Faculty profile
Dianliang Deng
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Research
Latest papers
Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model.
Journal of statistical theory and applications : JSTA · 2026 · first author
A Lindley-binomial model for analyzing the proportions with sparseness and excessive zeros.
Journal of applied statistics · 2024 · first author
Adaptive aggregation for longitudinal quantile regression based on censored history process.
Statistical methods in medical research · 2023
Latest funding
- $31,000
Adaptive Approaches in Quantile Regression Framework
NSERC · 2024 · Principal investigator
- $96,000
Statistical Inference and Modelling for Complex Data
NSERC · 2018 · Principal investigator
- $55,000
Statistical Methods for Functional Data and Failure Time Data
NSERC · 2013 · Principal investigator
6 publications.
Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model.
Deng D, Zhang X
A Lindley-binomial model for analyzing the proportions with sparseness and excessive zeros.
Deng D, Zhang X
Adaptive aggregation for longitudinal quantile regression based on censored history process.
Xiong W, Deng D, Wang D, Zhang W
A multivariate zero-inflated binomial model for the analysis of correlated proportional data.
Deng D, Sun Y, Tian GL
Estimating the quantile medical cost under time-dependent covariates and right censored time-to-event variable based on a state process.
Liu X, Deng D, Wang D
Estimating the cumulative mean function for history process with time-dependent covariates and censoring mechanism.
Deng D
Adaptive Approaches in Quantile Regression Framework
Principal investigators: Deng, Dianliang
Keywords: quantile analysis; longitudinal data; survival data; joint modelling; health--care--related expenditure; semi- and nonparametric model; adaptive inference; proportional data; extra-dispersion; machine learning
Statistical Inference and Modelling for Complex Data
Principal investigators: Deng, Dianliang
Keywords: Differential Equations; Gene Expression Profiles; Health-care-related Expenditure; Joint Modelling; Limit Theorems in Self-normalized Sums; Longitudinal Data; Multivariate Zero-inflated Generalized Linear Model; Quantile Analysis; Random Elements in Hilbert Space; Survival Data
Statistical Methods for Functional Data and Failure Time Data
Principal investigators: Deng, Dianliang
Paramatric and nonparrametric inferences for various types of data
Principal investigators: Deng, Dianliang
Parametric inference: goodness of fit and extra variation in generalized linear models
Principal investigators: Deng, Dianliang
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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