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MathSciNet数据库统计学最新论文题录(July 2020)
诸平
自2020年7月份以来,MathSciNet数据库共收录了统计学(Statistics,MSC2020 62-XX)研究最新论文571条,现将题录摘引于下,仅供参考。注意MSC2020版将MSC2010版数值分析中的65C50——概率中其他计算问题(Other computational problems in probability)相关研究成果划归于统计学之下(62-XX)。
2020年1月7日美国数学会就已经发布信息,美国《数学评论》(Mathematical Reviews)编辑委员会和德国《数学文摘》(zbMATH)编辑委员会已经完成了2020版的《数学主题分类表》(MSC2020)的编辑和修订工作。
2020年2月18日(Update Date: 18 February 2020)美国数学会在MathSciNet数据库网站上公布了2010版的《数学主题分类表》(MSC2010)的分类代码(MSC2010 Classification Codes)与2020版的《数学主题分类表》(MSC2020)的分类代码(MSC2020 Classification Codes)的转化表。
MSC2010 Classification Codes --> MSC2020 Classification Codes
关于《数学主题分类表:2020版》(MSC2020)新分类的官方声明,包括关于主要变化的信息,已经在2020年3月份的《欧洲数学学会通讯》( European Mathematical Society Newsletter)和《美国数学学会通告》(Notices of the American Mathematical Society)上发表。《数学主题分类表:2020版》(MSC2020)的PDF档案可在此下载(here)。
2020年7月份新收录的统计学论文题录571条,是6月份收录量(110条)的5倍多。现摘引于下,仅供参考。
MR4114950 Jafari, A. A.; Bafekri, S. Inferences on the performance index of Weibull distribution based on k-record values.J. Comput. Appl. Math. 382 (2021), 113060, 17 pp.
MR4111758 Nadarajah, K.; Martin, Gael M.; Poskitt, D. S. Optimal bias correction of the log-periodogram estimator of the fractional parameter: a jackknife approach. J. Statist. Plann. Inference 211 (2021), 41–79.
MR4111757 Domagni, Kouakou Francois; Hedayat, A. S.; Sinha, Bikas Kumar On the nature of saturated 2k-factorial designs for unbiased estimation of non-negligible parameters. J. Statist. Plann. Inference 211 (2021), 33–40.
MR4108429 Ito, Tsubasa; Kubokawa, Tatsuya Corrected empirical Bayes confidence region in a multivariate Fay-Herriot model. J. Statist. Plann. Inference 211 (2021), 12–32.
MR4108428 Benke, János Marcell; Pap, Gyula Nearly unstable family of stochastic processes given by stochastic differential equations with time delay. J. Statist. Plann. Inference 211 (2021), 1–11.
MR4108343 Thomas, Abin; Vishwakarma, Gajendra K.; Bhattacharjee, Atanu Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers. J. Comput. Appl. Math. 381 (2021), 113016, 11 pp.
MR4105674 Zhao, Yan-Yong; Zhao, Jian-Qiang; Qian, Su-An A new test for heteroscedasticity in single-index models. J. Comput. Appl. Math. 381 (2021), 112993, 16 pp.
MR4102184 He, Xinrui; Bartroff, Jay Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals. J. Statist. Plann. Inference 210 (2021), 87–99.
MR4102183 McCloud, Nadine; Parmeter, Christopher F. Calculating degrees of freedom in multivariate local polynomial regression. J. Statist. Plann. Inference 210 (2021), 141–160.
MR4102182 Díaz-García, José A.; Caro-Lopera, Francisco J. Matrix variate Birnbaum-Saunders distribution under elliptical models. J. Statist. Plann. Inference 210 (2021), 100–113.
MR4101489 Matsuda, Takeru; Strawderman, William E. Predictive density estimation under the Wasserstein loss. J. Statist. Plann. Inference 210 (2021), 53–63.
MR4101488 Shi, Gongming; Du, Jiang; Sun, Zhihua; Zhang, Zhongzhan Checking the adequacy of functional linear quantile regression model. J. Statist. Plann. Inference 210 (2021), 64–75.
MR4101487 Neumann, André; Bodnar, Taras; Dickhaus, Thorsten Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach. J. Statist. Plann. Inference 210 (2021), 76–86.
MR4101486 Arias-Castro, Ery; Chen, Shiyun; Ying, Andrew A scan procedure for multiple testing: beyond threshold-type procedures. J. Statist. Plann. Inference 210 (2021), 42–52.
