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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
2023
Research activity per year
Overview
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Network
Projects / Grants
(7)
Research Output
(46)
Similar Scholars
(6)
Supervised Work
(11)
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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.
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Weight
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Mathematics
Varying Coefficient Model
97%
Estimator
96%
Variable Selection
93%
Simulation Study
88%
Regression Model
79%
Simultaneous Confidence Bands
77%
Estimate
76%
Performance
76%
Single-index Model
72%
Varying Coefficients
70%
Model Selection
64%
Longitudinal Data
61%
Hypothesis Test
59%
Covariates
57%
Spearman's coefficient
55%
Semiparametric Regression Model
55%
Coefficient
52%
Panel Data
51%
Screening
51%
Multiplicative Model
47%
Partial
46%
Test Statistic
44%
Oracle Property
44%
Competing Risks
42%
Functional Data
42%
Additive Models
41%
Data Model
39%
High-dimensional
39%
Statistical Inference
39%
Predictors
38%
Mixture Modeling
37%
Fixed Effects
37%
Model
37%
Biased Sampling
36%
Mixture Model
36%
Penalized Likelihood
36%
Asymptotic distribution
35%
Penalized Least Squares
35%
Sliced Inverse Regression
34%
Cumulative Incidence Function
33%
Nonparametric Estimation
33%
Independence
33%
Asymptotic Normality
33%
Averaging
32%
Semiparametric Model
32%
Partially Linear Model
32%
Data analysis
32%
Unsupervised Learning
31%
Profile
31%
High-dimensional Data
30%
Business & Economics
Variable Selection
100%
Estimator
99%
Coefficients
94%
Model Selection
76%
Simulation Study
74%
Semiparametric Regression
70%
Dimension Reduction
67%
Longitudinal Data
63%
Regression Model
59%
Confidence
53%
Statistical Inference
52%
Screening
50%
Predictors
47%
Index Model
46%
Covariates
45%
Asymptotic Distribution
45%
Sample Size
44%
Asymptotic Properties
42%
Finite Sample
41%
Splines
37%
Varying Coefficient Model
36%
Fixed Effects
36%
Rank Correlation
35%
Semiparametric Model
35%
Asymptotic Normality
34%
Nonparametric Regression
33%
Partially Linear Model
32%
Performance
29%
Gaussian Mixture Model
29%
Cross-validation
27%
Bias Reduction
26%
M-estimator
26%
Likelihood Estimation
25%
Censored Data
25%
Variance Estimation
25%
Smoothing
25%
Least Squares
24%
Errors in Variables
24%
Time-varying Coefficients
24%
Empirical Likelihood
24%
Prediction
24%
Inference
23%
Cluster Analysis
23%
Competing Risks
23%
Akaike Information Criterion
23%
Jump Diffusion
22%
Penalty Function
21%
Parameter Estimation
21%
Bayesian Methods
21%
Likelihood Ratio
20%
