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西交財(cái)會前沿論壇2020年第4期:Forecasting mortality with a hyperbolic spatio-temporal VAR model 2020-10-28


題目:Forecasting mortality with a hyperbolic spatio-temporal VAR model

報(bào)告人:江西財(cái)經(jīng)大學(xué)產(chǎn)業(yè)經(jīng)濟(jì)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(diǎn):bwin必贏唯一官網(wǎng)313室

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報(bào)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(xué)統(tǒng)計(jì)學(xué)博士,現(xiàn)任江西財(cái)經(jīng)大學(xué)產(chǎn)業(yè)經(jīng)濟(jì)研究院助理教授、碩士研究生導(dǎo)師,江西金融發(fā)展研究院高級研究員,統(tǒng)計(jì)之都理事會主席。其研究領(lǐng)域?yàn)榻鹑谟?jì)量和應(yīng)用統(tǒng)計(jì),其近期的研究興趣主要是缺失值插補(bǔ)、人口統(tǒng)計(jì)學(xué)、波動率預(yù)測模型以及機(jī)器學(xué)習(xí)在經(jīng)濟(jì)學(xué)領(lǐng)域的應(yīng)用等,已在相關(guān)領(lǐng)域發(fā)表論文十五篇。其主持國家自然科學(xué)基金一項(xiàng),參與多項(xiàng)國家和省級課題研究。教學(xué)方面曾獲得江西財(cái)經(jīng)大學(xué)雙語課程金牌講師和青年教師教學(xué)獎。其譯有《數(shù)據(jù)科學(xué)實(shí)戰(zhàn)》與《R語言入門與實(shí)踐》,并開發(fā)有數(shù)個R語言軟件包。


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