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Citations to this Journal [245 citations: 1–100 of 239 articles]

Articles published in Journal of Probability and Statistics have been cited 245 times. The following is a list of the 239 articles that have cited the articles published in Journal of Probability and Statistics.

  • Solene Desmee, France Mentre, Christine Veyrat-Follete, and Jeremie Guedj, “Nonlinear Mixed-Effect Models for Prostate-Specific Antigen Kinetics and Link with Survival in the Context of Metastatic Prostate Cancer: a Comparison,” Aaps Journal, vol. 17, no. 3, pp. 691–699, 2015. View at Publisher · View at Google Scholar
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  • Sara Mclafferty, “Disease cluster detection methods: recent developments and public health implications,” Annals of GIS, pp. 1–7, 2015. View at Publisher · View at Google Scholar
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  • Zhiyuan Xu, and Wei Pan, “Approximate score-based testing with application to multivariate trait association analysis,” Genetic Epidemiology, 2015. View at Publisher · View at Google Scholar
  • Jackie Li, and Steven Haberman, “On the effectiveness of natural hedging for insurance companies and pension plans,” Insurance: Mathematics and Economics, 2015. View at Publisher · View at Google Scholar
  • Vahid Nekoukhou, and Hamid Bidram, “A new four-parameter discrete distribution with bathtub and unimodal failure rate,” Journal of Applied Statistics, pp. 1–17, 2015. View at Publisher · View at Google Scholar
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  • Michael Lawton, Kate Tilling, Neil Robertson, Helen Tremlett, Feng Zhu, Katharine Harding, Joel Oger, and Yoav Ben-Shlomo, “A longitudinal model for disease progression was developed and applied to multiple sclerosis,” Journal of Clinical Epidemiology, 2015. View at Publisher · View at Google Scholar
  • Yongfeng Wu, Tien-Chung Hu, and Andrei Volodin, “Complete convergence and complete moment convergence for weighted sums of m-NA random variables,” Journal Of Inequalities And Applications, 2015. View at Publisher · View at Google Scholar
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  • Erik Vanem, “Uncertainties in extreme value modelling of wave data in a climate change perspective,” Journal of Ocean Engineering and Marine Energy, 2015. View at Publisher · View at Google Scholar
  • Morad Alizadeh, Gauss M. Cordeiro, Edleide de Brito, and Clarice Garcia B. Demétrio, “The beta Marshall-Olkin family of distributions,” Journal of Statistical Distributions and Applications, vol. 2, no. 1, 2015. View at Publisher · View at Google Scholar
  • Morad Alizadeh, M.H. Tahir, Gauss M. Cordeiro, M. Mansoor, M. Zubair, and G.G. Hamedani, “The Kumaraswamy Marshal-Olkin family of distributions,” Journal of the Egyptian Mathematical Society, 2015. View at Publisher · View at Google Scholar
  • Xifen Huang, Guo-Liang Tian, Yin Liu, and Jun-Wu Yu, “Type II combination questionnaire model: A new survey design for a totally sensitive binary variable correlated with another nonsensitive binary variable,” Journal of the Korean Statistical Society, 2015. View at Publisher · View at Google Scholar
  • Sungwook Kim, and Nancy Flournoy, “Optimal experimental design for systems with bivariate failures under a bivariate Weibull function,” Journal Of The Royal Statistical Society Series C-Applied Statistics, vol. 64, no. 3, pp. 413–432, 2015. View at Publisher · View at Google Scholar
  • Bian Liu, Samantha M. Kerath, Mikkael A. Sekeres, Jon P. Fryzek, Chandrika Sreekantaiah, Christopher R. Mason, Jonathan Kolitz, and Emanuela Taioli, “Myelodysplastic syndromes spatial clusters in disease etiology and outcome,” Leukemia & Lymphoma, pp. 1–26, 2015. View at Publisher · View at Google Scholar
  • István Fazekas, Csaba Noszály, and Attila Perecsényi, “Weights of Cliques in a Random Graph Model Based on Three-Interactions*,” Lithuanian Mathematical Journal, 2015. View at Publisher · View at Google Scholar
