Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to the Pretrial Safety Assessment” 关于“算法辅助人类决策的实验评价:在审前安全评价中的应用”论文的讨论

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-14 DOI: 10.1093/jrsssa/qnad025

Priyantha Wijayatunga

引用次数: 0

Discussion of ‘Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment’, part 1 “算法辅助人类决策的实验评估:在审前公共安全评估中的应用”的讨论，第1部分

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-14 DOI: 10.1093/jrsssa/qnad015

Aaron L Sarveta, Mats J Stensruda

引用次数: 0

Discussion of ‘Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment’, part 2 “算法辅助人类决策的实验评估:在审前公共安全评估中的应用”的讨论，第二部分

IF 2 3区数学

Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-02-14 DOI: 10.1093/jrsssa/qnad016

M. J. Stensrud, V. Didelez, Aaron L Sarvet

引用次数: 0