MR4101485 Clairon, Quentin A regularization method for the parameter estimation problem in ordinary differential equations via discrete optimal control theory. J. Statist. Plann. Inference 210 (2021), 1–19.
MR4101484 Xu, Xiaojian; Sinha, Sanjoy K. Robust designs for generalized linear mixed models with possible model misspecification. J. Statist. Plann. Inference 210 (2021), 20–41.
MR4114969 Heinen, Andréas; Valdesogo, Alfonso Spearman rank correlation of the bivariate Student t and scale mixtures of normal distributions. J. Multivariate Anal. 179 (2020), 104650, 11 pp.
MR4114968 Vexler, Albert Univariate likelihood projections and characterizations of the multivariate normal distribution. J. Multivariate Anal. 179 (2020), 104643, 9 pp.
MR4114967 Takayama, Nobuki; Jiu, Lin; Kuriki, Satoshi; Zhang, Yi Computation of the expected Euler characteristic for the largest eigenvalue of a real non-central Wishart matrix. J. Multivariate Anal. 179 (2020), 104642, 18 pp.
MR4113810 Zorzi, Mattia Autoregressive identification of Kronecker graphical models. Automatica J. IFAC 119 (2020), 109053, 13 pp.
MR4113783 Li, Lei; Li, Yingzhou; Liu, Jian-Guo; Liu, Zibu; Lu, Jianfeng A stochastic version of Stein variational gradient descent for efficient sampling. Commun. Appl. Math. Comput. Sci. 15 (2020), no. 1, 37–63.
MR4113273 Bücher, Axel; Dette, Holger; Heinrichs, Florian Detecting deviations from second-order stationarity in locally stationary functional time series. Ann. Inst. Statist. Math. 72 (2020), no. 4, 1055–1094.
MR4113272 Comte, F.; Genon-Catalot, V. Regression function estimation as a partly inverse problem. Ann. Inst. Statist. Math. 72 (2020), no. 4, 1023–1054.
MR4113271 Dobler, Dennis; Friedrich, Sarah; Pauly, Markus Nonparametric MANOVA in meaningful effects. Ann. Inst. Statist. Math. 72 (2020), no. 4, 997–1022.
MR4113270 Eriksson, Frank; Martinussen, Torben; Nielsen, Søren Feodor Large sample results for frequentist multiple imputation for Cox regression with missing covariate data. Ann. Inst. Statist. Math. 72 (2020), no. 4, 969–996.
MR4113269 Li, Chenlong; Song, Zhanjie; Wang, Wenjun Space-time inhomogeneous background intensity estimators for semi-parametric space-time self-exciting point process models. Ann. Inst. Statist. Math. 72 (2020), no. 4, 945–967.
MR4113268 Gardes, Laurent; Guillou, Armelle; Roman, Claire Estimation of extreme conditional quantiles under a general tail-first-order condition. Ann. Inst. Statist. Math. 72 (2020), no. 4, 915–943.
MR4112726 Li, Sai Debiasing the debiased Lasso with bootstrap. Electron. J. Stat. 14 (2020), no. 1, 2298–2337.
MR4112659 khames, S. K.; Mokhlis, N. A. Bivariate general exponential models with stress-strength reliability application.J. Egyptian Math. Soc. 28 (2020), no. 1, Paper No. 9, 15 pp.
MR4111685 Feng, Yunlong; Wu, Qiang Learning under (1+ϵ)-moment conditions. Appl. Comput. Harmon. Anal. 49 (2020), no. 2, 495–520.
MR4111683 Anaya, Maria; Anipchenko-Ulaj, Olga; Ashfaq, Aisha; Chiu, Joyce; Kaiser, Mahedi; Ohsawa, Max Shoji; Owen, Megan; Pavlechko, Ella; St. John, Katherine; Suleria, Shivam; Thompson, Keith; Yap, Corrine Properties for the Fréchet mean in Billera-Holmes-Vogtmann treespace. Adv. in Appl. Math. 120 (2020), 102072, 29 pp.
MR4111679 Feldman, Dan; Schmidt, Melanie; Sohler, Christian Turning big data into tiny data: constant-size coresets for k-means, PCA, and projective clustering. SIAM J. Comput. 49 (2020), no. 3, 601–657.
