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    Chapter and Conference Paper

    Research on the Optimization Model of Ethanol Coupling to C4 Olefins Based on Regression Analysis

    China is mainly prepared with fossil raw materials, C4 olefin, ethanol is a good raw material for the preparation of low-carbon olefins, but due to the preparation of ethanol coupling, the reaction principle o...

    Ying **e, Qi Li, Wenya Zhu, Qiwen Wu, Jun Wan in Intelligent Systems and Computing (2024)

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    Chapter and Conference Paper

    An Indirect Solution to WPLTS Group Decision Making Problem

    To study the problem of weighted probabilistic linguistic term set (WPLTS) multi-attribute group decision making. Firstly, WPLTS and WPHFS are defined, and a method to convert WPLTS to WPHFS is given. Secondly...

    Guo-Cheng Zhu, Jian Xu in Intelligent Systems and Computing (2024)

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    Chapter and Conference Paper

    Global Optimization for the Concave-Concave Multiplicative Programming with Coefficient

    In this paper, we present a global optimization algorithm for globally solving the problem (CMPC) of minimizing a concave-concave multiplicative function with coefficient over a compact convex set. We firstly ...

    Chang**n Zhu, YongBin OuYang in Intelligent Systems and Computing (2024)

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    Chapter and Conference Paper

    Linear Programming Subject to Max-Product Fuzzy Relation Inequalities with Discrete Variables

    In this paper, we introduced the linear programming subject to max-product fuzzy relation inequalities with discrete variables to denote the optimization management model of physical distribution. It is shown ...

    Xu Fu, Chang-xin Zhu, Zejian Qin in Intelligent Systems and Computing (2024)

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    Chapter

    Analysis and Interpretation of Sedentary Behaviour Data

    Never before, perhaps due to widely available wearable devices and the ubiquity of mobile phones, has it been so easy and convenient to collect physical activity and sedentary behaviour data. Yet, the availabl...

    Weimo Zhu in Sedentary Behaviour Epidemiology (2023)

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    Chapter

    Improved Convergence Rates of Normal Extremes

    It is well known that the convergence of the normal extremes to the limiting Gumbel distribution is extremely slow, at the rate of ...

    Yijun Zhu, Han **ao in Robust and Multivariate Statistical Methods (2023)

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    Chapter and Conference Paper

    Applications of Multivariate Quasi-Random Sampling with Neural Networks

    Generative moment matching networks (GMMNs) are suggested for modeling the cross-sectional dependence between stochastic processes. The stochastic processes considered are geometric Brownian motions and ARMA–G...

    Marius Hofert, Avinash Prasad, Mu Zhu in Monte Carlo and Quasi-Monte Carlo Methods (2022)

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    Chapter

    Model-Based Inverse Regression and Its Applications

    One fundamental concept in regression is dimension reduction, the basic idea being to reduce the dimension of the predictor space without loss of information on the regression. To avoid the curse of dimensiona...

    Tao Wang, Lixing Zhu in Festschrift in Honor of R. Dennis Cook (2021)

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    Chapter

    Modeling Species Specific Gene Expression Across Multiple Regions in the Brain

    Motivation: The question of what makes the human brain functionally different from that of other closely related primates, such as the chimpanzee, has both philosophical as well as practical implications. One of ...

    Liyang Diao, Ying Zhu, Nenad Sestan in Statistical Modeling in Biomedical Research (2020)

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    Chapter

    Cosine Similarity-Based Classifiers for Functional Data

    In many situations, functional observations in a class are also similar in shape. A variety of functional dissimilarity measures have been widely used in many pattern recognition applications. However, they do...

    Tianming Zhu, **-Ting Zhang in Contemporary Experimental Design, Multivar… (2020)

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    Chapter and Conference Paper

    A Simulation Study Comparing SNP Based Prediction Models of Drug Response

    Lack of replication on findings and missing heritability are two of the major challenges in Pharmacogenetics (PGx) studies. Recently developed statistical methods for genome-wide association studies offer grea...

    Wencan Zhang, **ye Zhang, Feng Gao, Yonghong Zhu, Ray Liu in Pharmaceutical Statistics (2019)

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    Chapter and Conference Paper

    Identifying and Comparing Writing Process Patterns Using Keystroke Logs

    There is a growing literature on the use of process data in digitally delivered assessments. In this study, we analyzed students’ essay writing processes using keystroke logs. Using four basic writing performa...

    Mo Zhang, Mengxiao Zhu, Paul Deane, Hongwen Guo in Quantitative Psychology (2019)

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    Chapter and Conference Paper

    A Novel Framework for Bayesian Response-Adaptive Randomization

    The development of response-adaptive randomization (RAR) has taken many different paths over the past few decades. Some RAR schemes optimize certain criteria, but may be complicated and often rely on asymptoti...

    Jian Zhu, Ina Jazić, Yi Liu in Pharmaceutical Statistics (2019)

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    Chapter and Conference Paper

    Enhancing Big Data Exploration with Faceted Browsing

    Big data analysis now drives nearly every aspect of modern society, from manufacturing and retail, through mobile and financial services, through the life sciences and physical sciences. The ability to continu...

    Sonia Bergamaschi, Giovanni Simonini in Classification, (Big) Data Analysis and St… (2018)

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    Chapter

    Analysis and Interpretation of Sedentary Behaviour Data

    Never before, perhaps due to widely available wearable devices and the ubiquity of mobile phones, has it been so easy and convenient to collect physical activity and sedentary behaviour data. Yet, the availabl...

    Weimo Zhu in Sedentary Behaviour Epidemiology (2018)

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    Chapter

    On the Landmark Survival Model for Dynamic Prediction of Event Occurrence Using Longitudinal Data

    In longitudinal cohort studies, participants are often monitored through periodic clinical visits until the occurrence of a terminal clinical event. A question of interest to both scientific research and clini...

    Yayuan Zhu, Liang Li, Xuelin Huang in New Frontiers of Biostatistics and Bioinformatics (2018)

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    Chapter and Conference Paper

    Exact Likelihood-Based Point and Interval Estimation for Lifetime Characteristics of Laplace Distribution Based on hybrid Type-I and Type-II Censored Data

    In this chapter, we first derive explicit expressions for the Maximum likelihood estimators (MLEs) of the parameters of Laplace distribution-based on a hybrid Type-I censored sample (Type-I HCS). We then deriv...

    Feng Su, N. Balakrishnan, **aojun Zhu in Trends and Perspectives in Linear Statisti… (2018)

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    Chapter

    Investigating an Intervention’s Causal Story: Mediation Analysis Using a Factorial Experiment and Multiple Mediators

    Behavioral, biobehavioral, and biomedical interventions presume a causal story. This causal story is used to create a conceptual model of why the intervention caused the observed outcome. Methods are needed to in...

    Rachel A. Smith, Donna L. Coffman, Xun Zhu in Optimization of Behavioral, Biobehavioral,… (2018)

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    Chapter

    Market Based Credit Rating and Its Applications

    Credit rating plays a critical role in financial risk management. It is like a name tag of a firm indicating its health condition. Generally, ratings involve a lot of firm-specific information which is hard to...

    R. S. Tsay, H. Zhu in Applied Quantitative Finance (2017)

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    Chapter and Conference Paper

    Two-sample tests for multivariate functional data

    We consider two–sample tests for functional data with observations which may be uni– or multi–dimensional. The new methods are formulated as L2–type criteria based on empirical characteristic functions and are...

    Qing Jiang, Simos G. Meintanis, Lixing Zhu in Functional Statistics and Related Fields (2017)

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