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Heng PENG, Dr
Associate Professor
,
Department of Mathematics
https://orcid.org/0000-0001-7807-8527
Email
hpenghkbu.eduhk
2004
2022
Research activity per year
Overview
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Network
Projects / Grants
(6)
Research Output
(44)
Similar Scholars
(6)
Supervised Work
(10)
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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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Mathematics
Varying Coefficient Model
97%
Estimator
96%
Variable Selection
93%
Simulation Study
88%
Simultaneous Confidence Bands
77%
Performance
76%
Regression Model
76%
Estimate
75%
Single-index Model
72%
Varying Coefficients
70%
Model Selection
64%
Longitudinal Data
61%
Hypothesis Test
59%
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%
Covariates
42%
Competing Risks
42%
Additive Models
41%
Data Model
39%
Statistical Inference
39%
Predictors
38%
Fixed Effects
37%
Biased Sampling
36%
Mixture Model
36%
Asymptotic distribution
35%
Penalized Least Squares
35%
Model
35%
Sliced Inverse Regression
34%
Cumulative Incidence Function
33%
Nonparametric Estimation
33%
Independence
33%
Averaging
32%
Semiparametric Model
32%
Partially Linear Model
32%
Penalized Likelihood
32%
Data analysis
32%
Profile
31%
High-dimensional Data
30%
Link Function
30%
Asymptotic Normality
29%
Biased
29%
Dimension-reduction Subspaces
29%
Number of Components
29%
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
57%
Confidence
53%
Statistical Inference
52%
Screening
50%
Predictors
47%
Index Model
46%
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%
Nonparametric Regression
33%
Partially Linear Model
32%
Asymptotic Normality
30%
Performance
29%
Gaussian Mixture Model
29%
Cross-validation
27%
Covariates
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%
Competing Risks
23%
Akaike Information Criterion
23%
Jump Diffusion
22%
Penalty Function
21%
Parameter Estimation
21%
Bayesian Methods
21%
Likelihood Ratio
20%
Parametric Model
19%
