近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Yu, Z., Yu, K. M., Härdle, W. K, Zhang, X. L., Wang, K. and Tian, M. Z. (2022). Bayesian Spatiotemporal Modeling for Costs of Alcohol-related Hospital Discharges, Journal of the Royal Statistical Society . 1–24, https://doi.org/10.1111/rssa.12963 , (SCI).
Ma, S. P. and Tian, M. Z. (2022). Heteroscedasticity Testing for Semi-parametric Multi-index Models Based on Partial Dimension Reduction Method. Science in China Series A: Mathematics , https://doi.org/10.1360/SSM-2019-0288 , (SCI, EI, Q1), (CSSCI).
Liang, J. W., Zhang, X. L., Wang, K., Tang, M. L. and Tian, M. Z. (2022). Discovering Dynamic Models of COVID-19 Transmission. Transboundary and Emerging Diseases, https://doi.org/10.1111/tbed.14263, (SCI, Q1).
Yang, H. X., Xiong, W., Zhang, X. L., Wang, K. and Tian, M. Z. (2022). Penalized Homophily Latent Space Models for Directed Scale-free Networks. Plos One , 16(8): e0253873. https://doi.org/10.1371/journal.pone.0253873, (SCI, Q1).
Zhou, P., Yu, Z., Tian, M. Z. and Ma, J. Y. (2022). Communication-Efficient Distributed Estimation for Generalized Linear Models with a Diverging Number of Covariates. Computational Statistics and Data Analysis , 157 ,107154, https://doi.org/10.1016/j.csda.2020.107154, (SCI).
Yang, Z., Wang, C. C., Nie, Y.W., Sun, Y. H., Tian, M. Z., Ma, Y. H., Zhang, Y. X., Yuan, Y. M. and Zhang, L. P. (2022). Investigation on spatial variability and influencing factors of drinking water iodine in Xinjiang, China. Plos One , DOI: 10.1371/journal.pone.0261015 (SCI, Q1).
Zhang, Y. X., Wang, Q. and Tian, M. Z. (2022). Smoothed Quantile Regression with Factor-augmented Regularized Selection Model. Mathematics - Mathematics and Computer Science, 10, 2935, 1–30, https://doi.org/10.3390/math10162935, (SCI, Q1).
Wang, C. Y., Tian, M. Z. and Tang, M. L. (2022). Nonparametric Quantile Regression with Missing Data Using Local Estimating Equations. Journal of Nonparametric Statistics , 34 (1), (SCI).
Wang, K., Luan, Z. M., Guo, Z. H., Ran, J. J., Tian, M. Z. and Zhao, S. (2022). The association between clinical severity and incubation period of SARS-CoV-2 Delta variants: A retrospective observational study. JMIR Public Health and Surveillance , No. #40751, to appear, (SCI, IF:14.557/Q1)
Rui, R. X.,Tian, M. Z. and Xiong, W. (2022). Exploration of the Impact of Political Ideology Disparity for COVID-19 Transmission in the United States. BMC Public Health . https://doi.org/10.1186/s12889-022-14545-3, (SCI, IF:4.135/Q2)
Wang, Z. H., Bai, Y. X., Härdle, W. K, and Tian, M. Z. (2022). Smoothed Quantile Regression for Partially Functional Linear Models in High Dimensions. No. bimj.202200060.R2 , Biometrical Journal , to appear, (SCI, IF:1.715/Q2)
Liu, Y. X., Wang, Z. H., Tian, M. Z. and Yu, K. M. (2022). Estimation and variable selection for generalized functional partially varying coefficient hybrid models, No. STPA-D-22-00330R1, Statistical Papers , to appear, (SCI, IF:1.523/Q3)
Yu, Z. and Tian, M. Z. (2022). First Passage Density of Brownian Motion with Two-sided Piecewise Linear Boundaries. the Acta Mathematica Sinica, English Series, AMSE-2021-0090.R2, to appear, (SCI).
Liang, J. W. and Tian, M. Z. (2022). Sparse Regression for Low Dimensional Time Dynamic Varying Coefficient Models with Application to Air Quality Data. Journal of Applied Statistics , https://doi.org/10.1080/02664763.2022.2028131 , (SCI).
Xiong, W., Tang, M. L. and Tian, M. Z. (2022). Robust and Sparse Learning of Varying Coefficient Models with High-dimensional features. Journal of Applied statistics , No.CJAS-2021-0509.R1, to appear, (SCI).
