作者: 編輯:賈峰菊 發(fā)布時間:2020-10-28
題目:Forecasting mortality with a hyperbolic spatio-temporal VAR model
報告人:江西財經大學產業(yè)經濟研究院 馮凌秉 助理教授
時 間:2020年10月30日(周五)9:00開始
地 點:bwin必贏唯一官網313室
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報告摘要:In this study, we adopt the concept of hyperbolic memory to the spatial dimension and propose a hyperbolic STVAR (HSTVAR) model. In this talk, I showcase that, retaining all desirable features of the STVAR, our model uniformly beats the Lee-Carter model, the weighted functional demographic model, Spatio-temporal VAR and sparse VAR counterparties for forecasting accuracy, when French and Spanish mortality data over 1950–2016 are considered. Simulation results also lead to robust conclusions. Long-term forecasting analyses up to 2050 comparing the four models are further performed. To illustrate the extensible feature of HSTVAR to a multi-population case, a two-population illustrative example using the same sample is further presented.
主講人簡介:
馮凌秉,澳大利亞國立大學統(tǒng)計學博士,現任江西財經大學產業(yè)經濟研究院助理教授、碩士研究生導師,江西金融發(fā)展研究院高級研究員,統(tǒng)計之都理事會主席。其研究領域為金融計量和應用統(tǒng)計,其近期的研究興趣主要是缺失值插補、人口統(tǒng)計學、波動率預測模型以及機器學習在經濟學領域的應用等,已在相關領域發(fā)表論文十五篇。其主持國家自然科學基金一項,參與多項國家和省級課題研究。教學方面曾獲得江西財經大學雙語課程金牌講師和青年教師教學獎。其譯有《數據科學實戰(zhàn)》與《R語言入門與實踐》,并開發(fā)有數個R語言軟件包。