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Heng PENG public CV
View Scopus Profile
Heng PENG, Prof
Professor
,
Department of Mathematics
https://orcid.org/0000-0001-7807-8527
Email
hpeng
hkbu.edu
hk
Accepting PhD Students
2004
2024
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(7)
Research Output
(57)
Activities
(2)
Similar Scholars
(6)
Supervised Work
(11)
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
Additive Models
41%
Asymptotic distribution
35%
Asymptotic Normality
37%
Averaging
32%
Biased Sampling
36%
Coefficient
52%
Competing Risks
42%
Covariates
62%
Cumulative Incidence Function
33%
Data analysis
37%
Data Model
39%
Estimate
81%
Estimator
96%
Fixed Effects
37%
Functional Data
42%
High-dimensional
53%
High-dimensional Data
50%
Hypothesis Test
59%
Independence
33%
Longitudinal Data
61%
Mixture Model
55%
Mixture Modeling
37%
Model
46%
Model Selection
64%
Multiplicative Model
47%
Nonparametric Estimation
33%
Oracle Property
44%
Panel Data
51%
Partial
58%
Partially Linear Model
32%
Penalized Least Squares
35%
Penalized Likelihood
44%
Performance
85%
Predictors
41%
Profile
31%
Regression Model
79%
Screening
70%
Semiparametric Model
37%
Semiparametric Regression Model
60%
Simulation Study
95%
Simultaneous Confidence Bands
77%
Single-index Model
72%
Sliced Inverse Regression
34%
Spearman's coefficient
55%
Statistical Inference
44%
Test Statistic
44%
Unsupervised Learning
31%
Variable Selection
93%
Varying Coefficient Model
97%
Varying Coefficients
70%
Business & Economics
Akaike Information Criterion
23%
Asymptotic Distribution
45%
Asymptotic Normality
39%
Asymptotic Properties
42%
Bias Reduction
26%
Censored Data
25%
Cluster Analysis
23%
Coefficients
94%
Competing Risks
23%
Confidence
53%
Covariates
51%
Cox Model
25%
Cross-validation
27%
Dimension Reduction
67%
Empirical Likelihood
24%
Errors in Variables
24%
Estimator
99%
Finite Sample
47%
Fixed Effects
36%
Gaussian Mixture Model
29%
Index Model
46%
Inference
23%
Jump Diffusion
22%
Least Squares
24%
Likelihood Estimation
25%
Longitudinal Data
63%
M-estimator
26%
Microarray
26%
Mixture Model
30%
Model Selection
76%
Nonparametric Regression
33%
Order Selection
26%
Partially Linear Model
32%
Performance
34%
Prediction
24%
Predictors
51%
Rank Correlation
35%
Regression Model
62%
Sample Size
44%
Screening
67%
Semiparametric Model
41%
Semiparametric Regression
77%
Simulation Study
83%
Smoothing
25%
Splines
37%
Statistical Inference
52%
Time-varying Coefficients
24%
Variable Selection
100%
Variance Estimation
25%
Varying Coefficient Model
36%