MR4110678 Zhang, Min-Jue; Yue, Rong-Xian Locally D-optimal designs for heteroscedastic polynomial measurement error models. Metrika 83 (2020), no. 6, 643–656.
MR4110663 Boutahar, Mohamed; Kchaou, Imen; Reboul, Laurence Estimation of Pickands dependence function of bivariate extremes under mixing conditions. Lith. Math. J. 60 (2020), no. 2, 129–146.
MR4110414 Broc, Camilo; Calvo, Borja; Liquet, Benoit Penalized partial least square applied to structured data. Arab. J. Math. (Springer) 9 (2020), no. 2, 329–344.
MR4110412 Bouanani, Oussama; Rahmani, Saadia; Ait-Hennani, Larbi Local linear conditional cumulative distribution function with mixing data. Arab. J. Math. (Springer) 9 (2020), no. 2, 289–307.
MR4110275 Maistre, Samuel; Patilea, Valentin Testing for the significance of functional covariates. J. Multivariate Anal.179 (2020), 104648, 21 pp.
MR4110273 Zhou, Jie; Song, Xinyuan; Sun, Liuquan Continuous time hidden Markov model for longitudinal data. J. Multivariate Anal. 179 (2020), 104646,16 pp.
MR4110272 Zheng, Zemin; Shi, Haiyu; Li, Yang; Yuan, Hui Uniform joint screening for ultra-high dimensional graphical models. J. Multivariate Anal. 179 (2020), 104645, 13 pp.
MR4110271 Wu, Jie; Zheng, Zemin; Li, Yang; Zhang, Yi Scalable interpretable learning for multi-response error-in-variables regression. J. Multivariate Anal. 179 (2020), 104644, 14 pp.
MR4109793 Osatohanmwen, Patrick; Oyegue, Francis O.; Ogbonmwan, Sunday M. The T−R{Y} power series family of probability distributions. J. Egyptian Math. Soc. 28 (2020), no. 1, Paper No. 29, 18 pp.
MR4109538 Blanchard, Gilles; Mücke, Nicole Kernel regression, minimax rates and effective dimensionality: beyond the regular case. Anal. Appl. (Singap.) 18 (2020), no. 4, 683–696.
MR4109082 Lehtomaa, Jaakko; Resnick, Sidney I. Asymptotic independence and support detection techniques for heavy-tailed multivariate data. Insurance Math. Econom. 93 (2020), 262–277.
MR4109011 Herman, Elizabeth; Alexanderian, Alen; Saibaba, Arvind K. Randomization and reweighted ℓ1-minimization for A-optimal design of linear inverse problems. SIAM J. Sci. Comput. 42 (2020), no. 3, A1714–A1740.
MR4109006 Jiang, Wenhua On general maximum likelihood empirical Bayes estimation of heteroscedastic IID normal means. Electron. J. Stat. 14 (2020), no. 1, 2272–2297.
MR4108976 Golowich, Noah; Rakhlin, Alexander; Shamir, Ohad Size-independent sample complexity of neural networks.Inf. Inference 9 (2020), no. 2, 473–504.
MR4108974 Juditsky, Anatoli; Nemirovski, Arkadi Near-optimal recovery of linear and N-convex functions on unions of convex sets. Inf. Inference 9 (2020), no. 2, 423–453.
MR4108971 Li, Yuanxin; Chi, Yuejie; Zhang, Huishuai; Liang, Yingbin Non-convex low-rank matrix recovery with arbitrary outliers via median-truncated gradient descent. Inf. Inference 9 (2020), no. 2, 289–325.
MR4108970 Chen, Jiajie; Hou, Anthony; Hou, Thomas Y. A prototype knockoff filter for group selection with FDR control.Inf. Inference 9 (2020), no. 2, 271–288.
MR4108955 Schippers, Michael; Schurz, Gerhard Genuine confirmation and tacking by conjunction. British J. Philos. Sci. 71 (2020), no. 1, 321–352.
MR4108949 Raidl, Eric Open-minded orthodox Bayesianism by epsilon-conditionalization. British J. Philos. Sci. 71 (2020), no. 1, 139–176.
MR4108943 Kong, Xinbing A random-perturbation-based rank estimator of the number of factors. Biometrika 107 (2020), no. 2, 505–511.
MR4108942 Green, A. K B.; McCormick, T. H.; Raftery, A. E. Consistency for the tree bootstrap in respondent-driven sampling. Biometrika 107 (2020), no. 2, 497–504.
