47 Result(s)
within
Statistics
**ang-Li Li
Article
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Article
Multivariate Hawkes processes with spatial covariates for spatiotemporal event data analysis
Spatiotemporal events occur in many disciplines, including economics, sociology, criminology, and seismology, with different patterns in space and time related to environmental characteristics, policing, and h...
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A Distributed Regression Analysis Application Package Using SAS
Distributed regression is a privacy-preserving analytical method that performs multiple regression analysis using only summary-level information from participating data partners in multi-center studies. To our...
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Empirical likelihood inference for the panel count data with informative observation process
Panel count data refer to interval-censored recurrent event data. Each study subject can only be observed at discrete time points, leading to knowledge about the total number of events occurring between observ...
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Open AccessClustering Longitudinal Data for Growth Curve Modelling by Gibbs Sampler and Information Criterion
Clustering longitudinal data for growth curve modelling is considered in this paper, where we aim to optimally estimate the underpinning unknown group partition matrix. Instead of following the conventional so...
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Model checking for generalized partially linear models
We propose a residual-marked empirical process test to check goodness of fit for generalized partially linear models. The proposed test can gain dimension reduction, is shown to be consistent, and can detect r...
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A flexible time-varying coefficient rate model for panel count data
Panel count regression is often required in recurrent event studies, where the interest is to model the event rate. Existing rate models are unable to handle time-varying covariate effects due to theoretical a...
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Promotion Time Cure Model with Local Polynomial Estimation
In modeling survival data with a cure fraction, flexible modeling of covariate effects on the probability of cure has important medical implications, which aids investigators in identifying better treatments t...
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Two-step semiparametric empirical likelihood inference from capture–recapture data with missing covariates
Missing covariates are not uncommon in capture–recapture studies. When covariate information is missing at random in capture–recapture data, an empirical full likelihood method has been demonstrated to outperf...
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Open AccessDynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes
To achieve the goal of providing the best possible care to each individual under their care, physicians need to customize treatments for individuals with the same health state, especially when treating disease...
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A covariate-driven beta-binomial integer-valued GARCH model for bounded counts with an application
This paper considers the modeling problem of the weekly number of districts with new cases of cryptosporidiosis infection, and proposes a covariate-driven beta-binomial integer-valued GARCH model with a logit ...
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Structure learning of exponential family graphical model with false discovery rate control
Probabilistic graphical models enjoy great popularity in a wide range of domains due to their ability to model the conditional dependency relationships among random variables. This paper explores the structure...
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Matched Queues with Flexible and Impatient Customers
In this paper, we consider a double-ended queue with First-Come-First-Match discipline (also known as matched queues) under customers’ flexible and impatient behaviors. Such a system can be expressed as a leve...
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Article
Spatial analysis of subjective well-being in Japan
This study investigates subjective well-being in Japan using a survey of 22,539 respondents in 46 prefectures in December 2019. We applied a Bayesian hierarchical model to the self-reported well-being responde...
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A new class of integer-valued GARCH models for time series of bounded counts with extra-binomial variation
This article considers a modeling problem of integer-valued time series of bounded counts in which the binomial index of dispersion of the observations is greater than one, i.e., the observations inhere the ch...
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Estimation and inference of predictive discrimination for survival outcome risk prediction models
Accurate risk prediction has been the central goal in many studies of survival outcomes. In the presence of multiple risk factors, a censored regression model can be employed to estimate a risk prediction rule...
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Two-stage estimation and simultaneous confidence band in partially nonlinear additive model
In this paper, we focus on the estimation and inference in partially nonlinear additive model on which few research was conducted to our best knowledge. By integrating spline approximation and local smoothing,...
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Empirical likelihood for nonparametric regression models with spatial autoregressive errors
In this paper, we propose to use the empirical likelihood (EL) method to construct confidence regions for nonparametric regression models with spatial autoregressive errors. It is shown that the EL statistics ...
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Regression Analysis of Mixed Panel-Count Data with Application to Cancer Studies
Both panel-count data and panel-binary data are common data types in recurrent event studies. Because of inconsistent questionnaires or missing data during the follow-ups, mixed data types need to be addressed...
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Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables
In this paper, a partially linear varying-coefficient model with measurement errors in the nonparametric component as well as missing response variable is studied. Two estimators for the parameter vector and n...
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Multiple event times in the presence of informative censoring: modeling and analysis by copulas
Motivated by a breast cancer research program, this paper is concerned with the joint survivor function of multiple event times when their observations are subject to informative censoring caused by a terminat...