Ma, S. P., Zhang, X. L., Wang K., Zhang, L. P., Wang, L., Zeng, T., Tang, M. L. and Tian, M. Z. (2022). Exploring the Risk Factors of COVID-19 Delta Variant in the USA Based on Bayesian Spatio-Temporal Analysis, Transboundary and Emerging Diseases, 1–14 , DOI: 10.1111/tbed.14623 , (SCI, Q1).
Nie, Y. W., Lu, Y. Q., Wang, C. C., Yang, Z., Sun, Y. H., Zhang, Y. X., Tian, M. Z., Rifhat, R. and Zhang, L. P. (2022). Effects and Interaction of Meteorological Factors on Pulmonary Tuberculosis in Urumqi, China, 2013–2019. Frontiers in Public Health , Vol. 10, https://doi.org/10.3389/fpubh.2022.951578, (SCI). (IF:6.461)
Luan, Z. M., Yu, Z. X., Zeng, T., Wang, R. and Tian, M. and Wang, K., (2022). A Study on the Factors Influencing the Transfer of COVID-19 Severe Illness Patients out of the ICU based on Generalized Linear Mixed Effect Model, Mathematical Biosciences and Engineering, 19 (10): 10602–10617, (SCI).
Liang, J. W., Härdle and Tian, M. Z. (2022). Imputed Quantile Tensor Regression for Near-sited Spatial-temporal Data. Computational Statistics and Data Analysis , No. CSDA-S-21-01780, accept, (SCI).
Yang, Z., Li, C., Wang, C. C., Nie, Y. W., Zhang, Y. X., Tian, M. Z., Zhang, L. P. (2022). Assessing the impact of meteorological conditions on outpatient visits for childhood respiratory diseases in Urumqi, China. Journal of Occupational and Environmental Medicine. 15, 921–931, (SCI).
Nie, Y. W., Wang, C. C., Yang, L., Yang, Z., Sun, Y. H., Tian, M. Z., Ma, Y. H., Zhang, Y. X., Yuan, Y. M. and Zhang, L. P. (2022). Relationship Analysis of Inorganic Arsenic Exposure and Metabolic Syndrome based on Propensity Score Matching in Xinjiang,China. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 15,921–931, (SCI).
Hu, Y. N., Wang, J. T. and Tian, M. Z. (2022). Estimation and Variable Selection for Semiparametric Spatial Quantile Regression Model. Journal of Applied Statistics and Management , 1-15, https://doi.org/10.13860/j.cnki.sltj.20210722-006 , accept, (CSSCI, CSCD).
Hou, J., Wang, Z. H., Tian, M. Z. and Dou, Y. (2022). Research on Influencing Factors of House Prices Based on Multi-Bandwidth GWTR Model. Journal of Applied Statistics and Management , 1-12, https://doi.org/10.13860/j.cnki.sltj.20210722-025 , (CSSCI, CSCD).
Hu, Y. N., Wang, J. T. and Tian, M. Z. (2022). High-dimensional Partially Linear Additive Spatial Quantile Regressive Model. Journal of Applied Statistics and Management , No.20-0D85, accept, (CSSCI, CSCD).
Zhang, Y. X. and Tian, M. Z. (2022). Joint Modeling of Count-Continuous Data and Its Application. Statistics & Decision , 38 (13), 46–51, (CSSCI).
Gülistan, G, and Tian, M.Z. (2022). Construction of Test Statistics for Odds Ratio Under Independent Inverse Sampling, Statistics and Decision , 38 (05), 5–10,(CSSCI).
Liang, Y. Y. and Tian, M. Z. (2022). Epidemic Modeling Based on Hierarchical Bayesian Spatio-temporal Poisson Model. Journal of Systems Science and Mathematical Sciences , 42 (2), 462–472, (CSCD).
Liang, Y. Y. and Tian, M. Z. (2022).Quantile Regression Estimation of Spatial Partial Linear Variable Coefficient Models. Statistics and Decision , 38 (09) 36–41, (CSSCI).
Zhang, L. P., Kurbanyaz, G, and Tian, M. Z. (2022). Comprehensive Evaluation of Competitiveness Level of Catering Industry in Xinjiang Based on PCA-TOPSIS Method, Statistics and Management , accept. 37 (1),102–108.