MR4108941 Fong, E.; Holmes, C. C. On the marginal likelihood and cross-validation. Biometrika 107 (2020), no. 2, 489–496.
MR4108940 Liu, X.; Zheng, S.; Feng, X. Estimation of error variance via ridge regression. Biometrika 107 (2020), no. 2, 481–488.
MR4108938 Shin, Sunyoung; Liu, Yufeng; Cole, Stephen R.; Fine, Jason P. Ensemble estimation and variable selection with semiparametric regression models. Biometrika 107 (2020), no. 2, 433–448.
MR4108937 Qiao, Xinghao; Qian, Cheng; James, Gareth M.; Guo, Shaojun Doubly functional graphical models in high dimensions. Biometrika 107 (2020), no. 2, 415–431.
MR4108936 Vihola, Matti; Franks, Jordan On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction. Biometrika 107 (2020), no. 2, 381–395.
MR4108935 Li, Housen; Munk, Axel; Sieling, Hannes; Walther, Guenther The essential histogram. Biometrika 107 (2020), no. 2, 347–364.
MR4108934 Lee, C. E.; Zhang, X.; Shao, X. Testing conditional mean independence for functional data. Biometrika 107 (2020), no. 2, 331–346.
MR4108933 Cannings, Timothy I.; Fan, Yingying; Samworth, Richard J. Classification with imperfect training labels.Biometrika 107 (2020), no. 2, 311–330.
MR4108932 Madrid Padilla, Oscar Hernan; Sharpnack, James; Chen, Yanzhen; Witten, Daniela M. Adaptive nonparametric regression with the K-nearest neighbour fused lasso. Biometrika 107 (2020), no. 2, 293–310.
MR4108931 Li, Tianxi; Levina, Elizaveta; Zhu, Ji Network cross-validation by edge sampling. Biometrika 107 (2020), no. 2, 257–276.
MR4108928 Casarin, Roberto; Iacopini, Matteo; Molina, German; ter Horst, Enrique; Espinasa, Ramon; Sucre, Carlos; Rigobon, Roberto Multilayer network analysis of oil linkages. Econom. J. 23 (2020), no. 2, 269–296.
MR4108927 Liu, Ruixuan; Yu, Zhengfei Accelerated failure time models with log-concave errors. Econom. J. 23 (2020), no. 2, 251–268.
MR4108926 Kim, Dongwoo Partial identification in nonseparable count data instrumental variable models. Econom. J. 23 (2020), no. 2, 232–250.
MR4108925 He, Yang; Bartalotti, Otávio Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals. Econom. J. 23 (2020), no. 2, 211–231.
MR4108924 Calonico, Sebastian; Cattaneo, Matias D.; Farrell, Max H. Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs. Econom. J. 23 (2020), no. 2, 192–210.
MR4108923 Chang, Neng-Chieh Double/debiased machine learning for difference-in-differences models. Econom. J. 23 (2020), no. 2, 177–191.
MR4108639 Michailidis, Georgios E.; Spyroglou, Ioannis I.; Zaridis, Dimitrios; Rigas, Alexandros G. A method of estimating the partial power spectrum of a bivariate point process and an application to a neurophysiological data set. J. Stat. Theory Pract. 14 (2020), no. 3, Paper No. 36, 14 pp.
MR4108638 Grover, Lovleen Kumar; Kaur, Amanpreet An improved regression type estimator of population mean with two auxiliary variables in stratified double sampling. J. Stat. Theory Pract. 14 (2020), no. 3, Paper No. 35, 16 pp.
MR4108637 Lee, Bu Hyoung; Park, Junyong A spectral measure for the information loss of temporal aggregation. J. Stat. Theory Pract. 14 (2020), no. 3, Paper No. 34, 23 pp.
MR4108485 Barigozzi, Matteo; Trapani, Lorenzo Sequential testing for structural stability in approximate factor models.Stochastic Process. Appl. 130 (2020), no. 8, 5149–5187.
MR4108468 Figueroa-López, José E.; Li, Cheng Optimal kernel estimation of spot volatility of stochastic differential equations. Stochastic Process. Appl. 130 (2020), no. 8, 4693–4720.
MR4108466 Schweer, Sebastian; Wichelhaus, Cornelia Nonparametric estimation of the service time distribution in discrete-time queueing networks. Stochastic Process. Appl. 130 (2020), no. 8, 4643–4666.
