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School | School of Statistics |
Major | Statistics |
Major code | 071400 |
Duration in years | 4 years |
Final award | Doctoral candidate |
Degree awarding category and code | 07 Neo-contrarianism |
Program lead and contact information | Xiaohui Liu/15870628582 |
Program coordinator contact information | Yuhua Tan/15797918569 |
1. Program Specification
1. Brief outline In 1956, 1985 and 2011, the statistics of Jiangxi University of Finance and Economics, hereafter JUFE, was authorized to grant bachelor's degree, master's degree and doctor's degree, respectively. In 2012, the statistics of JUFE was approved as a postdoctoral mobile station. In the fourth round of discipline evaluation of the Ministry of Education, the statistics of JUFE was awarded as A- grade, ranking among the top 10% of China. The statistics PhD program in JUFE aims to provide students with comprehensive training in statistical theories and methods and the application of statistical methods to a wide range of problems. It is specially equipped with courses that enable students to deeply understand statistical methods and innovate to solve application problems, so as to help students become high-level professionals in relevant fields. 2. Educational aims Cultivate high-level international statistics professionals with credibility, sensitivity, honesty and perseverance who understand China's political, economic and diplomatic systems, understand China's mainstream core values and public morality, form a good sense of legal system and social responsibility, have good moral character, physical and mental health, are friendly to China, and meet the needs of society. Detailed requirements are as follows. 1. General Requirements: （1）. Through systematic study and research, master the solid and broad basic theory and systematic and in-depth professional knowledge of this discipline, grasp appropriate skills and methods, have the ability to independently engage in scientific research and solve practical problems, have strong ability to synthesize and present independent insights into the fields of science and technology relevant to the research area, obtain innovative research results, and have a strong career ambition. （2）. Have a broad international vision in the field of this discipline, innovate and develop the theories, skills and methods of this discipline in the world, and have a competitive advantage in international affairs. 2. Specific Requirements: (1) Skillfully search and read books and academic journals related to the discipline, keep abreast of the latest developments in the academic development of the discipline and the major issues at the forefront of research, and have a good understanding of the basic theory of level I discipline. (2) Be familiar with the writing specifications of scientific papers, write academic papers in English independently, and initially have the ability of independent research. (3) Set up basic courses and elective courses at undergraduate and postgraduate levels, and get better teaching results. 3. Special features Jiangxi University of Finance and Economics statistics based on jiangxi red soil, adhering to the school motto of honesty, sensitivity, Integrity, pragmatic and innovative, constantly summarize, formed its own training characteristics. (1) Attach importance to the education of China's national conditions and the cultivation of friendship and awareness of China among overseas students; (2) Pay attention to problem orientation, combine theory with practice, actively guide students to carry out academic research in combination with the characteristics of the host country, and encourage students to carry out statistical data analysis of countries along the Belt and Road; (3) To implement the double tutorial system for overseas students, focusing on the dual guidance of students' life and academic. 4. Admission requirements 1.All applicants shall be non-Chinese citizens at the age of 18 with a valid foreign passport, in good health, good conduct, no criminal record, willing to abide by Chinese government laws and regulations of schools, and respect the customs and habits of the Chinese people. 2.A Master's degree related to statistics recognized in China 3.English and Chinese meet the basic requirements of the overseas college admission of Jiangxi University of Finance and Economics. 