  • Y. Slaoui, “The stochastic approximation method for estimation of a distribution function,” Mathematical Methods of Statistics, vol. 23, no. 4, pp. 306–325, 2015. View at Publisher · View at Google Scholar
  • Wanyang Dai, “Mean-Variance Hedging Based on an Incomplete Market with External Risk Factors of Non-Gaussian OU Processes,” Mathematical Problems in Engineering, vol. 2015, pp. 1–20, 2015. View at Publisher · View at Google Scholar
  • Jennifer Koran, Todd C. Headrick, and Tzu Chun Kuo, “Simulating Univariate and Multivariate Nonnormal Distributions through the Method of Percentiles,” Multivariate Behavioral Research, pp. 1–17, 2015. View at Publisher · View at Google Scholar
  • Fernando A. Lopez, Coro Chasco, and Julie Le Gallo, “Exploring scan methods to test spatial structure with an application to housing prices in Madrid,” Papers In Regional Science, vol. 94, no. 2, pp. 317–346, 2015. View at Publisher · View at Google Scholar
  • Xi-Yuan Qian, Ya-Min Liu, Zhi-Qiang Jiang, Boris Podobnik, Wei-Xing Zhou, and H. Eugene Stanley, “Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces,” Physical Review E, vol. 91, no. 6, 2015. View at Publisher · View at Google Scholar
  • Fernando A. Olivencia Polo, Jesús Ferrero Bermejo, Juan F. Gómez Fernández, and Adolfo Crespo Márquez, “Failure mode prediction and energy forecasting of PV plants to assist dynamic maintenance tasks by ANN based models,” Renewable Energy, vol. 81, pp. 227–238, 2015. View at Publisher · View at Google Scholar
  • Yousri Slaoui, “Plug-in bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method,” Statistica Neerlandica, 2015. View at Publisher · View at Google Scholar
  • David Donoho, and Jiashun Jin, “Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects,” Statistical Science, vol. 30, no. 1, pp. 1–25, 2015. View at Publisher · View at Google Scholar
  • Gioia Carinci, Cristian Giardina, Claudio Giberti, and Frank Redig, “Dualities in population genetics: A fresh look with new dualities,” Stochastic Processes And Their Applications, vol. 125, no. 3, pp. 941–969, 2015. View at Publisher · View at Google Scholar
  • Yanyan Sheng, “ Bayesian Item Response Modeling: Theory and Applications ,” Structural Equation Modeling: A Multidisciplinary Journal, pp. 1–5, 2015. View at Publisher · View at Google Scholar
  • Konstantin G. Arbeev, Igor Akushevich, Alexander M. Kulminski, Svetlana V. Ukraintseva, and Anatoliy I. Yashin, “Biodemographic Analyses of Longitudinal Data on Aging, Health, and Longevity: Recent Advances and Future Perspectives,” Advances in Geriatrics, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Hugues Aschard, Bjarni J. Vilhjalmsson, Nicolas Greliche, Pierre-Emmanuel Morange, David-Alexandre Tregouet, and Peter Kraft, “Maximizing the Power of Principal-Component Analysis of Correlated Phenotypes in Genome-wide Association Studies,” American Journal of Human Genetics, vol. 94, no. 5, pp. 662–676, 2014. View at Publisher · View at Google Scholar
  • Xueli Yang, Jiang He, Dongfeng Gu, James E. Hixson, Jianfeng Huang, Dabeeru C. Rao, Lawrence C. Shimmin, Jichun Chen, Treva K. Rice, Jianxin Li, Karen Schwander, and Tanika N. Kelly, “Associations of Epithelial Sodium Channel Genes With Blood Pressure Changes and Hypertension Incidence: The GenSalt Study,” American Journal of Hypertension, vol. 27, no. 11, pp. 1370–1376, 2014. View at Publisher · View at Google Scholar
  • Niels Komen, Juliette Slieker, Paul Willemsen, Guido Mannaerts, Piet Pattyn, Tom Karsten, Hans de Wilt, Erwin van der Harst, Yolanda B. de Rijke, Magdalena Murawska, Johannes Jeekel, and Johan F. Lange, “Acute phase proteins in drain fluid: a new screening tool for colorectal anastomotic leakage? The APPEAL study: analysis of parameters predictive for evident anastomotic leakage,” American Journal of Surgery, vol. 208, no. 3, pp. 317–323, 2014. View at Publisher · View at Google Scholar
