arXiv - STAT - Other Statistics最新文献_第2页

FAVis: Visual Analytics of Factor Analysis for Psychological Research FAVis：心理研究因素分析的可视化分析

arXiv - STAT - Other Statistics Pub Date : 2024-07-19 DOI: arxiv-2407.14072

Yikai Lu, Chaoli Wang

引用次数: 0

Identifying Research Hotspots and Future Development Trends in Current Psychology: A Bibliometric Analysis of the Past Decade's Publications 识别当前心理学的研究热点和未来发展趋势：过去十年出版物的文献计量分析

arXiv - STAT - Other Statistics Pub Date : 2024-07-18 DOI: arxiv-2407.13495

Shen Liu, Yan Yang

{"title":"Identifying Research Hotspots and Future Development Trends in Current Psychology: A Bibliometric Analysis of the Past Decade's Publications","authors":"Shen Liu, Yan Yang","doi":"arxiv-2407.13495","DOIUrl":"https://doi.org/arxiv-2407.13495","url":null,"abstract":"By conducting a bibliometric analysis on 4,869 publications in Current\u0000Psychology from 2013 to 2022, this paper examined the annual publications and\u0000annual citations, as well as the leading institutions, countries, and keywords.\u0000CiteSpace, VOSviewer and SCImago Graphica were utilized for visualization\u0000analysis. On one hand, this paper analyzed the academic influence of Current\u0000Psychology over the past decade. On the other hand, it explored the research\u0000hotspots and future development trends within the field of international\u0000psychology. The results revealed that the three main research areas covered in\u0000the publications of Current Psychology were: the psychological well-being of\u0000young people, the negative emotions of adults, and self-awareness and\u0000management. The latest research hotspots highlighted in the journal include\u0000negative emotions, personality, and mental health. The three main development\u0000trends of Current Psychology are: 1) exploring the personality psychology of\u0000both adolescents and adults, 2) promoting the interdisciplinary research to\u0000study social psychological issues through the use of diversified research\u0000methods, and 3) emphasizing the emotional psychology of individuals and their\u0000interaction with social reality, from a people-oriented perspective.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744934","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 Future of Data Science Education 数据科学教育的未来

arXiv - STAT - Other Statistics Pub Date : 2024-07-16 DOI: arxiv-2407.11824

Brian Wright, Peter Alonzi, Ali Riveria

{"title":"The Future of Data Science Education","authors":"Brian Wright, Peter Alonzi, Ali Riveria","doi":"arxiv-2407.11824","DOIUrl":"https://doi.org/arxiv-2407.11824","url":null,"abstract":"The definition of Data Science is a hotly debated topic. For many, the\u0000definition is a simple shortcut to Artificial Intelligence or Machine Learning.\u0000However, there is far more depth and nuance to the field of Data Science than a\u0000simple shortcut can provide. The School of Data Science at the University of\u0000Virginia has developed a novel model for the definition of Data Science. This\u0000model is based on identifying a unified understanding of the data work done\u0000across all areas of Data Science. It represents a generational leap forward in\u0000how we understand and teach Data Science. In this paper we will present the\u0000core features of the model and explain how it unifies various concepts going\u0000far beyond the analytics component of AI. From this foundation we will present\u0000our Undergraduate Major curriculum in Data Science and demonstrate how it\u0000prepares students to be well-rounded Data Science team members and leaders. The\u0000paper will conclude with an in-depth overview of the Foundations of Data\u0000Science course designed to introduce students to the field while also\u0000implementing proven STEM oriented pedagogical methods. These include, for\u0000example, specifications grading, active learning lectures, guest lectures from\u0000industry experts and weekly gamification labs.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141721117","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

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy 通过优化最大均值差异实现集合传输滤波器

arXiv - STAT - Other Statistics Pub Date : 2024-07-16 DOI: arxiv-2407.11518

Dengfei Zeng, Lijian Jiang

引用次数: 0

Alternative proof for the bias of the hot hand statistic of streak length one 关于连胜长度为 1 的热门统计偏差的其他证明

arXiv - STAT - Other Statistics Pub Date : 2024-07-15 DOI: arxiv-2407.10577

Maximilian Janisch

引用次数: 0

Toward a Complete Criterion for Value of Information in Insoluble Decision Problems 为不可解决策问题中的信息价值制定完整标准

arXiv - STAT - Other Statistics Pub Date : 2024-07-13 DOI: arxiv-2407.09883

Ryan Carey, Sanghack Lee, Robin J. Evans

引用次数: 0

More than Formulas -- Integrity, Communication, Computing and Reproducibility in Statistics Education 不仅仅是公式 -- 统计教育中的诚信、交流、计算和可复制性

arXiv - STAT - Other Statistics Pub Date : 2024-07-11 DOI: arxiv-2407.08835

Eva Furrer, Annina Cincera, Reinhard Furrer

引用次数: 0

The Need for a Recurring Large-Scale Benchmarking Survey to Continually Evaluate Sampling Methods and Administration Modes: Lessons from the 2022 Collaborative Midterm Survey 需要定期开展大规模基准调查，以持续评估抽样方法和管理模式：2022 年合作中期调查的经验教训

arXiv - STAT - Other Statistics Pub Date : 2024-07-08 DOI: arxiv-2407.06090

Peter K. Enns, Colleen L. Barry, James N. Druckman, Sergio Garcia-Rios, David C. Wilson, Jonathon P. Schuldt