MR4108427 Luo, Shan; Chen, Zehua A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification. J. Multivariate Anal. 179 (2020), 104641, 20 pp.
MR4108426 Horváth, Lajos; Kokoszka, Piotr; Wang, Shixuan Testing normality of data on a multivariate grid. J. Multivariate Anal. 179 (2020), 104640, 14 pp.
MR4108425 Wang, Sheng; Zimmerman, Dale L.; Breheny, Patrick Sparsity-regularized skewness estimation for the multivariate skew normal and multivariate skew t distributions. J. Multivariate Anal. 179 (2020), 104639, 16 pp.
MR4108149 Ayele, Amare Wubishet; Gabreyohannes, Emmanuel; Edmealem, Hayimro Generalized autoregressive conditional heteroskedastic model to examine silver price volatility and its macroeconomic determinant in Ethiopia market. J. Probab. Stat. 2020, Art. ID 5095181, 10 pp.
MR4108117 Anastasiou, Andreas; Reinert, Gesine Bounds for the asymptotic distribution of the likelihood ratio. Ann. Appl. Probab. 30 (2020), no. 2, 608–643.
MR4108114 Holden, Nina; Lyons, Russell Lower bounds for trace reconstruction. Ann. Appl. Probab. 30 (2020), no. 2, 503–525.
MR4107959 Wu, Ruijing; Liu, Shaoxuan; Shi, Zhenyang Algorithm for calculating the initial sample size in a fully sequential ranking and selection procedure. Asia-Pac. J. Oper. Res. 37 (2020), no. 3, 2050015, 19 pp.
MR4107895 Nishimura, Joel; Cochran, Amy L. Rescorla-Wagner models with sparse dynamic attention. Bull. Math. Biol. 82 (2020), no. 6, Paper No. 69, 37 pp.
MR4107879 Kumar, Ajay; Singh, Shashank Sheshar; Singh, Kuldeep; Biswas, Bhaskar Link prediction techniques, applications, and performance: a survey. Phys. A 553 (2020), 124289, 46 pp.
MR4107168 Nguyen, Thi Thanh Sang; Do, Pham Minh Thu Classification optimization for training a large dataset with naïve Bayes. J. Comb. Optim. 40 (2020), no. 1, 141–169.
MR4107043 Zhou, Jianhua; Parmeter, Christopher F.; Kumbhakar, Subal C. Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity. European J. Oper. Res. 286 (2020), no. 3, 1142–1152.
MR4106776 Tsionas, Mike G.; Andrikopoulos, Athanasios A note on the Gao et al. (2019) uniform mixture model in the case of regression. Ann. Oper. Res. 289 (2020), no. 2, 495–501.
MR4106774 Lutz, Heather S.; Hale, Trevor S.; Huq, Faizul Technical note: the expected length of an orderly path. Ann. Oper. Res. 289 (2020), no. 2, 463–472.
MR4106677 Smirnov, Veniamin; Ma, Zhuanzhuan; Volchenkov, Dimitri Extreme events and emergency scales. Commun. Nonlinear Sci. Numer. Simul. 90 (2020), 105350, 20 pp.
MR4106671 Jiang, Chen; Hu, Zhen; Liu, Yixuan; Mourelatos, Zissimos P.; Gorsich, David; Jayakumar, Paramsothy A sequential calibration and validation framework for model uncertainty quantification and reduction. Comput. Methods Appl. Mech. Engrg. 368 (2020), 113172, 30 pp.
MR4106613 Zhang, Anru R.; Luo, Yuetian; Raskutti, Garvesh; Yuan, Ming ISLET: fast and optimal low-rank tensor regression via importance sketching. SIAM J. Math. Data Sci. 2 (2020), no. 2, 444–479.
MR4106609 Mohr, Maria; Neumeyer, Natalie Consistent nonparametric change point detection combining CUSUM and marked empirical processes. Electron. J. Stat. 14 (2020), no. 1, 2238–2271.
MR4106599 Miller, Joshua B.; Gelman, Andrew Rejoinder: Laplace's theories of cognitive illusions, heuristics and biases [MR4106597; MR4106598; MR4106596]. Statist. Sci. 35 (2020), no. 2, 175–177.
MR4106598 Shafer, Glenn Comment: illusions, then and now [MR4106596]. Statist. Sci. 35 (2020), no. 2, 173–174.