5. Teaching and learning methods The training method implements the tutor responsibility system. The tutor has formulated the doctoral candidate training program according to the “Measures of Jiangxi University of Finance and Economics for Management of the Training of Foreign Postgraduate Students Studying in China”, and is responsible for guidance of foreign students in training segment during their study. The tutor may be provided with counselors or associate tutors as required, who may assist the tutor in teaching, scientific research and thesis writing. The assistant tutors should assist chief counselor in making the training program for overseas doctoral students, and conducting daily management of overseas students (regularly communicate with overseas doctoral students to understand their study and life trends), and should assist chief counselor in information communication (including information exchange with the Graduate School and the Department of International Cooperation and Exchange). Specific training methods include: (1) The combination of classroom learning and social practice, systematic learning and specialized research. (2) Focus on self-taught, adopt heuristic, research & development teaching. (3) Teach postgraduate students in accordance with their aptitude and give full play to their personal strengths, and pay attention to the training of postgraduate students’ self-taught ability, expression ability, scientific research collaboration ability and innovation ability. 6. Assessment methods Public degree courses, public elective courses must organize and implement standardized classroom examinations according to the unified deployment of the Graduate Faculty. The postgraduate students can obtain corresponding course credits only after passing the examinations. For professional degree courses and direction elective courses, the class teachers shall, according to the actual teaching contents with reference to the relevant regulations of the Graduate Faculty, adopt classroom examination or writing course essays or other assessment methods to conduct scientific and reasonable course assessment on the students, and give course assessment scores. The students can obtain the corresponding course credits only after the assessment is reasonable. 7. Academic requirements and scientific research (for Masters and Doctors) The postgraduate students must complete the individual training program under the guidance of the supervisor, participate in scientific research according to the requirements of the individual training program, actively participate in relevant research topics of the supervisor, and actively apply for various scientific research funds. (1) Requirements for academic thesis The postgraduate students are required to publish at least one academic thesis related to their major direction and the contents of their academic theses in a national or international official journal or accepted by an international academic conference. All published academic thesis must be signed first by Jiangxi University of Finance and Economics. (II) Requirements for academic report Doctoral students should give at least one public academic report at the university or one thesis presentation at the academic seminar of the discipline. Moreover, doctoral students should fill in the Registration Form of Doctoral Academic Activities of Jiangxi University of Finance and Economics, and submit it to the training organization for summary after being signed by the supervisor, and submit it to the degree department of the graduate school for review as one of the qualifications for graduation. 8. Methods for evaluating the quality of teaching lComplete the questionnaire to evaluate the quality of teaching in the online evaluation system. 9. Career opportunities of the students The typical career destinations for PhD in Statistics will be in, but are not limited to as following： 1. To engage in statistical and other related economic management in industrial and commercial enterprises, financial institutions and government departments. 2.In institutions of higher learning or research institutions engaged in relevant professional teaching and research work. 10. Requirements for graduation 1. Credit structure Doctoral students should complete the required total credits at school, which can be divided into two categories: course credits and graduation thesis credits. The minimum total credits of doctoral students taught in English is 30, including minimum 24 credits for courses, 2 credits for academic thesis and 4 credits for graduation thesis. 2.Requirements for academic thesis The postgraduate students are required to publish at least one academic thesis related to their major direction and the contents of their academic theses in a national or international official journal or accepted by an international academic conference. All published academic thesis must be signed first by Jiangxi University of Finance and Economics.
