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Mu He
Assistant Professor, Statistics
Department of Foundational Mathematics
Phone
+86 (0)512 88973043
Email
Mu.He
xjtlu.edu
cn
h-index
134
Citations
7
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2020
2024
Research activity per year
Overview
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Network
Projects
(2)
Research output
(21)
Activities
(30)
Similar Profiles
(1)
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Dive into the research topics where Mu He is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Mathematics
Inference
83%
Parameters
75%
Modeling
50%
System State
50%
Simulation Study
50%
Survival Analysis
37%
Likelihood Approach
37%
Correlation
37%
Simulation Model
37%
Maximum Likelihood Estimate
37%
Real Data
29%
Multivariate Regression
25%
Monte Carlo Method
25%
Life Test
25%
Likelihood Function
25%
Variables
25%
Maximum Likelihood Estimation
25%
Approximates
25%
Multivariate Linear Model
25%
Inferential Statistics
25%
Bayesian Estimation
25%
Incubation Period
25%
Rosenzweig
25%
Interval Estimation
16%
Copula
16%
Estimation Method
16%
Monte Carlo Simulation
16%
Asymptotic Confidence Interval
16%
Confidence Interval
16%
Life Testing Experiment
12%
Stress Level
12%
Mathematical Modeling
12%
Data Set
12%
Cycles
12%
Failure Time
12%
Expectation-Maximization Algorithm
12%
Monte Carlo
12%
Approximation
12%
Bayesian
12%
Cyclic Loading
12%
Regression Estimator
12%
Limit Cycle
12%
Predator Population
12%
Predator Mortality
12%
Exponential Distribution
8%
Bootstrap Confidence Interval
8%
Dependence Structure
8%
Parametric Bootstrap
8%
Stress State
8%
Method of Moment
8%
Medicine and Dentistry
Infection
50%
COVID-19
41%
Pediatrics
25%
Echocardiography
25%
Accuracy
25%
Death
25%
Human Development
25%
Left Atrial Enlargement
25%
Diagnosis
25%
Horizontal Disease Transmission
25%
Polyunsaturated Fatty Acid
25%
Mental Health
25%
Middle Age
25%
Electrocardiogram
20%
Incubation Time
16%
Analysis
16%
Disease
16%
P Wave
12%
Lead
12%
Omega-3 Fatty Acid
11%
Life Expectancy
8%
Mortality Rate
8%
Infection Rate
8%
Chronic Disease
8%
Hospital
8%
Comprehension
8%
Severe Acute Respiratory Syndrome
8%
Diamond
8%
Identity
8%
Model Selection
8%
Computer Science
Models
100%
Application
75%
Incubation Period
16%
Environmental Condition
13%
Likelihood Estimate
13%
maximum-likelihood
13%
Marginal Likelihood
13%
Correlation
13%
Genetic Similarity
13%
Simulation Study
13%
Model Discrimination
8%
Likelihood Function
8%
Parameter Model
8%
Incident
8%
Mathematical Modeling
8%
Bayesian Framework
8%
Approximation (Algorithm)
5%
Real Data Sets
5%
Algorithms
5%