MR4106596 Miller, Joshua B.; Gelman, Andrew Laplace's theories of cognitive illusions, heuristics and biases. Statist. Sci.35 (2020), no. 2, 159–170.
MR4105669 Thach, Tien T.; Bris, Radim; Volf, Petr; Coolen, Frank P. A. Non-linear failure rate: a Bayes study using Hamiltonian Monte Carlo simulation. Internat. J. Approx. Reason. 123 (2020), 55–76.
MR4105666 Basili, Marcello; Chateauneuf, Alain Aggregation of experts' opinions and conditional consensus opinion by the Steiner point. Internat. J. Approx. Reason. 123 (2020), 17–25.
MR4105598 Ji, Min; Aminzadeh, Mostafa; Deng, Min Predictive modeling of threshold life tables. N. Am. Actuar. J. 24 (2020), no. 2, 316–332.
MR4105594 Li, Johnny S.-H.; Zhou, Rui; Liu, Yanxin; Graziani, George; Hall, R. Dale; Haid, Jennifer; Peterson, Andrew; Pinzur, Laurence Drivers of mortality dynamics: identifying age/period/cohort components of historical U.S. mortality improvements. N. Am. Actuar. J. 24 (2020), no. 2, 228–250.
MR4105591 Gan, Guojun; Valdez, Emiliano A. Data clustering with actuarial applications. N. Am. Actuar. J. 24 (2020), no. 2, 168–186.
MR4105566 Klatt, Marcel; Tameling, Carla; Munk, Axel Empirical regularized optimal transport: statistical theory and applications. SIAM J. Math. Data Sci. 2 (2020), no. 2, 419–443.
MR4105197 Kostková, Jitka; Flusser, Jan Robust multivariate density estimation under Gaussian noise. Multidimens. Syst. Signal Process. 31 (2020), no. 3, 1113–1143.
MR4105157 Zhang, Jing-Jing; Xiao, Yun-Peng Strong consistency rates for the estimators in a heteroscedastic EV model with missing responses. J. Inequal. Appl. 2020, Paper No. 144, 21 pp.
MR4105003 Bakhteev, O. Y.; Strijov, V. V. Comprehensive analysis of gradient-based hyperparameter optimization algorithms. Ann. Oper. Res. 289 (2020), no. 1, 51–65.
MR4104987 Castellares, Fredy; Patrício, Silvio C.; Lemonte, Artur J. On gamma-Gompertz life expectancy. Statist. Probab. Lett. 165 (2020), 108832, 7 pp.
MR4104985 Xie, Fang; Xiao, Zhijie Consistency of ℓ1 penalized negative binomial regressions. Statist. Probab. Lett. 165 (2020), 108816, 7 pp.
MR4104983 Kraus, David; Stefanucci, Marco Ridge reconstruction of partially observed functional data is asymptotically optimal. Statist. Probab. Lett. 165 (2020), 108813, 5 pp.
MR4104914 Gu, Xiaowei A self-training hierarchical prototype-based approach for semi-supervised classification. Inform. Sci. 535 (2020), 204–224.
MR4104911 Chu, Zheng; Yu, Jiong; Hamdulla, Askar LPG-model: A novel model for throughput prediction in stream processing, using a light gradient boosting machine, incremental principal component analysis, and deep gated recurrent unit network. Inform. Sci. 535 (2020), 107–129.
MR4104797 Zhang, Chuan; Liu, Zhe; Liu, Jiaming Least absolute deviations for uncertain multivariate regression model.Int. J. Gen. Syst. 49 (2020), no. 4, 449–465.
MR4104442 Chen, Haoran; Yu, Zhongjing; Yang, Qinli; Shao, Junming Attributed graph clustering with subspace stochastic block model. Inform. Sci. 535 (2020), 130–141.
MR4104440 Chu, Xiaoli; Sun, Bingzhen; Li, Xue; Han, Keyu; Wu, JiaQi; Zhang, Yan; Huang, Qingchun Neighborhood rough set-based three-way clustering considering attribute correlations: an approach to classification of potential gout groups.Inform. Sci. 535 (2020), 28–41.
MR4104439 Zhou, Xinlei; Wang, Xizhao; Hu, Cong; Wang, Ran An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inform. Sci. 535 (2020), 16–27.
MR4104433 Vo-Thanh, Nha; Piepho, Hans-Peter Augmented quasi-sudoku designs in field trials. Comput. Statist. Data Anal. 150 (2020), 106988, 14 pp.
