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Inflation Transmission Diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching

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Journal of Systems Science & Complexity 2024年

作者： FU Jiali CAI Fengjing WU Jinran ZHAO Shangrui WANG You-Gan 1.College of mathematics and Physics, Wenzhou University 2.institute for Positive Psychology and Education, Australian Catholic University 3.School of Science, Wuhan University of technology 4.School of mathematics and Physics, The University of Queensland College of mathematics and Physics Wenzhou University institute for Positive Psychology and Education Australian Catholic University School of Science Wuhan University of Technology School of mathematics and Physics The University of Queensland

The transmission of inflation is a widespread occurrence, and managing inflationary pressures is a crucial macroeconomic challenge. Although inflation is a typical macroeconomic variable,its contemporaneous and lagged causal relationships have not been thoroughly investigated, which could result in missing important policy insights. The Bayesian graph vector autoregression(BGVAR)model can identify contemporaneous and lagged causal relationships among economic variables, but it lacks practical research on inflationary inflation. To account for the structural transformation in the inflation transmission process, the authors propose a Bayesian graph vector autoregressive model with Markov switching(MS-BGVAR), which considers both regime switching and contemporaneous causality among macroeconomic variables. The proposed study focuses on analyzing the dynamics of inflation transmission relationships among G7 countries under different regimes, as these countries represent developed nations. The authors use inflation data from 1971–2019, which shows two distinct inflation regimes within the sample period. The authors conduct simulation experiments to generate moderately dimensional simulated data for both regimes and indicators, demonstrating the theoretical reliability of the proposed model in accurately identifying graph structures. Finally, the authors apply the proposed model to identify structural breaks and causal transmission relationships in the inflation transmission process of G7 economies, demonstrating that the proposed model has significant economic significance and good explanatory power in the selected target countries.

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Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm

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Journal of Systems Science & Complexity 2024年

作者： LIANG Shu ZHANG Lei WEI Yiheng LIU Yemo 1.department of Control Science and Engineering, Tongji University 2.Shanghai Research institute for Intelligent Autonomous Systems 3.School of mathematics, Southeast University 4.Beijing Aerospace Automatic Control institute department of Control Science and Engineering Tongji University Shanghai Research institute for Intelligent Autonomous Systems School of mathematics Southeast University Beijing Aerospace Automatic Control institute

In this paper, the authors consider distributed convex optimization over hierarchical networks. The authors exploit the hierarchical architecture to design specialized distributed algorithms so that the complexity can be reduced compared with that of non-hierarchically distributed *** this end, the authors use local agents to process local functions in the same manner as other distributed algorithms that take advantage of multiple agents' computing resources. Moreover, the authors use pseudocenters to directly integrate lower-level agents' computation results in each iteration step and then share the outcomes through the higher-level network formed by pseudocenters. The authors prove that the complexity of the proposed algorithm exponentially decreases with respect to the total number of pseudocenters. To support the proposed decomposition-composition method for agents and pseudocenters, the authors develop a class of operators. These operators are generalizations of the widely-used subgradient based operator and the proximal operator and can be used in distributed convex optimization. Additionally, these operators are closed with respect to the addition and composition operations; thus, they are suitable to guide hierarchically distributed design and analysis. Furthermore,these operators make the algorithm flexible since agents with different local functions can adopt suitable operators to simplify their calculations. Finally, numerical examples also illustrate the effectiveness of the method.

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Joint Multi-Source Localization and Environment Perception in Wireless Sensor Networks

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Joint Multi-Source Localization and Environment Perception i...

Spatiotemporal Evolution and Linkage Analysis of Mutton Price in Xinjiang

2010 Chinese Control and Decision Conference

作者： Qing Ling~1,Gang Wu~1,Chengyu Jiang~2,Zhi Tian~3 1.department of Automation,University of Science and technology of China,Hefei,Anhui,P.R.China,230027 2.department of mathematics,harbin institute of technology,Weihai,Shandong,P.R.China,264209 3.department of Electrical and Computer Engineering,Michigan Technological University,Houghton,Michigan,USA,49931

This paper addresses the problem of joint multi-source localization and environment perception in wireless sensor networks(WSNs) based on received signal strength(RSS).Contrary to the traditional RSS approaches which assume known number of sources and known parameter of environments,we propose to estimate the sources with unknown number and the unknown environmental parameter *** assuming that the sources are sparse in the sensing field,a non-convex e regularized least squares problem is *** non-convex problem is then decomposed to two simple subproblems,one for multi-source localization and another for environment perception.A joint multi-source localization and environment perception algorithm is proposed,with extensive simulations to validate its effectiveness.

关键词： Wireless Sensor Networks(WSNs) Received Signal Strength(RSS) Multi-Source Localization Environment Perception e1 Regularized Least Squares

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Journal of Systems Science and Information 2024年

作者： Yulin YANG Jian XU Lean YU 1.School of Economics and Management, University of Chinese Academy of Sciences 2.Business School, Sichuan University 3.School of Business, Shenzhen institute of technology School of Economics and Management University of Chinese Academy of Sciences Business School Sichuan University School of Business Shenzhen Institute of Technology

