Forecasting basketball players' performance using sparse functional data          href='#sam11436-note-2001'>*</link>*

Vinué Guillermo; Epifanio Irene

摘要

Abstract >Statistics and analytic methods are becoming increasingly important in basketball. In particular, predicting players' performance using past observations is a considerable challenge. The purpose of this study is to forecast the future behavior of basketball players. The available data are sparse functional data, which are very common in sports. So far, however, no forecasting method designed for sparse functional data has been used in sports. A methodology based on two methods to handle sparse and irregular data, together with the analogous method and functional archetypoid analysis is proposed. Results in comparison with traditional methods show that our approach is competitive and additionally provides prediction intervals. The methodology can also be used in other sports when sparse longitudinal data are available. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract Type =“Main”XML：Lang =“en”> <标题类型=“main”>抽象</ title> >统计和分析方法在篮球中变得越来越重要。特别是，使用过去观察结果预测球员的表现是一个相当大的挑战。本研究的目的是预测篮球运动员的未来行为。可用数据是稀疏功能数据，在体育运动中非常常见。然而，到目前为止，没有为稀疏功能数据设计的预测方法已用于运动中。提出了一种方法，提出了一种处理稀疏和不规则数据的两种方法，以及类似方法和功能原型分析。结果与传统方法相比表明，我们的方法是竞争力的，另外提供预测间隔。当稀疏纵向数据可用时，该方法也可以在其他运动中使用。</ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" > 著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-28614/'>《Statistical Analysis and Data Mining 》</a> <b style="margin: 0 2px;">|</b><span>2019年第6期</span><b style="margin: 0 2px;">|</b> <span>共14页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Vinué Guillermo&option=202" target="_blank" rel="nofollow">Vinué Guillermo;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Epifanio Irene&option=202" target="_blank" rel="nofollow">Epifanio Irene;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Department of Statistics and O.R.University of ValenciaBurjassot Spain;</p> <p>Departamento de Matemàtiques and Institut de Matemàtiques i Aplicacions de CastellóUniversitat Jaume ICastelló Spain;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li> <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span> <a href="https://www.zhangqiaokeyan.com/clc/3056.html" title="经济统计学">经济统计学 ;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=archetypal analysis&option=203" rel="nofollow">archetypal analysis;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=basketball&option=203" rel="nofollow">basketball;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=forecasting&option=203" rel="nofollow">forecasting;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=functional data analysis&option=203" rel="nofollow">functional data analysis;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=functional sparse data&option=203" rel="nofollow">functional sparse data;</a> </p> <div class="translation"> 机译：原型分析;篮球;预测;功能数据分析;功能稀疏数据; 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Forecasting basketball players' performance using sparse functional data href='#sam11436-note-2001'>**

摘要