3. Requirements for Chinese language Doctoral students who are taught in English must pass the examination of HSK Level 3 upon graduation to obtain a certificate of doctoral degree. Doctoral students who are taught in Chinese must pass the examination of HSK Level 5 upon graduation to obtain a certificate of doctoral degree. 11. Basic requirements for graduates I. Quality required Professional ethics: To form a good professional ethics that the statistical personnel should have. Integrity: Law-abiding, and in compliance with laws and regulations. Business quality: Master professional knowledge and relevant knowledge, adapt to the policy and keep pace with the times Communication skills: Good team cooperation skills and communication skills. Psychological quality: have a good psychological quality, calmly deal with risks. II. Knowledge required (1)Be able to search and read books and academic journals related to the subject, be familiar with the latest developments in the subject 's academic developments and major topics at the forefront of research, and have a better understanding of the basic theories of the subject-level discipline ; (2) Familiar with the writing norms of scientific and technological papers, can independently complete the writing of English academic papers, and have the initial independent scientific research ability ; (3) Can independently set up undergraduate and master level of basic courses and elective courses, and can obtain better teaching effect. III. Ability required Professional ability: have certain forecasting ability, decision-making ability, planning ability, control ability and analysis ability. Communication skills: team spirit and communication and cooperation ability Keep pace with the times: constantly adjust and update the knowledge structure and ability according to the new policies and requirements. 12. Core Curriculum
13. Curriculum system The courses for doctoral students are divided into degree courses (common degree courses and professional degree courses) and non-degree courses (common electives and directional electives), with details as follows (1)Degree courses are divided into public degree courses and professional degree courses. The public degree courses taught in English are 12 credits in total, including 8 credits of Preliminary Chinese I II , 2 credits of Introduction to China and 2 credits of China’s Economy& Policy. (2)A total of 9 credits of professional degree courses should include at least two or more courses, and 2 credits of Comprehensive English should be added for public elective courses for international students in Chinese. (3)Professional degree courses, 9 credits in total, should include at least two courses. All non-degree courses are elective courses, with a minimum of 9 credits, including public electives and directional electives. 14. Practical courses International Master students should engage in social research activities that comply with their professional requirements, which accounts for 2 credits. After the investigation, the social research report must be submitted to the tutor. The tutor evaluates the results according to the quality of the social research report, which are divided into two grades: qualified and unqualified. Students whose report is assessed as unqualified should re-write the research report until it is passed. |
2. Teaching Plan
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3.Teachers and Courses
课程学分 | 课程总学时 | 拟授课教师 | 授课学期 | |
中国概况 Introduction to China | 2 | 32 | Long Xiao | first |
中国经济政策体系 China’s Economy& Policy | 2 | 32 | Xiaoping Wang | second |
初级汉语I Preliminary Chinese I | 4 | 64 | Wei Yang | first |
初级汉语II Preliminary Chinese II | 4 | 64 | Wei Yang | second |
高等统计学Ⅰ Advanced Statistics I | 3 | 48 | Xiaohui Liu | first |
高等统计学Ⅱ Advanced Statistics II | 2 | 32 | Xiaohui Liu | second |
高等概率论 Advanced Probability | 2 | 32 | Hua zhang | first |
中国宏观经济统计分析 Statistical Analysis of China’s Macroeconomic | 2 | 32 | Jing Wang | first |
贝叶斯统计 Bayesian statistics | 2 | 32 | He Jiang | third |
重抽样方法 Resampling Methods | 2 | 32 | Chun Yu | third |
高维数据分析 High-Dimensional Data Analysis | 2 | 32 | Haiqiang Ma | third |
非参数统计 Nonparametric Statistics | 2 | 32 | Qingsong Shan | third |
线性模型方法 Linear Model Method | 2 | 32 | Chun Yu | second |
经济统计研究方法 Research methods of Economic Statistics | 2 | 32 | Weiying Ping,Lu Guo | second |
3.2 Name List of the Teachers
| Gender
| Date of birth
| Courses to be taught | Professional and technical position | Institution name of the highest degree | Major of the highest degree | The highest degree | Research field | Full time/part time |
