A5100411649- Statistical Methods and Bayesian Inference
- Survey Sampling and Estimation Techniques
- Bayesian Methods and Mixture Models
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Survey Methodology and Nonresponse
- Game Theory and Voting Systems
- Hydrocarbon exploration and reservoir analysis
- Advanced Graph Theory Research
- Quantum Information and Cryptography
- Geological formations and processes
- Quantum optics and atomic interactions
- Financial Risk and Volatility Modeling
- Geochemistry and Elemental Analysis
- High-Voltage Power Transmission Systems
- Geochemistry and Geologic Mapping
- Advanced Causal Inference Techniques
- Geochemistry and Geochronology of Asian Mineral Deposits
- Graph theory and applications
- Statistical Methods in Clinical Trials
- Computational Physics and Python Applications
- Insurance, Mortality, Demography, Risk Management
- Advanced Topology and Set Theory
- Computational Geometry and Mesh Generation
Zhongnan University of Economics and Law
2017-2024
University of Wisconsin–Madison
2023
Henan Cancer Hospital
2022
Zhengzhou University
2022
University of Hong Kong
2013-2015
Shanghai University of Electric Power
2007
Although the item count technique is useful in surveys with sensitive questions, privacy of those respondents who possess characteristic interest may not be well protected due to a defect its original design. In this article, we propose two new survey designs (namely Poisson and negative binomial technique) which replace several independent Bernoulli random variables required by single or variable, respectively. The proposed models only provide closed form variance estimate confidence...
Summary To study the relationship between a sensitive binary response variable and set of non‐sensitive covariates, this paper develops hidden logistic regression to analyse non‐randomized data collected via parallel model originally proposed by Tian (2014). This is first employ analysis in field techniques. Both Newton–Raphson algorithm monotone quadratic lower bound are developed derive maximum likelihood estimates parameters interest. In particular, can be used association another measure...
Abstract Recently, although advances were made on modeling multivariate count data, existing models really has several limitations: (i) The Poisson log‐normal model (Aitchison and Ho, 1989) cannot be used to fit data with excess zero‐vectors; (ii) zero‐inflated (ZIP) distribution (Li et al ., 1999) zero‐truncated/deflated it is difficult apply high‐dimensional cases; (iii) Type I zero‐adjusted (ZAP) (Tian 2017) could only a special correlation structure for random components that are all...
Excessive zeros in multivariate count data are often observed scenarios of biomedicine and public health. To provide a better analysis on this type data, we first develop marginalized zero‐inflated Poisson (MZIP) regression model to directly interpret the overall exposure effects marginal means. Then, define multiple Pearson residual for our newly developed MZIP by simultaneously taking heterogeneity correlation into consideration. Furthermore, new averaging prediction method is introduced...
With the aim of providing better estimation for count data with overdispersion and/or excess zeros, we develop a novel method-optimal weighting based on cross-validation-for zero-inflated negative binomial model, where Poisson, binomial, and Poisson models are all included as its special cases. To facilitate selection optimal weight vector, K-fold cross-validation technique is adopted. Unlike jackknife model averaging discussed in Hansen Racine (2012), proposed method deletes one group...
The threshold autoregressive (TAR) model has received considerable attention in nonlinear time series literature. To weaken the impacts coming from uncertainty and to improve prediction accuracy, this paper develops a leave‐ ‐out forward‐validation averaging (LhoFVMA) method average predictions TAR model. We establish our method's asymptotic optimality sense of achieving lowest possible squared risk. Simulation experiments show that is generally more efficient than other methods. For...
The traditional key generation distribution system will not meet the demands of power industry for extremely high security levels. quantum has been constructed in China industry, but its range service is limited now. To extend service, a satellite and ground combined technology video transmission proposed this paper. Based on existing communication resources used services. level protection via realized. Quantum signal rapid rectifying technique relay are to overcome many technical...