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Bayesian Modeling of the Mnemonic Similarity Task Using Multinomial Processing Trees. 使用多项式处理树的记忆相似性任务的贝叶斯建模
Behaviormetrika Pub Date : 2023-07-01 Epub Date: 2023-01-20 DOI: 10.1007/s41237-023-00193-3
Michael D Lee, Craig E L Stark
{"title":"Bayesian Modeling of the Mnemonic Similarity Task Using Multinomial Processing Trees.","authors":"Michael D Lee, Craig E L Stark","doi":"10.1007/s41237-023-00193-3","DOIUrl":"10.1007/s41237-023-00193-3","url":null,"abstract":"<p><p>The Mnemonic Similarity Task (MST: Stark et al., 2019) is a modified recognition memory task designed to place strong demand on pattern separation. The sensitivity and reliability of the MST make it an extremely valuable tool in clinical settings. We develop new cognitive models, based on the multinomial processing tree framework, for two versions of the MST. The models are implemented as generative probabilistic models and applied to behavioral data using Bayesian graphical modeling methods. We demonstrate how the combination of cognitive modeling and Bayesian methods allows for flexible and powerful inferences about performance on the MST. These demonstrations include latent-mixture extensions for identifying individual differences in decision strategies, and hierarchical extensions that measure fine-grained differences in the ability to detect lures. One key finding is that the availability of a \"similar\" response in the MST reduces individual differences in decision strategies and allows for more direct measurement of recognition memory.</p>","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"1 1","pages":"517-539"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936565/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45772442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Approaches to estimating longitudinal diagnostic classification models 纵向诊断分类模型的估计方法
Behaviormetrika Pub Date : 2023-06-28 DOI: 10.1007/s41237-023-00202-5
Matthew J. Madison, Seungwon Chung, Junok Kim, Laine P. Bradshaw
{"title":"Approaches to estimating longitudinal diagnostic classification models","authors":"Matthew J. Madison, Seungwon Chung, Junok Kim, Laine P. Bradshaw","doi":"10.1007/s41237-023-00202-5","DOIUrl":"https://doi.org/10.1007/s41237-023-00202-5","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135259864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploratory extended redundancy analysis using sparse estimation and oblique rotation of parameter matrices 利用参数矩阵的稀疏估计和倾斜旋转的探索性扩展冗余分析
Behaviormetrika Pub Date : 2023-06-09 DOI: 10.1007/s41237-023-00200-7
Naoto Yamashita
{"title":"Exploratory extended redundancy analysis using sparse estimation and oblique rotation of parameter matrices","authors":"Naoto Yamashita","doi":"10.1007/s41237-023-00200-7","DOIUrl":"https://doi.org/10.1007/s41237-023-00200-7","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"679 - 697"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49185251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data 基于心跳间隔的睡眠阶段分类的通用性:在自记录测试数据上验证三种机器学习方法
Behaviormetrika Pub Date : 2023-05-18 DOI: 10.1007/s41237-023-00199-x
S. Kranzinger, Sebastian Baron, C. Kranzinger, Dominik P. J. Heib, C. Borgelt
{"title":"Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data","authors":"S. Kranzinger, Sebastian Baron, C. Kranzinger, Dominik P. J. Heib, C. Borgelt","doi":"10.1007/s41237-023-00199-x","DOIUrl":"https://doi.org/10.1007/s41237-023-00199-x","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43181151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of individual-level adaptive stimulus selection on the group-level parameters for cognitive models 个体水平自适应刺激选择对认知模型群体水平参数的影响
Behaviormetrika Pub Date : 2023-05-11 DOI: 10.1007/s41237-023-00196-0
Kazuya Fujita, K. Katahira, Kensuke Okada
{"title":"The effect of individual-level adaptive stimulus selection on the group-level parameters for cognitive models","authors":"Kazuya Fujita, K. Katahira, Kensuke Okada","doi":"10.1007/s41237-023-00196-0","DOIUrl":"https://doi.org/10.1007/s41237-023-00196-0","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"699 - 717"},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49221289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Process theory of causality: a category-theoretic perspective 因果关系的过程论：范畴论视角
Behaviormetrika Pub Date : 2023-04-11 DOI: 10.1007/s41237-023-00197-z
{"title":"Process theory of causality: a category-theoretic perspective","authors":"","doi":"10.1007/s41237-023-00197-z","DOIUrl":"https://doi.org/10.1007/s41237-023-00197-z","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41462737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Combining Kibria-Lukman and principal component estimators for the distributed lag models 分布滞后模型的Kibria-Lukman和主成分估计的组合
Behaviormetrika Pub Date : 2023-04-11 DOI: 10.1007/s41237-023-00198-y
A. Lukman, M. Norouzirad, F. Marques, D. Mazarei
{"title":"Combining Kibria-Lukman and principal component estimators for the distributed lag models","authors":"A. Lukman, M. Norouzirad, F. Marques, D. Mazarei","doi":"10.1007/s41237-023-00198-y","DOIUrl":"https://doi.org/10.1007/s41237-023-00198-y","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"621 - 652"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45092789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
An algorithm for sparse factor analysis with common factors and/or specific factors dissociated from errors 一种稀疏因子分析的算法，将常见因子和/或特定因子与误差分离
Behaviormetrika Pub Date : 2023-02-01 DOI: 10.1007/s41237-023-00195-1
K. Adachi
{"title":"An algorithm for sparse factor analysis with common factors and/or specific factors dissociated from errors","authors":"K. Adachi","doi":"10.1007/s41237-023-00195-1","DOIUrl":"https://doi.org/10.1007/s41237-023-00195-1","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"1 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42520514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Introduction to the Vol. 50, No. 2, 2023. 《对2023年第50卷第2期的介绍》。
Behaviormetrika Pub Date : 2023-01-01 Epub Date: 2023-06-08 DOI: 10.1007/s41237-023-00201-6
Maomi Ueno
{"title":"Introduction to the Vol. 50, No. 2, 2023.","authors":"Maomi Ueno","doi":"10.1007/s41237-023-00201-6","DOIUrl":"10.1007/s41237-023-00201-6","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 2","pages":"513-515"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249544/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9656516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Value expansion and sense making. 价值扩展和意义创造。
Behaviormetrika Pub Date : 2023-01-01 Epub Date: 2022-08-08 DOI: 10.1007/s41237-022-00179-7
Olga Zervina
{"title":"Value expansion and sense making.","authors":"Olga Zervina","doi":"10.1007/s41237-022-00179-7","DOIUrl":"10.1007/s41237-022-00179-7","url":null,"abstract":"<p><p>The primary purpose of companies is to create value. Companies use competitive analysis to develop their value proposition. Performing this analysis manually is a time-consuming task. Automating the process of identifying and expanding value proposition, as well as categorizing it, would bring benefits for industries. This paper aims to summarize and systematize the results of previous research on a mechanism for automatically identifying companies' value proposition. This is a novel task and with this work the author hopes to show feasibility and set a baseline. To narrow down the task, air transportation domain was selected. The goal of the research was to obtain insights and systemize values; to achieve it, the author utilized a bottom-up data-driven approach. The first step was to create a corpus of values. 96 respondents conducted a survey with open-end questions; 796 start-ups were identified and 96 annotators labelled start-ups' landing pages by annotating values. The next step was structuring data for a deeper understanding of values by examining annotations and organizing values into taxonomies. The practical use of the results includes machine learning training material for automation of value-related tasks.</p>","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 2","pages":"585-617"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360716/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9644389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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