Zhou, X., and Tian, M.Z. (2022). Research on the Level of Regional Economic Development Based on Factor Analysis and Canonical Correlation Analysis -A Case Study of Xinjiang, Statistics and Management , 37 (1),42–47.
Yu, Z., Ju, T. T., Wang, C. J. and Tian, M. Z., (2022). Hierarchical Shrinkage Models via Variational Bayes and Its Application. Journal of Applied Statistics and Management , No.21–0129, accept, (CSSCI, CSCD).
Gülistan, K., Meng, L. J., and Tian, M.Z. (2022). Bayesian analysis of novel coronavirus pneumonia data in Urumqi, Applied Mathematics A Journal of Chinese Universities , 37(2): 226–236 (CSCD).
Liang, Y. Y., Cao, S. Z., Zhou, M. Y. and Tian, M. Z. (2022).Regional division of air quality governance based on pseudo-quantile clustering with the view of functional data. Journal of Applied Statistics and Management, , No. 21–0062, to appear, (CSSCI, CSCD).
Hu, Y. N., Yin, W. X. and Tian, M. Z. (2022). How Does the Minimum Wage Affect The Manufacturing Labor Cost? —Analysis Based on The Panel Data Quantile Treatment Effect Model. Journal of Applied Statistics and Management , No. 21–0288, to appear, (CSSCI, CSCD).
Zhou, M. Y. and Tian, M. Z. (2022). Parameter Estimation Based on Guass-Seidel Type Iterative Hierarchical Linear Model. Journal of Applied Statistics and Management , No., accept, (CSCD).
Liang, Y. Y. and Tian, M. Z. (2022). Estimation of Binary Penalty Spline Quantile Regression for Spatial Varying Coefficient Model. Journal of Applied Statistics and Management , No. 2021 –, under review, (CSSCI).
Liu, Y. X., Wang, Z. H. and Tian, M. Z. (2022). Composite Quantile Estimation for Varying Coefficient Partially Functional Linear Models. Journal of Applied Statistics and Management , No. 2020.08.16.0001, (CSSCI, CSCD).
Zuo, Q., Luo, Y. X., Tian, M. Z. and Zhao, X. Y. (2022). Unconditional quantile regression for panel data with fixed effect and its application. Journal of Applied Statistics and Management , No. 190506, (CSSCI, CSCD).
Sun, Y. H., Tian, M. Z., Nie, Y. W., Yang, Z. and Zhang, L. P. (2022). Application of Spatial Panel Data Model in the Analysis of National Tuberculous Surveillance Data from 2015 to 2019. Chinese Preventive Medicine , 23(6) 436–441(CSCD).
Zhang, L. P. and Tian, M. Z. (2022). Parameter inference of inverse Weibull distribution under Progressively Type-II Censored Data, Journal of Shandong University of Technology (Natural Science Edition), accept , (CSCD).
Meng, L. J., Dai, X. W., Chen, X. K. and Tian, M. Z. (2022). Profile Likelihood Estimation of Spatial Variable Coefficient Stratified Autocorrelation Model and Its Application. Acta Mathematicae Applicatae Sinica , ?4 (2), 1?–?4, (CSCD), under review, (CSSCI).
Zhang, L. P. and Tian, M. Z. (2022). Parameter inference of inverse Weibull distribution under generalized progressive hybrid censoring scheme, Journal of Systems Science and Mathematical Sciences , ?1(?3):?8 – 8?, (CSSCI, CSCD).
Nie, Y. W., Ma, Y. H., Wang, C. C., Tian, M. Z., Yang, Z., Sun, Y. H., Zhang, Y. X., Rifhat, R. and Zhang, L. P. (2022). Analysis of HPV Infection Characteristics and Trend of Cohort Population in Karamay City, Xinjiang, 2010-2019 based on Joinpoint and APC Model, 2013–2019. Modern Preventive Medicine , 49 (11), 1921 – 1925, (CSCD).
Kurbanyaz, G, and Tian, M.Z. (2022). Spatial Heteroscedasticity Test for Mixed Geographically Weighted Regression Models, Journal of Applied Statistics and Management , No. 21–0215, to appear, , (CSSCI, CSCD).
Haritebieke, S., Bahani, M., Nie, Y. W., Tian, M. Z., Zhang, L. P. (2022). Incidence trend and age-period-cohort analysis of pulmonary tuberculosis in China. Chinese Preventive Medicine :1-10.