  • Yawei He, and Zehua Chen, “The EBIC and a sequential procedure for feature selection in interactive linear models with high-dimensional data,” Annals of the Institute of Statistical Mathematics, 2014. View at Publisher · View at Google Scholar
  • Aerambamoorthy Thavaneswaran, Nalini Ravishanker, and You Liang, “Generalized duration models and optimal estimation using estimating functions,” Annals of the Institute of Statistical Mathematics, 2014. View at Publisher · View at Google Scholar
  • Gauss M. Cordeiro, Edwin M.M. Ortega, Božidar V. Popović, and Rodrigo R. Pescim, “The Lomax generator of distributions: Properties, minification process and regression model,” Applied Mathematics and Computation, vol. 247, pp. 465–486, 2014. View at Publisher · View at Google Scholar
  • Artur J. Lemonte, “The beta log-logistic distribution,” Brazilian Journal of Probability and Statistics, vol. 28, no. 3, pp. 313–332, 2014. View at Publisher · View at Google Scholar
  • Xueli Yang, Dongfeng Gu, Jiang He, James E. Hixson, Dabeeru C. Rao, Fanghong Lu, Jianjun Mu, Cashell E. Jaquish, Jing Chen, Jianfeng Huang, Lawrence C. Shimmin, Treva K. Rice, Jichun Chen, Xigui Wu, Depei Liu, and Tanika N. Kelly, “Genome-Wide Linkage and Regional Association Study of Blood Pressure Response to the Cold Pressor Test in Han Chinese The Genetic Epidemiology Network of Salt Sensitivity Study,” Circulation-Cardiovascular Genetics, vol. 7, no. 4, pp. 521–U325, 2014. View at Publisher · View at Google Scholar
  • Alireza Ghodsi, and Mahendran Shitan, “Autocovariance Function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) Models,” Communications in Statistics - Theory and Methods, vol. 44, no. 5, pp. 933–941, 2014. View at Publisher · View at Google Scholar
  • K. R. Muraleedharan Nair, and N. Sreelakshmi, “The New Zenga Curve in the Context of Reliability Analysis,” Communications in Statistics - Theory and Methods, pp. 141007154201004, 2014. View at Publisher · View at Google Scholar
  • Mohamed Cherfi, “On Bayesian estimation via divergences,” Comptes Rendus Mathematique, vol. 352, no. 9, pp. 749–754, 2014. View at Publisher · View at Google Scholar
  • R. Arabi Belaghi, M. Arashi, and S. M. M. Tabatabaey, “Improved confidence intervals for the scale parameter of Burr XII model based on record values,” Computational Statistics, 2014. View at Publisher · View at Google Scholar
  • R. Pino-Mejias, and A. Rufian-Lizana, “Minimum -divergence estimators for multinomial models and applications,” Computational Statistics, vol. 29, no. 1-2, pp. 363–401, 2014. View at Publisher · View at Google Scholar
  • Nicolas Raillard, Marc Prevosto, and Pierre Ailliot, “Modeling process asymmetries with Laplace moving average,” Computational Statistics & Data Analysis, 2014. View at Publisher · View at Google Scholar
  • Zhengjia Chen, Ye Cui, Taofeek K. Owonikoko, Zhibo Wang, Zheng Li, Ruiyan Luo, Michael Kutner, Fadlo R. Khuri, and Jeanne Kowalski, “Escalation with Overdose Control using All Toxicities and Time to Event Toxicity Data in Cancer Phase I Clinical Trials,” Contemporary Clinical Trials, 2014. View at Publisher · View at Google Scholar
  • Sofia Anyfantaki, and Antonis Demos, “Estimation and Properties of a Time-Varying EGARCH(1,1) in Mean Model,” Econometric Reviews, pp. 141107092442003, 2014. View at Publisher · View at Google Scholar
  • Jie Ding, and Xinzhong Chen, “Assessment of methods for extreme value analysis of non-Gaussian wind effects with short-term time history samples,” Engineering Structures, vol. 80, pp. 75–88, 2014. View at Publisher · View at Google Scholar
  • S. Nadarajah, E. Afuecheta, and S. Chan, “The log-power-normal distribution is the exponentiated lognormal distribution,” Environmetrics, vol. 25, no. 5, pp. 361–362, 2014. View at Publisher · View at Google Scholar