Hua zhang | male | August 1986 | Higher probability theory | Associate Professor | Zhongshan University | Probability Theory and Mathematical Statistics | Doctor | Stochastic analysis and its application | Full-time |
Weiying Ping | Female | August 1979 | Economic Statistical Research Method | Professor | Zhongnan University of Economics and Law | Statistics | Doctor | Research on national economic accounting, macroeconomic statistical analysis, poverty measures and other aspects | Full-time |
Ting Wen | male | December 1986 | Economic Statistical Research Method | Lecturer | Zhongnan University of Economics and Law | Statistics | Doctor | Macroeconomic statistical analysis, service economy research | Full-time |
Feng Li | female | December 1976 | Economic Statistical Research Method | Associate Professor | Beijing Normal University | Educational Statistics | Doctor | Cognitive diagnostic models, item response theory, and causal inferences | Full-time |
Jing Li | female | November 1979 | Economic Statistical Research Method | Associate Professor | Finance and Economics University Of Jiangxi | Statistics | Doctor | National accounting | Full-time |
Lu Guo | female | October 1983.10 | Economic Statistical Research Method | Associate Professor | Finance and Economics University Of Jiangxi | Economic Statistics | Doctor | Economic index, macroeconomic measures, poverty measures | Full-time |
Qiu Huang | female | July 1986 | Economic Statistical Research Method | Lecturer | Northeast University of Finance and Economics | Statistics | Doctor | National economic statistics, logistics statistics | Full-time |
Jing Wang | female | October 1980 | China's Macroeconomic Statistical Analysis | Associate Professor | Shanghai University of Finance Economics | Statistics | Doctor | National economic accounting, government financial statistics, monetary and financial statistics, macro-financial risk monitoring and early warning | Full-time |
JingJing Wang | female | January 1984 | Statistical Model | Lecturer | National University of Singapore | Mechanical Engineering | Doctor | Artificial intelligence, data mining, machine vision, drones | Full-time |
Haiqiang Ma | male | November 1982 | High Dimensional Data Analysis | Lecturer | Fudan University | Probability Theory and Mathematical Statistics | Doctor | Function-type data, quantile regression | Full-time |
Xiaohui Liu | male | September 1982 | Higher Statistics I | Professor | Central South University | Mathematical Statistics | Doctor Doctor | Robust statistics; semi-parametric and non-parametric statistics; time-series analysis; statistical calculation; mixed-effect model | Full-time |
Higher Statistics Ⅱ | |||||||||
Qingsong Shan | male | May 1980 | Non-parametric Statistics | Lecturer | New Mexico State University, USA | Probability Theory and Mathematical Statistics | Doctor | Probability theory and mathematical statistics | Full-time |
Chun Yu | male | December 1973 | Resampling method | Associate Professor | Kansas State University, USA | Statistics | Doctor Doctor | Robust regression, mixed model, and data mining | Full-time |
Linear Model Method | |||||||||
He Jiang | male | June 1985 | Bayesian statistics | Associate Professor | Florida State University | Statistics | Doctor | Photovoltaic power prediction theory, data mining, artificial intelligence, high-dimensional data variable selection | Full-time |
High Dimensional Data Analysis |
3.3 Summary of Teachers and Classes
14 | |||
The number of teachers with the title of professor (including other senior professors) | 2 | Rate | 14.3% |
The number of teachers with the title of associate professor or above (including other associate senior) | 7 | Rate | 50% |
Number of teachers with master's degree or above | 14 | 100% | |
Number of teachers with doctoral degrees | 14 | Rate | 100% |
Number of young teachers aged 35 and below | 3 | Rate | 21.4% |
Number of teachers aged 36-55 | 11 | Rate | 78.6% |
Proportion of part-time and full-time teachers | 0/14 | ||
Number of core courses
| 10 | ||
Number of teachers of core courses | 14 | ||
4. Introduction of the Program Leads
Xiaohui Liu | Gender | Male | Professional and technical posts | Professor | Administrative post | Vice President | |
Courses to be taught | Advanced statistics | · Current Employer
| School of Statistics | ||||
The date, major and institution of highest degree |
2012, Central South University and Michigan State University public school joint training, mathematical statistics