Xiong, W., Wang, J., Pan, H. and Tian, M.Z. (2022). Research on Multiple Robust Imputation for High-dimensional Missing Data. Journal of Statistical and Information , 38 (2):1 –14 , (CSSCI).
Bai, Y. X., Tian, M. Z., Tang, M. L. and Lee, W. Y. (2021). Variable Selection for Ultra-high Dimensional Quantile Regression with Missing Data and Measurement Error. Statistical Methods in Medical Research , 30 (1), 129–150, (SCI, Q1).
Rui, R. X., Tian, M. Z., Tang, M. L., Ho, T. S. and Wu, C. H. (2021). Analysis of the Spread of COVID-19 in the USA with Spatio-Temporal Multivariate Time Series Model. International Journal of Environmental Research and Public Health , 18 (2), 774, (SCI, Q2).
Tian, Y. Z. Tang, M. L. Chan, W. S. and Tian, M. Z. (2021). Bayesian Bridge-Randomized Penalized Quantile Regression for Ordinal Longitudinal Data, with Application to Firm's Bond Ratings. Computational Statistics , 36 (2), 1289–1319, (SCI).
Rui, R. X. and Tian, M. Z. (2021). Joint Estimation of Case Fatality Rate of COVID-19 and Power of Quarantine Strategy Performed in Wuhan, China. Biometrical Journal , 63 (1), 46–58, (SCI, Q3).
Ma, S. P., Sun, Q. H, Wu, Y. X. and Tian, M. Z. (2021). Research on Tensor Sufficient Dimension Reduction Method and Its Application. Statistical Research , 38 (02):114-134, (CSSCI).
Yan, M. B. and Tian, M. Z. (2021). Selection of High Dimensional Variables Based on Randomized Adaptive Lasso. Statistical Research , 38 (1): 147-160, (CSSCI).
Bai, Y. X. and Tian, M. Z. (2021). Variable Selection for Sparse Nonlinear Functional Model. Statistical Research , 38 (5):109 – 120. (CSSCI).
Wang, Z. H, Liu, Y. X., Tian, M. Z. and Chen, X. K. (2021). Functional Partially Varying Coefficient Models for Zero-Inflated Count Data. Statistical Research , 38 (7), 127 – 139, (CSSCI).
Tian, Y. Z., Wang, L. Y. Tang, M. L., and Tian, M. Z. (2021), Weighted Composite Quantile Regression for Longitudinal Mixed Effects Models with Application to AIDS Studies. Communications in Statistics - Simulation and Computation , 50 (6), 1837–1853, (SCI, EI)
Dai, X. W., Li, E. Q. and Tian, M.Z. (2021). Quantile Regression for Varying Coefficient Spatial Error Models, Communications in Statistics – Theory and Methods , 50 (10), 2382–2397, (SCI, EI).
Liu, Y. X., Rui, R. X. and Tian, M. Z. (2021). A Novel Profile Composite Quantile Regression Estimation for the Partial Linear Variable-Coefficient Model. Acta Mathematicae Applicatae Sinica , 44 (2), 159–174, (CSCD).
Cao, R. and Tian, M. Z. (2021). Study on Executive Compensation of Private Listed Companies Based on Unconditional Quantile Regression, Systems Engineering-Theory & Practice , 41(1): 24–33, (EI, CSCD).
Kurbanyaz, G, Meng, L. J., and Tian, M.Z. (2021). Confidence Interval Construction for Conditional Odds Ratio in Matched-Pair Design, Journal of Systems Science and Mathematical Sciences , 41(03):824 – 836. (SCD).
Zhang, Y. X., Meng, S. W., and Tian, M. Z. (2021). A Semi-parametric Bayesian Hierarchical Quantile Regression Model and Its Application in Analysis of Insurance Company Costs. Journal of Applied Statistics and Management , 40 (3):381 – 394, (CSSCI, CSCD).
Hou, J. and Tian, M. Z. (2021). Parameter Estimation of Mixed-GTWR Based on Variable Selection. Journal of Mathematics in Practice and Theory , 51(7), 110–118, (CSCD).
Liu, Y., An, B. W. and Tian, M. Z. (2021). Likelihood Test and Model Comparison of Zero-and-one-inflated Poisson Model. Statistics & Decision , 37 (13), 20–24, (CSSCI, CSCD).