MR4104384 Barakat, Haroon M.; Abd Elgawad, Mohamed A.; Alawady, Metwally A. Asymptotic order statistics of mixtures of distributions. Rocky Mountain J. Math. 50 (2020), no. 2, 429–443.
MR4104382 Adams, Henry; Blumstein, Mark; Kassab, Lara Multidimensional scaling on metric measure spaces. Rocky Mountain J. Math. 50 (2020), no. 2, 397–413.
MR4104367 Prakasa Rao, B. L. S. Nonparametric estimation of trend for stochastic differential equations driven by sub-fractional Brownian motion. Random Oper. Stoch. Equ. 28 (2020), no. 2, 113–122.
MR4104336 Marozzi, Marco; Chowdhury, Shovan An index of teaching performance based on students' feedback. Monte Carlo Methods Appl. 26 (2020), no. 2, 83–91.
MR4104290 Sathar, E. I. Abdul; Jose, Jitto Past extropy of k-records. Stoch. Qual. Control 35 (2020), no. 1, 25–38.
MR4104289 Gorgin, Vahideh; Sadeghpour Gildeh, Bahram MAD control chart for autoregressive models with skew-normal distribution. Stoch. Qual. Control 35 (2020), no. 1, 17–23.
MR4104288 Dey, Ashim Kumar; Das, Kumer Pial Predicting federal funds rate using extreme value theory. Stoch. Qual. Control 35 (2020), no. 1, 1–15.
MR4104041 Kumar, Amod; Singh, G. N.; Vishwakarma, Gajendra K. An efficient survey technique for estimating the proportion and sensitivity attributes in a dichotomous finite population. Proc. Nat. Acad. Sci. India Sect. A 90 (2020), no. 2, 281–287.
MR4104012 Mazucheli, Josmar; Bertoli, Wesley; Oliveira, Ricardo P.; Menezes, André F. B. On the discrete quasi xgamma distribution. Methodol. Comput. Appl. Probab. 22 (2020), no. 2, 747–775.
MR4104009 de Castro, Mário; Gómez, Yolanda M. A Bayesian cure rate model based on the power piecewise exponential distribution. Methodol. Comput. Appl. Probab. 22 (2020), no. 2, 677–692.
MR4104002 Zhu, Xiaojun; Balakrishnan, N.; Zhou, Yiliang Exact likelihood-ratio tests for a simple step-stress cumulative exposure model with censored exponential data. Methodol. Comput. Appl. Probab. 22 (2020), no. 2, 497–509.
MR4103860 Song, Wanjuan; Dong, Wenyong; Kang, Lanlan Group anomaly detection based on Bayesian framework with genetic algorithm. Inform. Sci. 533 (2020), 138–149.
MR4103858 Yang, Gang; Ding, Fei Associative memory optimized method on deep neural networks for image classification.Inform. Sci. 533 (2020), 108–119.
MR4103811 Zhang, Haixiang; Huang, Jian; Sun, Liuquan A rank-based approach to estimating monotone individualized two treatment regimes. Comput. Statist. Data Anal. 151 (2020), 107015, 12 pp.
MR4103753 Kuznetsov, Vitaly; Mohri, Mehryar Discrepancy-based theory and algorithms for forecasting non-stationary time series. Ann. Math. Artif. Intell. 88 (2020), no. 4, 367–399.
MR4103751 Jain, Brijnesh; Schultz, David Sufficient conditions for the existence of a sample mean of time series under dynamic time warping. Ann. Math. Artif. Intell. 88 (2020), no. 4, 313–346.
MR4103372 Szarek, Dawid; Bielak, Łukasz; Wyłomańska, Agnieszka Long-term prediction of the metals' prices using non-Gaussian time-inhomogeneous stochastic process. Phys. A 555 (2020), 124659, 18 pp.
MR4103367 Pyragas, Viktoras; Pyragas, Kestutis Using reservoir computer to predict and prevent extreme events. Phys. Lett. A 384 (2020), no. 24, 126591, 9 pp.
MR4103343 Cao, Xuan; Khare, Kshitij; Ghosh, Malay Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors. J. Multivariate Anal. 179 (2020), 104628, 22 pp.
MR4103294 Mazoyer, Adrien; Coeurjolly, Jean-François; Amblard, Pierre-Olivier Projections of determinantal point processes. Spat. Stat. 38 (2020), 100437, 20 pp.
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