{"title":"The Need for a Recurring Large-Scale Benchmarking Survey to Continually Evaluate Sampling Methods and Administration Modes: Lessons from the 2022 Collaborative Midterm Survey","authors":"Peter K. Enns, Colleen L. Barry, James N. Druckman, Sergio Garcia-Rios, David C. Wilson, Jonathon P. Schuldt","doi":"arxiv-2407.06090","DOIUrl":"https://doi.org/arxiv-2407.06090","url":null,"abstract":"As survey methods adapt to technological and societal changes, a growing body\u0000of research seeks to understand the tradeoffs associated with various sampling\u0000methods and administration modes. We show how the NSF-funded 2022 Collaborative\u0000Midterm Survey (CMS) can be used as a dynamic and transparent framework for\u0000evaluating which sampling approaches - or combination of approaches - are best\u0000suited for various research goals. The CMS is ideally suited for this purpose\u0000because it includes almost 20,000 respondents interviewed using two\u0000administration modes (phone and online) and data drawn from random digit\u0000dialing, random address-based sampling, a probability-based panel, two\u0000nonprobability panels, and two nonprobability marketplaces. The analysis\u0000considers three types of population benchmarks (election data, administrative\u0000records, and large government surveys) and focuses on the national-level\u0000estimates as well as oversamples in three states (California, Florida, and\u0000Wisconsin). In addition to documenting how each of the survey strategies\u0000performed, we develop a strategy to assess how different combinations of\u0000approaches compare to different population benchmarks in order to guide\u0000researchers combining sampling methods and sources. We conclude by providing\u0000specific recommendations to public opinion and election survey researchers and\u0000demonstrating how our approach could be applied to a large government survey\u0000conducted at regular intervals to provide ongoing guidance to researchers,\u0000government, businesses, and nonprofits regarding the most appropriate survey\u0000sampling and administration methods.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141577853","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

Reducing Total Trip Time and Vehicle Emission through Park-and-Ride -- methods and case-study 通过停车换乘减少总行程时间和车辆排放--方法和案例研究

arXiv - STAT - Other Statistics Pub Date : 2024-07-08 DOI: arxiv-2407.05572

Ayane Nakamura, Fabiana Ferracina, Naoki Sakata, Takahiro Noguchi, Hiroyasu Ando

{"title":"Reducing Total Trip Time and Vehicle Emission through Park-and-Ride -- methods and case-study","authors":"Ayane Nakamura, Fabiana Ferracina, Naoki Sakata, Takahiro Noguchi, Hiroyasu Ando","doi":"arxiv-2407.05572","DOIUrl":"https://doi.org/arxiv-2407.05572","url":null,"abstract":"Serious traffic congestion and emission by excessive usage of private cars\u0000are crucial issues in our modern society. As one solution for these, a concept\u0000of Park-and-Ride (PnR) where people stop their private cars (i.e.\u0000single-occupancy vehicles) at stations and ride on public vehicles (i.e. mass\u0000transportation) are receiving wide attention recently. In this paper, we\u0000propose a comprehensive mathematical model which can evaluate waiting times and\u0000traveling times of customers, and the total emission of vehicles for various\u0000usage ratio of PnR and operation policies of public transportation. Using a\u0000system of queues integrated with an emissions model we perform a case-study of\u0000Tsukuba city, in Japan. We indicate an intriguing trade-off between the waiting\u0000time of customers for the PnR and the long traveling time due to the traffic\u0000congestion (leading to high emissions) caused by private cars depending on the\u0000usage ratio through some numerical experiments. Moreover, we study the total\u0000cost to society caused by total trip times and pollution, in which the decision\u0000variables are the capacities and frequencies of the public transportation for\u0000the PnR system. Our numerical results showed a significant reduction in the\u0000total social cost under the optimal transit policy for the current high usage\u0000rate of single-occupancy vehicles. Furthermore, we show that further reduction\u0000in the total social cost can be revealed by considering the reduction on the\u0000use of private cars compared to the current state implying the social\u0000importance of promoting car-free movement.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141575205","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

Fuzzy Social Network Analysis: Theory and Application in a University Department's Collaboration Network 模糊社会网络分析：大学院系合作网络的理论与应用

arXiv - STAT - Other Statistics Pub Date : 2024-07-02 DOI: arxiv-2407.02401

Annamaria Porreca, Fabrizio Maturo, Viviana Ventre

{"title":"Fuzzy Social Network Analysis: Theory and Application in a University Department's Collaboration Network","authors":"Annamaria Porreca, Fabrizio Maturo, Viviana Ventre","doi":"arxiv-2407.02401","DOIUrl":"https://doi.org/arxiv-2407.02401","url":null,"abstract":"Social network analysis (SNA) helps us understand the relationships and\u0000interactions between individuals, groups, organisations, or other social\u0000entities. In SNA, ties are generally binary or weighted based on their\u0000strength. Nonetheless, when actors are individuals, the relationships between\u0000actors are often imprecise and identifying them with simple scalars leads to\u0000information loss. Social relationships are often vague in real life. Despite\u0000many classical social network techniques contemplate the use of weighted links,\u0000these approaches do not align with the original philosophy of fuzzy logic,\u0000which instead aims to preserve the vagueness inherent in human language and\u0000real life. Dealing with imprecise ties and introducing fuzziness in the\u0000definition of relationships requires an extension of social network analysis to\u0000fuzzy numbers instead of crisp values. The mathematical formalisation for this\u0000generalisation needs to extend classical centrality indices and operations to\u0000fuzzy numbers. For this reason, this paper proposes a generalisation of the\u0000so-called Fuzzy Social Network Analysis (FSNA) to the context of imprecise\u0000relationships among actors. The article shows the theory and application of\u0000real data collected through a fascinating mouse tracking technique to study the\u0000fuzzy relationships in a collaboration network among the members of a\u0000University department.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141513511","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