Chu, Z. J., Tai, L. N., Xiong, W., Guo, X. and Tian, M. Z. (2021). The Horvitz-Thompson Weighting Method for Quantile Regression Estimation in the Presence of Missing Covariates. Journal of Mathematical Research with Applications , 41(3):303-322, (CSCD).
Zhou, M. Y. and Tian, M. Z. (2021). Statistical Inference of Hierarchical Linear Regression Model Based on Nested Structure. Statistics and Application , 10 (1), 173–182, (CSCD).
Tian, Y., Ma, S. P., Rui, R. X., Yu, Z. and Tian, M. Z. (2021). The Analysis of Impact of Brexit on the Post-Brexit EU Using Intervented Multivariate Time Series, Acta Mathematicae Applicatae Sinica (English Series), 37 (3), 441–458, (SCI).
Zhang, Y. X. and Tian, M. Z. (2021). Research and Application of Partial Linear Single Index Composite Quantile Regression Based on Bayesian. J ournal of Systems Science and Mathematical Sciences , 41(5):1381–1399., (CSSCI).
Liu, Y. and Tian, M. Z. (2021). Analysis of The Temporal and Spatial Differences of the Expenditure of Basic Pension Fund for Urban Workers–Based on GTWR Model and Panel Quantile Regression Model. Journal of Shanxi Normal University (Natural Science Edition), 35 (1):22–28., (CSCD).
Liu, Y. X., Wang, Z. H., Rui, R. X. and Tian, M. Z. (2021). Estimation for Generalized Functional Partially Varying Coefficient Hybrid Models. Journal of Systems Science and Mathematical Sciences , 41 (6), 1742-1760, (CSCD).
Rui, R. X., Liu, Y. X., Wang, Y. H. and Tian, M. Z. (2021). High-dimensional Conditional Mean Hypothesis Test and Its Application in the Diagnosis of Parkinson's Disease. Journal of Applied Statistics and Management, 40 (4), 571–584, (CSSCI, CSCD).
Cao, S. Z. and Tian, M. Z. (2021).Bayesian estimation of exponential distribution parameters based on uninformed priori under Stein loss function. Value Engineering , 33, 164 –168, (CSSCI).
Tian, Y. Z., Tang, M. L., and Tian, M. Z. (2021), Bayesian Joint Inference for Multivariate Quantile Regression Model With L_1/2 Penalty. Computational Statistics , 36(6), 2967–2994 , (SCI, EI).
Tian, Y. Z. and Tian, M. Z. (2021). Bayesian LASSO-Regularized Weighted Composite Quantile Regression with Its Application . Chinese Journal of Applied Probability and Statistics. Vol. 37 (4): 390–404.
Li, E. Q., Tian, M. Z. and Tang, M. L. (2020). Variable Selection in Competing Risks Models Based on Quantile Regression. Statistics in Medicine , 38 (23): 4670–4685, (SCI).
Qian, M. L., Tao, L., Li, E. Q. and Tian, M. Z. (2020). Hypothesis Testing for Identity of High-dimensional Covariance Matrices. Statistics and Probability Letters , 161,1–12, (SCI).
Bai, Y. X., Qian, M. L. and Tian, M. Z. (2020). Joint Mean-covariance Random Effect Model for Longitudinal Data. Biometrical Journal, 62, 7-23, (SCI).
Wu, Y. K., Hu, Y. N., Zhou, J. and Tian, M. Z. (2020). Simultaneous Estimation of Multiple Conditional Regression Quantiles, Acta Mathematicae Applicatae Sinica (English Series), 36 (2), 448–457, (SCI)
Tian, Y. Z., Wang, L. Y., Tang, M. L. and Tian, M. Z. (2020), Likelihood-based Quantile Mixed Effects Models for Longitudinal Data with Multiple Features via MCEM Algorithm, Communications in Statistics - Simulation and Computation , https://doi.org/10.1080/03610918.2018.1484477 , 49 (2), 317–334, (SCI, EI).
Xia, L. L. and Tian, M. Z. (2020). Penalty likelihood estimation for a class of constrained generalized additive model with zero-inflated count data. Statistics and Decision , 36 (2), 16 – 20, (CSSCI).
Dai, X. W., Yan, Z., Tian, M. Z. and Tang, M. L. (2020). Quantile Regression for General Spatial Panel Data Models with Fixed Effects. Journal of Applied Statistics , 47 (1), 45–60, (SCI).
