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Heng PENG public CV
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Heng PENG, Prof
Professor
,
Department of Mathematics
https://orcid.org/0000-0001-7807-8527
Email
hpeng
hkbu.edu
hk
Accepting PhD Students
2004
2025
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(7)
Research Output
(59)
Activities
(2)
Similar Scholars
(4)
Supervised Work
(13)
Fingerprint
Dive into the research topics where Heng PENG is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
Sort by:
Weight
Alphabetically
Mathematics
Approximates
15%
Asymptotic Distribution
19%
Asymptotic Normality
26%
Asymptotic Property
24%
Asymptotic Theory
20%
Asymptotics
27%
Biased Sampling
13%
Causal Inference
12%
Causal Relationship
18%
Coefficient Function
45%
Competing Risk Data
13%
Confidence Band
38%
Constant Coefficient
14%
Covariate
42%
Estimation Method
16%
Functional Data
18%
Gaussian Distribution
25%
Group Membership
13%
Hypothesis Test
27%
Inferential Statistics
25%
Least Square
27%
Likelihood Estimator
13%
Linear Models
29%
Longitudinal Data
30%
Mixture Model
18%
Model Index
21%
Model Selection
38%
Multiplicative Model
18%
Nonparametric Estimation
14%
Nonparametric Method
12%
Numerical Analysis
18%
Optimal Design
36%
Parameter Estimate
12%
Parameter Estimation
14%
Parametric
38%
Parametric Model
15%
Predictor Variable
12%
Probability Theory
23%
Real Data
64%
Regression Model
53%
Regularity Condition
13%
Regularization
22%
Representative Point
18%
Semiparametric Regression Model
23%
Simulation Study
100%
Spearman's Coefficient
20%
Spline
18%
Statistical Modeling
15%
Summary Statistic
18%
Test Statistic
25%
Keyphrases
Asymptotic Normality
19%
Asymptotic Properties
18%
Coefficient Function
30%
Competing Risks Data
13%
D-optimal Design
15%
Diverging number of Parameters
18%
Estimation Method
15%
Finite Sample Performance
38%
Fixed Effects
15%
Functional Data
18%
Hypothesis Testing
38%
Length-biased Sampling
13%
Link Function
14%
Local Averaging
27%
Longitudinal Data
21%
Mendelian Randomization
18%
Model Selection
30%
Multiplicative Model
18%
Nonconcave
17%
Nonparametric
44%
Nonparametric Component
15%
Nonparametric Estimation
19%
Nonparametric Function
15%
Number of Components
13%
Oracle Property
21%
Panel Data Model
18%
Parametric Component
17%
Partial Consistency
24%
Partial Linear
18%
Partially Linear Model
16%
Penalized Least Squares
13%
Penalized Likelihood
13%
Rank Correlation
20%
Real-time Data Analysis
15%
Regression Model
17%
Screening Method
15%
Semi-parametric
21%
Semi-varying Coefficient Model
27%
Semiparametric Model
17%
Semiparametric Regression Model
23%
Simulation Study
75%
Simultaneous Confidence Band
37%
Single-index Model
21%
Sliced Inverse Regression
15%
Statistical Computing
18%
Statistical Inference
22%
Sure Independence Screening
16%
Test Statistic
27%
Ultrahigh-dimensional Data
14%
Varying Coefficient
36%