The mutton industry plays a pivotal role in the animal husbandry industry of Xinjiang Uygur Autonomous Region. To better monitor the volatility movement and risk warning of mutton price, the fluctuation characteristics of mutton prices and the future trend of prices are analyzed systematically. On the one hand, the Hodrick Prescott(HP) filter method is used to analyze the longterm trends and cyclical characteristics of mutton prices in Xinjiang and explored the spatial evolution characteristics of mutton price fluctuations in various regions of Xinjiang. On the other hand, the Threshold Auto-Regressive(TAR) model is used to analyze the linkage relationship between mutton prices and the prices of other livestock products. The empirical results show that(1) the overall volatility of mutton price in Xinjiang is high, showing a trend of rising first, then falling and then rising from the temporal perspective.(2) At the regional level, the price in the south is higher than that of the north, showing a decreasing trend from south to north on the whole from the spatial viewpoint.(3) From the linkage relationship perspective, mutton and beef are complementary in the short term,but they are substitutes each other in the long term. This paper explores the characteristics of mutton price fluctuations in Xinjiang from the single time series of mutton prices and the linkage with other livestock products, which provides a reliable basis for the monitoring and risk warning of mutton price fluctuation.

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咖啡因的科学共识

中国食品学报 2024年第6期24卷 498-504页

作者：中国食品科学技术学会北京100048

咖啡因是一种常见于咖啡、茶叶和可可等植物中的天然活性成分,作为功能添加成分已在国际食品领域广泛应用多年,适量摄入有助于健康人群提高注意力,促进运动能力,缓解疲劳。国内外相关食品安全监管机构一致认为,咖啡因虽在日常饮食中的... 详细信息

咖啡因是一种常见于咖啡、茶叶和可可等植物中的天然活性成分,作为功能添加成分已在国际食品领域广泛应用多年,适量摄入有助于健康人群提高注意力,促进运动能力,缓解疲劳。国内外相关食品安全监管机构一致认为,咖啡因虽在日常饮食中的摄入是安全的,但需关注个体差异、摄入量以及频率。许多国家和地区已对咖啡因在食品中的应用制定了严格的应用限量和标识规定。为进一步提升大众对咖啡因的科学认知,消除对咖啡因的偏见,推动咖啡因在相关食品产业的合理应用,中国食品科学技术学会组织食品科学、公共卫生、食品安全与食品营养等领域专家与相关产业界代表,通过现场咨询、文献检索、专题研讨等形式和方法,经广泛讨论形成咖啡因的科学共识,以推动咖啡因在我国的规范使用。

关键词：咖啡因健康益处摄入量应用管理

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A New Lie Algebra and a Way to Generate Multiple Integrable Couplings

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Communications in Theoretical Physics 2007年第12期48卷 979-982页

作者： FENG Bin-Lu~(1,2)and HAN Bo~1~1 department of mathematics,harbin institute of technology,harbin 150001,China~2.department of mathematics,Weifang University,Weifang 261000,China department of mathematics Harbin Institute of Technology Harbin 150001 China department of mathematics Weifang University Weifang 261000 China

A new higher-dimensional Lie algebra is constructed,which is used to generate multiple integrable *** this,we come to a general approach for seeking multi-integrable couplings of the known integrablesoliton equations.

关键词： Lie algebra integrable hierarchy Hamiltonian structure

K-uniformly rotund spaces and k-uniformly smooth spaces

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Chinese Science Bulletin 1998年第2期43卷 92-95页

作者： Suyalatu 1 and WU Congxin 2 1. department of mathematics,Inner Mongolia Normal University, Huhhot 010022, China 2. department of mathematics, harbin institute of technology, harbin 150006, China department of mathematics Inner Mongolia Normal University Huhhot China department of mathematics Harbin Institute of Technology Harbin China

The conception of k_uniform smoothness (KUS) is introduced. It is the extension of the conception of uniform smoothness. It is proved that the k_uniform smoothness and Sullivan’s K_uniform rotundity (KUR) are the daul notions. X+* is a KUR space if and only if X is a KUS space, X+* is a KUS space if and only if X is a KUR space. If X is a KUS space, then X is a (K+1)US space. It is also proved that the KUS space includes the Nan’s k_strongly smooth space.

关键词： K_uniform smoothness K_uniform convexity.

Pseudo almost periodic solutions to parabolic boundary value inverse problems

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Science China mathematics 2008年第7期51卷 1203-1214页

作者： ZHANG ChuanYi & YANG FengLin department of mathematics,harbin institute of technology,harbin 150001,China department of mathematics Harbin Institute of Technology Harbin China

We first define the pseudo almost periodic functions in a more general *** we show the existence,uniqueness and stability of pseudo almost periodic solutions of parabolic inverse problems for a type of boundary value ... 详细信息

关键词： pseudo almost periodic function inverse problem parabolic equation boundary value problem

THE STABILITY OF THE θ-METHODS FOR DELAYDIFFERENTIAL EQUATIONS

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Journal of Computational mathematics 1999年第4期17卷 441-448页

作者： Jing-jun Zhao Ming-zhu Liu(department of mathematics, harbin institute of technology, harbin 150001, China)Shen-shan Qiu(department of Computer Science and Engineering, harbin institute of technology, harbin 150001, China) 哈尔滨工业大学数学系黑龙江哈尔滨 150001 哈尔滨工业大学数学系黑龙江哈尔滨哈尔滨工业大学计算机系黑龙江哈尔滨

***0-methodsWedealwiththenumericalsolutionoftheinitialvalueproblem:Heref,no!TdenotegivenfunctionswithT(t)5t,whereasu(t)isunknown(fort>to)'Withtheso--calledone--leg0--method,linear0--methodandnew0--method,onecancompute... 详细信息

关键词： Delay differential equations Numerical solution Stabilityl θ-methods.