Dai, X. W., Jin, L. B., Tian, Y. Z., Tian, M. Z. and Tang, M. L. (2020). Quantile Regression for Panel Data Models with Fixed Effects under Random Censoring. Communications in Statistics-Theory and Methods , 49 (18), 4430–4445, (SCI, EI).
Wu, Y. K., Tian, M. Z. and Tang, M. L. (2020). General Composite Quantile Regression: Theory and Methods. Communications in Statistics – Theory and Methods , 49 (9), 2217–2236, (SCI, EI).
Yang, L., Tao, L. and Tian, M. Z. (2020). Qunatile Regression Based on Multi-period DID Method and Its Applications. Statistics & Decision , 5, 25–28, (CSSCI).
Tai, L. N., Qian, M. L. and Tian, M. Z. (2020). Sample Selection Parametric Quantile Regression and Its Application in Distribution Decomposition of Wage, Statistical Research , 37(1), 62–73 (CSSCI).
Tai, L. N., Tao, L. and Tian, M. Z. (2020). Innovation Ideas of Government Statistics Work Based on Big Data Supply Chain. Statistics & Decision , 12, 156 –159, (CSSCI).
Liang, J. W. and Tian, M. Z. (2020). Outlier Diagnosis and Estimation via Volume Sampling in Big Data. Journal of Applied Statistics and Management , 39 (2), 223–235, (CSCD, CSSCI).
Tian, Y. Z., Wang, L. Y., Tang, M. L., Zang, Y. C. and Tian, M. Z. (2020), Likelihood-based Quantitle Autoregressive Distributed Lag Models and Its Applications. Journal of Applied Statistics , 47 (1), 117–131, (SCI).
Liang, J. W. and Tian, M. Z. (2020). Sufficient Dimension Reduction Method based on Maximin Effect for Heterogeneous Data. Journal of Systems Science and Mathematical Sciences , 40 (5), 902–916, (CSCD).
Tao, L., Tai, L. N. and Tian, M. Z. (2020). Quantile Regression for Panel Data with Fixed Effects and Comparative Research. Statistics and Decision , 17, 9–13, (CSSCI).
Mu, J. and Tian, M. Z. (2020). Bayesian Hierarchical Regression Model with Multivariate Laplace Distribution and Its Application. Journal of Applied Statistics and Management , 39 (3) : 438–448, (CSSCI, CSCD).
Yan, M. B. and Tian, M. Z. (2020). Variable Significance Test after Selection under Various Distributions and Its Application to CEPS Data. Journal of Systems Science and Mathematical Science , 40 (1): 141 – 155, (CSCD).
Wang, Z. H., Tian, M. Z. and Hou, Z. M. (2020). Measuring Quantile Effects Based on Partial Least Squares Path Model, Journal of Systems Science and Mathematical Science , 40 (4): 738–750, (CSCD).
Bai, Y. X., Yan, M. B., Tian, M. Z. and Zhai, H. W. (2020). Evaluating the Quality of Multidimensional Statistical Data Based on the Bootstrap Method. Statistics & Decision ,11, 5–9, (CSSCI).
Zhang, C. L. and Tian, M. Z. (2020). Construction of Bootstrap Confidence Intervals Based on Bayes. Statistics and Decision , 1, 32-35, (CSSCI).
Luo, Y. X., Zhang, M. and Tian, M. Z. (2020). The Research and Application of Additive Quantile Regression Models for Panel Data. Statistical Research , , 37 (2), 105–118, (CSSCI).
Hou, Z. M., Tian, M. Z., Wang, Z. H. and Dou, Y. (2020). Study on The Impact of Technological Innovation on the Urbanization and Urban-rural Income Inequality—An Empirical Analysis Based on Western National Agglomeration Area. Journal of Mathematics in Practice and Theory , 50 (2),53–64, (CSSCI, CSCD).
Guo, J. X., Xu, H., Zhu, W. Q. and Tian, M. Z. (2020). Research on Tensor Sufficient Dimension Reduction Method and Its Application. Statistical Research , 37(10),104 – 114, (CSSCI).
Liu, Y. and Tian, M. Z. (2020). Pricing of "Take Photos and Make Money" APP Task Based on Logistic Regression Model, China Price , 8, 98 –101, (CSSCI)
Hu, Y. N., Wang, J. T. and Tian, M. Z. (2020). Foreign Trade, Technological Progress and Economic Growth: An Empirical Study Based on the Spatial Panel Simultaneous Equations. Journal of Applied Statistics and Management , 39(5), 771–787, (CSSCI, CSCD).