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Research program and awards (Papers, projects, textbooks, MOOCs, Etc.） | Some scientific research papers: [1] Liu, X., Wang, L., Ma, X.(Xiansi Ma), Wang, J. (Jiewen Wang), Wu, L., 2021. Modeling the effect of age on quantiles of the incubation period distribution of COVID-19. BMC Public Health, 21: 1762 (2021). [2] Yang, G., Liu, X., Lian, H., 2021. Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces. Journal of Complexity. Volume 66, October 2021, 101568. [3] Liu, X., Ma, H., Jiang, J., 2020. That Prasad-Rao is Robust: Estimation of Mean Squared Prediction Error of Observed Best Predictor under Potential Model Misspecification, Statistica Sinica, DOI:10.5705/ss.202020.0325. [4] Liu, X., Lu, W., Lian, H., Liu, Y.(student), Zhong, Z.Y. 2020, Partially Linear Additive Functional Regression, Statistica Sinica, Accepted. [5] Liu, X., Li, Y., Jiang, J., Simple Measures of Uncertainty for Model Selection. Test, 2020, https://link.springer.com/article/10.1007/s11749-020-00737-9. [6] Liu, X., Liu, Y. (student), Rao, Y., Lu, F., A unified test for the intercept of a predictive regression model, Oxford Bulletin of Economics and Statistics. 2021, 83: 571-588. [7] Yang, B., Liu, X., Peng, L., Cai, Z., Unified Tests for a Dynamic Predictive Regression, Journal of Business & Economic Statistics, 2021, 39: 684-699. [8] Huang, H., Leng, X., Liu, X., Peng, L., Unified Inference for an AR Process with Possible Infinite Variance GARCH Errors, Journal of Financial Econometrics, 2020, 18, 425-470. [9] Liu, X., Mosler, K., Mozharovskyi, P., Fast computation of Tukey trimmed regions and median in dimension p>2, Journal of Computational and Graphical Statistics, 2019, 28, 682-697. [10] Liu, X., Yang, B., Cai, Z., Peng, L., A Unified Test for Predictability of Asset Returns Regardless of Properties of Predicting Variables, Journal of Econometrics, 2019, 208, 141-159. [11] Liu, X., Peng, L., Asymptotic Theory and Unified Confidence Region For An Autoregressive Model, Journal of Time Series Analysis, 2019, 40, 43-65. [12] Liu, X., Zuo, Y., Wang, Q.H., Finite sample breakdown point of Tukey’s halfspace median. Science China Mathematics, 2017, 60, 861–874. [13] Liu, X., Wang, Q., Liu Y., A consistent jackknife empirical likelihood test for distribution functions, Annals of the Institute of Statistical Mathematics, 2017, 69, 249–269. [14] Liu, X., Yijun Zuo. CompPD: A MATLAB Package for Computing Projection Depth, Journal of Statistical Software (SCI 2017affectoi 22.737), 2015, 65(2), 1-21. [15] Liu, X., Zuo, Y., Computing projection depth and its associated estimators, Statistics and Computing, 2014, 24: 51-63. | ||||||
English level（certificates of English experience of trained at home or abroad) |
English level 6, American abroad for 18 months
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The funding obtained in the recent three years |
>150 ten thousand
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The number of courses and class hours taught to the undergraduates in the past three years | 2014 to 2015, Term 2, Probabilistic Theory and Mathematical Statistics, Undergraduate Public, 64 2014 to 2015, Term 2, Non-parametric Statistics, Undergraduate Major, 48 From 2014 to 2015, semester 2, Mathematical Analysis (Next), undergraduate major, 96 2015 to 2016, Term 2, Multiplex Statistical Analysis, Undergraduate Major, 48 2016 to 2017, semester 1, Mathematical Analysis (Upper), undergraduate major, 96 From 2016 to 2017, semester 2, Mathematical Analysis (Next), undergraduate major, 96 From 2017-2018, Term 1, C Language Design (Statistics), undergraduate major, 48 From 2017 to 2018, Term 1, Probabilistic Theory and Mathematical Statistics (Top notch), Undergraduate Major, 96 2017 to 2018, Term 2, Multivariate Statistical Analysis, undergraduate major, 48 From 2018 to 2019, semester 1, C Language Design (Statistics), undergraduate major, 48 2015 to 2016, Term 2, High-dimensional Data Analysis, MA, 48 From 2015-2016, Term 2, High-dimensional Data Analysis (II), PhD, 32 2016 to 2017, Term 1, Higher Statistics, Master, 48 2016 to 2017, Term 1, Advanced Statistics (I), International Student PhD, 48 2016 to 2017, Term 2, High-dimensional Data Analysis, MA, 48 From 2016 to 2017, semester 2, Advanced Statistics (II), PhD, 48 From 2017 to 2018, semester 1, Advanced Statistics (I), International Student PhD 48 From 2017 to 2018, semester 2, Advanced Statistics (II), PhD, 48 2017 to 2018, Term 2, Mathematical Statistics, Ph. D., 48 2018 to 2019, Term 1, Advanced Statistics (I), International Student PhD, 48 2019 to 2020, Term 2, Multiplex Statistical Analysis, undergraduate major, 48 From 2019 to 2020, semester 1, C Language Design (Statistics), undergraduate major, 48 From 2020 to 2021, semester 1, C Language Design (Statistics), undergraduate major, 48 | ||||||
*Please attach with the detailed teaching plan of the program (请另附上详细的专业教学计划）.
