Econometrics: Mathematical Methods & Programming eJournal最新文献_第6页

E-Inversive Semigroups With the Identity ABC = AC 具有ABC = AC恒等式的e逆半群

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-04-16 DOI: 10.2139/ssrn.3390372

P. S. Reddy, Kassaw Benebere

引用次数: 0

Quantum Theory of the Development of Science, Economic and Society 科学、经济和社会发展的量子理论

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-04-07 DOI: 10.2139/ssrn.3367633

V. Bezverkhniy, Vitaliy Bezverkhniy

引用次数: 3

A Novel Technique for Privacy Preservation Using K-Anonymization and Nature Inspired Optimization Algorithms 一种基于k -匿名化和自然优化算法的隐私保护新技术

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-03-21 DOI: 10.2139/ssrn.3357276

S. Madan, Puneet Goswami

{"title":"A Novel Technique for Privacy Preservation Using K-Anonymization and Nature Inspired Optimization Algorithms","authors":"S. Madan, Puneet Goswami","doi":"10.2139/ssrn.3357276","DOIUrl":"https://doi.org/10.2139/ssrn.3357276","url":null,"abstract":"Thе nеw agе tеchniquеs of cloud computing for procеssing of data is gеnеrally scalablе and sеcurе and to a grеat еxtеnt attracts thе infrastructurе to support big data applications. Howеvеr, thе privacy issuеs posе hindrancе for using thе cloud platforms. Numеrous tеchniquеs arе lеarnt for prеsеrvation of privacy whеrеin data usability and data obfuscation is considеrеd but failеd in balancing thе data privacy and data utility. Naturе-inspirеd mеtahеuristic algorithms arе simplе and flеxiblе and thus now-a-days popular among rеsеarchеrs. Thеsе naturе-inspirеd algorithms arе analysеd in tеrms of thеir kеy fеaturеs likе thеir divеrsity and adaptation, еxploration and еxploitation, and attractions and diffusion mеchanisms. This papеr proposеs an anonymization basеd privacy prеsеrvation modеl using k-anonymization critеria and intеgration of two algorithms - Grеy wolf optimizеr and Cat Swarm Optimization, for attaining privacy prеsеrvation in big data bеforе providing thе data to thе cloud platform. Thе anonymization tеchniquе is procеssеd by adapting k- anonymization critеria for duplicating k-rеcords from thе original databasе. New technique will rеvеal only thе еssеntial dеtails to thе еnd usеrs by hiding thе confidеntial information to offеr a sеcurеd communication. To attain balancе bеtwееn privacy and utility, thе fitnеss function is formulatеd and thе proposеd tеchniquе is comparеd with various еxisting tеchniquеs basеd on thе pеrformancе mеtrics - Classification accuracy and Information loss.","PeriodicalId":299310,"journal":{"name":"Econometrics: Mathematical Methods & Programming eJournal","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190271","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: 7

A Computational Model that Recovers Depth from Stereo-Input without Using Any Oculomotor Information 一种不使用任何眼动信息从立体输入恢复深度的计算模型

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-03-18 DOI: 10.2139/ssrn.3354468

T. Sawada

引用次数: 1

The Factorization Method for the β-Difference Hypergeometric Equation β-差分超几何方程的因子分解方法

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-03-13 DOI: 10.2139/ssrn.3351635

G. Bangerezako

引用次数: 0

Intuitive Mathematical Economics Series. Linear Structures I. Linear Manifolds, Vector Spaces and Scalar Products 直观数学经济学系列。线性结构1 .线性流形、向量空间与标量积

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-03-01 DOI: 10.2139/ssrn.3357144

S. Pernice

引用次数: 0

The Employment Effects of Technological Innovation, Consumption, and Participation in Global Value Chains: Evidence from Developing Asia 技术创新、消费和全球价值链参与的就业效应:来自亚洲发展中国家的证据

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-02-26 DOI: 10.2139/ssrn.3343998