Tian, M. Z. and Mei, B. (2019). Tilting Quantile Regression Modeling of Functional Data and Its Applications. Statistical Research , 36 (8), 114 –128, (CSSCI).
Tao, L., Zhang, Y. J., and Tian, M. Z. (2019). Quantile Regression for Dynamic Panel Data Using Hausman-Taylor Instrumental Variables, Computational Economics , 53:1033–1069 (SSCI, SCI).
Dai, X. W., Jin, L. B., Tian, M. Z. and Shi, L. (2019). Bayesian Local Influence for Spatial Autoregressive Models with Heteroscedasticity. Statistical Papers , 60:1423–1446, (SCI).
Tian, Y. Z., Shen, S. L., Lu, G., Tang, M. L. and Tian, M. Z. (2019), Bayesian LASSO-Relarized Quantile Regression for Linear Regression Models with Autoregressive Errors, Communications in Statistics-Simulation and Computation , 48 (3): 777 –796, (SCI, EI).
Zhu, F. Y., Yue, T. Z., Wang, K., Liu, X. and Tian, M. Z. (2019). Application of Text Clustering Technique on Conan Doyle's Works. Journal of Applied Statistics and Management, 38 (5): 882 –898, (CSSCI, CSCD).
Hu, Y. N., Wang, C. Y. and Tian, M. Z. (2019). Variable Selection for Joint Modeling of Longitudinal Data and Survival Time. Journal of Applied Statistics and Management , 38(3), 483–494, (CSSCI, CSCD).
Hu, Y. N. and Tian, M. Z. (2019). Joint Modeling and Variable Selection for Zero-Inflated Count Data, Statistical Research , 36 (1): 104 –114, (CSSCI).
Wang, Y. R., Bai, Y. X. and Tian, M. Z. (2019). Tuning Parameter Selection Using ERIC Method in The Generalized Linear Model. Statistics & Information Forum , 34 (2), 19 – 27, (CSSCI).
Xia, L. L. and Tian, M. Z. (2019). Nonparametric Statistical Analysis of Zero-and-One Inflated Poisson Regression Models. Journal of Applied Statistics and Management , 38 (2), 235 – 246, (CSSCI, CSCD).
Xiong, W., and Tian, M.Z. (2019). Optimal Quantile and Its Applications in Reality. Applied Mathematics A Journal of Chinese Universities , 34 (1): 25– 43, (CSCD).
Xia, L. L., Tian, M. Z. and Zhu, Y. (2019). Construction of Confidence Intervals for the Whole Percentage Based on Saddle Point Approximations under Binomial Distribution. Statistics & Information Forum , 34(9): 3– 9, (CSSCI).
Cao, R. and Tian, M. Z. (2019). Mode Regression in the Secondary Analysis of Case-Control Data, Journal of Systems Science and Mathematical Sciences , 39(6): 954 – 976, (CSCD).
Yan, M. B. and Tian, M. Z. (2019). An Elastic Net Method Based on Variable Selection Events. Journal of Mathematics in Practice and Theory , 49 (12): 215– 226, (CSCD).
Mei, Y., Yan, M. B. and Tian, M. Z. (2019). The model of Customer Satisfaction and Its Application in the Study of the Relationship between College Student and Parentage, Journal of Mathematics in Practice and Theory , 49 (11): 78– 90, (CSSCI).
Tian, Y. Z., Wang, L.Y., Wu, X. Q. and Tian, M. Z. (2019). Gibbs Sampler Algorithm of Bayesian Weighted Composite Quantitle Regression. Chinese Journal of Applied Probability and Statistics. 35 (2), 178–192, (CSCD).
Wang, W. X. and Tian, M. Z. (2019). Confidence interval construction of correlation difference under saddle point approximation, Applied Mathematics A Journal of Chinese Universities , 34 (3): 264–272, (CSCD).
Tian, Y. Z., Tang, M. L., Wang, L. Y. and Tian, M. Z. (2019), Bayesian Bridge-randomized Penalized Quantitle Regression Estimation for Linear Regression Model with AP(q) Perturbation. Journal of Statistical Computation and Simulation , 89 (15):2951–2979, (SCI).