  • Bogdan Grechuk, and Michael Zabarankin, “Risk Averse Decision Making under Catastrophic Risk,” European Journal of Operational Research, 2014. View at Publisher · View at Google Scholar
  • Francesca Greselin, Leo Pasquazzi, and Ricardas Zitikis, “Heavy tailed capital incomes: Zenga index, statistical inference, and ECHP data analysis,” Extremes, vol. 17, no. 1, pp. 127–155, 2014. View at Publisher · View at Google Scholar
  • Kaitlyn Cook, Alejandra Benitez, Casey Fu, and Nathan Tintle, “Evaluating the impact of genotype errors on rare variant tests of association,” Frontiers in Genetics, vol. 5, 2014. View at Publisher · View at Google Scholar
  • Konstantin G. Arbeev, Igor Akushevich, Alexander M. Kulminski, Svetlana V. Ukraintseva, and Anatoliy I. Yashin, “Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival,” Frontiers in Public Health, vol. 2, 2014. View at Publisher · View at Google Scholar
  • Yongfeng Wu, and JiangYan Peng, “Strong convergence for weighted sums of ρ*-mixing random variables,” Glasnik Matematicki, vol. 49, no. 1, pp. 221–234, 2014. View at Publisher · View at Google Scholar
  • Philip A. Catherwood, and William G. Scanlon, “The Influence of the User in Body-Centric Antennas and Propagation at 3-6 GHz-A Rician K-Factor Approach,” Ieee Antennas and Wireless Propagation Letters, vol. 13, pp. 907–910, 2014. View at Publisher · View at Google Scholar
  • Juli�n A. Gallego Arrubla, Lewis Ntaimo, and Curt Stripling, “Wildfire initial response planning using probabilistically constrained stochastic integer programming,” International Journal of Wildland Fire, vol. 23, no. 6, pp. 825, 2014. View at Publisher · View at Google Scholar
  • Tzu Chun Kuo, and Todd C. Headrick, “Simulating Univariate and Multivariate Tukey -and- Distributions Based on the Method of Percentiles,” ISRN Probability and Statistics, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Junbo Duan, Ji-Gang Zhang, Mingxi Wan, Hong-Wen Deng, and Yu-Ping Wang, “Population clustering based on copy number variations detected from next generation sequencing data,” Journal of Bioinformatics and Computational Biology, pp. 1450021, 2014. View at Publisher · View at Google Scholar
  • Waley W. J. Liang, Jacob B. Colvin, Bruno Sanso, and Herbert K. H. Lee, “Modeling and Anomalous Cluster Detection for Point Processes Using Process Convolutions,” Journal of Computational and Graphical Statistics, vol. 23, no. 1, pp. 129–150, 2014. View at Publisher · View at Google Scholar
  • Natalia Sizova, “A Frequency-Domain Alternative to Long-Horizon Regressions with Application to Return Predictability,” Journal of Empirical Finance, 2014. View at Publisher · View at Google Scholar
  • Hideatsu Tsukahara, “Estimation of Distortion Risk Measures,” Journal of Financial Econometrics, vol. 12, no. 1, pp. 213–235, 2014. View at Publisher · View at Google Scholar
  • Taehan Bae, Ian Iscoe, and Changki Kim, “Valuing Retail Credit Tranches with Structural, Double Mixture Models,” Journal of Futures Markets, 2014. View at Publisher · View at Google Scholar
  • Abdur Rehman, and Shahid Mubeen, “Some inequalities involving k-gamma and k-beta functions with applications - II,” Journal Of Inequalities And Applications, 2014. View at Publisher · View at Google Scholar
  • Shunli Hao, and Quansheng Liu, “Convergence rates in the law of large numbers for arrays of martingale differences,” Journal of Mathematical Analysis and Applications, 2014. View at Publisher · View at Google Scholar
  • Christophe Chesneau, Jalal Fadili, and Bertrand Maillot, “Adaptive estimation of an additive regression function from weakly dependent data,” Journal of Multivariate Analysis, 2014. View at Publisher · View at Google Scholar
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  • Fredy Castellares, and Artur J. Lemonte, “A new generalized Weibull distribution generated by gamma random variables,” Journal of the Egyptian Mathematical Society, 2014. View at Publisher · View at Google Scholar
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