D. Bertulfo, Elisabetta Gentile, Gaaitzen J. de Vries

{"title":"The Employment Effects of Technological Innovation, Consumption, and Participation in Global Value Chains: Evidence from Developing Asia","authors":"D. Bertulfo, Elisabetta Gentile, Gaaitzen J. de Vries","doi":"10.2139/ssrn.3343998","DOIUrl":"https://doi.org/10.2139/ssrn.3343998","url":null,"abstract":"Global value chains (GVCs) have been a vehicle for job creation in developing Asia, but there is mounting concern that more sophisticated and cost-effective technology could displace workers through automation or reshoring of production. We use the demand-based input–output approach in Reijnders and de Vries (2018) to examine how employment responded to consumption, trade, and technological advances in 12 economies that accounted for 90% of employment in developing Asia during the period 2005–2015. Structural decomposition analysis based on the Asian Development Bank Multiregional Input–Output Tables combined with harmonized cross-country occupation data indicates that, other things being equal, technological change within GVCs was associated with a decrease in labor demand across all sectors, and an increase in the share of nonroutine cognitive occupations. We also find that increased domestic consumption expenditures of goods and services generated an increase in labor demand large enough to offset the negative employment impact of technological change. Finally, we do not find evidence of major shifts in occupational labor demand due to reshoring.","PeriodicalId":299310,"journal":{"name":"Econometrics: Mathematical Methods & Programming eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129967043","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: 4

The Accumulation of Value Over Time 价值随时间的积累

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-02-24 DOI: 10.2139/ssrn.3347937

Dennis Sentilles

引用次数: 0

Click-Based MNL: Algorithmic Frameworks for Modeling Click Data in Assortment Optimization 基于点击的MNL:分类优化中点击数据建模的算法框架

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-02-23 DOI: 10.2139/ssrn.3340620

A. Aouad, Jacob B. Feldman, D. Segev, Dennis J. Zhang

{"title":"Click-Based MNL: Algorithmic Frameworks for Modeling Click Data in Assortment Optimization","authors":"A. Aouad, Jacob B. Feldman, D. Segev, Dennis J. Zhang","doi":"10.2139/ssrn.3340620","DOIUrl":"https://doi.org/10.2139/ssrn.3340620","url":null,"abstract":"In this paper, we introduce the click-based MNL choice model, a novel framework for capturing customer purchasing decisions in e-commerce settings. Our main modeling idea is to assume that the click behavior within product recommendation or search results pages provides an exact signal regarding the alternatives considered by each customer. We study the resulting assortment optimization problem, where the objective is to select a subset of products, made available for purchase, to maximize the expected revenue. Our main algorithmic contribution comes in the form of a polynomial-time approximation scheme (PTAS) for this problem, showing that the optimal expected revenue can be efficiently approached within any degree of accuracy. In the course of establishing this result, we develop novel technical ideas, including enumeration schemes and stochastic inequalities, which may be of broader interest. \u0000 \u0000In order to quantify the benefits of incorporating click behavior within choice models, we present a case study based on data acquired in collaboration with the retail giant Alibaba. We fit click-based MNL and standard MNL models to historical sales and click data in a setting where the online platform must present customized six-product displays to users. We demonstrate that utilizing the click-based MNL model leads to substantial improvements over the standard MNL model in terms of prediction accuracy. Furthermore, we generate realistic assortment optimization instances that mirror Alibaba's customization problem, and implement practical variants of our approximation scheme to compute assortment recommendations in these settings. We find that the recommended assortments have the potential to be at least 9% more profitable than those resulting from a standard MNL model. We identify a simple greedy heuristic, which can be implemented at large scale, while also achieving near-optimal revenue performance in our experiments.","PeriodicalId":299310,"journal":{"name":"Econometrics: Mathematical Methods & Programming eJournal","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123085467","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: 22

The Knightian Uncertainty Hypothesis: Unforeseeable Change and Muth’s Consistency Constraint in Modeling Aggregate Outcomes 奈特的不确定性假设:不可预见的变化和Muth的一致性约束

Econometrics: Mathematical Methods & Programming eJournal Pub Date : 2019-02-21 DOI: 10.2139/ssrn.3341203

R. Frydman, S. Johansen, Anders Rahbek, M. Tabor

引用次数: 13