Xiong, W., and Tian, M. Z. (2019). Weighted Quantile Regression Theory and Its Application. Journal of Data Science ,17(1). P. 145 - 160, (EI).
Zhang, R. X. and Tian, M. Z. (2019). Multivariate Outlier Detection Based on Tilting Minimum Covariance Determinant Method, Journal of Applied Statistics and Management , 38 (4): 619–627, (CSCD, CSSCI).
Tian, M. Z. (2018). Exact Exponential Risk Bounds for Conditional Quantile Regression. China Sciencepaper, 13(5), 598–610. (CSCD, CA, AJ, CSA, etc.).
Li, E. Q., Mei, B. and Tian, M. Z. (2018). Feature Screening Based on Ultrahigh Dimensional Competing Risks Models, SCIENTIA SINICA Mathematica ,Vol. 48(8): 1061–1086.
Tian, Y. Z., Tang, M. L., Zang, Y. C. and Tian, M. Z. (2018), Quantile regression for linear models with autoregressive errors using EM algorithm, Computational Statistics. 33:1605–1625, (SCI).
Tian, Y. Z.,Yang, A. J., Li, E. Q. and Tian, M. Z. (2018). Parameters Estimation for Mixed Generalized Exponential Inverted Distributions with Type-II Progressive Hybrid Censoring. Hacettepe University Bulletin of Natural Sciences and Engineering Series B: Mathematics and Statistics , 47 (4), 1023 –1039, (SCI).
Jiang, C. B., Wang, Z. and Tian, M. Z. (2018). Theory and Application of One-Side Kernel Estimation in Quantitative Financial Risk Management, Statistics Review , 10,100–121.
Bai, Y. X. and Tian, M. Z. (2018). Functional Analysis of Variance Based on Multiple Comparison Test, Statistics & Decision , 10, 62–56, (CSSCI).
Wang, C. Y. and Tian, M Z. (2018). The Iterative Generalized Least Squares Estimation for Multilevel Mixed Effects Model. Advances in Mathematics , 47(4),613–623.. (CSCD, CBST).
Li, E. Q. and Tian, M. Z. (2018). Construction of Fixed-width Confidence Intervals for Zero-Inflated Poisson Distributions Parameters. Chinese Journal of Applied Probability and Statistics , 34 (1): 49–74, (CSCD).
Mei, B. and Tian, M. Z. (2018). Analysis of Influencing Factors on PM2.5 in Beijing Based on Spatio-Temporal Model, Journal of Applied Statistics and Management , 37 (4): 571–586, (CSSCI, CSCD).
Wang, W. X. and Tian, M. Z. (2018). Evaluation of Economic Development in the Northern Slope Economic Belt of Tianshan Mountains Based on Principal Component Analysis, Journal of Mathematics in Practice and Theory , 48 (17), 71–78, (CSSCI).
Li, E. Q., Wu, Y. K. and Tian, M. Z. (2018), Joint Modeling for Generalized Hyperbolic Distributions, Journal of Mathematics in Practice and Theory , 48 (13), 152–162, (CSSCI).
Tai, L. N., Wang, C. Y. and Tian, M. Z. (2018). Inverse Probability Multiple Weighted Quantile Regression Estimation and Its Application with Missing Data. Statistical Research , 35 (9), 115-128, (CSSCI).
Su, P. and Tian, M. Z. (2018). Heteroscedasticity Detection and Estimation with Minimizing The Composite Quantile Loss, Journal of Systems Science and Mathematical Sciences , 38(9):1055–1066, (CSCD).
Tian, Y. Z., Tang, M. L. and Tian, M. Z. (2018). Joint Modeling for Mixed-effects Quantile Regression of Longitudinal Data with Detection Limits and Covariates Measured with Error, with Application to AIDS Studies. Computational Statistics, 33:1563–1587, (SCI).
Song, J., Li, E. Q. and Tian, M. Z. (2018). Analysis of Core Inflation Rate in China Based on SVAR Models. Statistics and Application , 2018, 7(6), 636–648, (RCCSE).
Li, E. Q., Qian, M. L. and Tian, M. Z. (2018). Fixed-Length Confidence Intervals for the Poisson Mean via Sequential Methods and Two-stage Methods. Journal of Systems Science and Mathematical Sciences , 38 (11), 1328–1346, (CSCD).
京公网安备 11010802027423号