Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Inference in curved exponential family models for networks
David R. Hunter
, Mark S. Handcock
Statistics
Huck Institutes of the Life Sciences
Research output
:
Contribution to journal
›
Review article
›
peer-review
404
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Inference in curved exponential family models for networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Exponential Random Graph Models
100%
Curved Exponential Family
100%
Exponential Family Distribution
100%
Nonlinear Parameter
50%
Network Data
50%
Maximum Likelihood Estimation
50%
Structural Properties
25%
Statistical Model
25%
Descriptive Statistics
25%
Parameter Estimation
25%
Markov Chain Monte Carlo
25%
Collaborative Networks
25%
Fitting Method
25%
Model Fitting
25%
Complex Networks
25%
Model-based Testing
25%
New England
25%
Maximum Likelihood Method
25%
Likelihood Ratio Test
25%
First Review
25%
Linear-exponential
25%
Linear Parameters
25%
Transitivity
25%
Exponential Family
25%
Testing Techniques
25%
Law Firms
25%
Mathematics
Graph Model
100%
Curved Exponential Family
100%
Random Graphs
100%
Maximum Likelihood
50%
Markov Chain Monte Carlo
25%
Wide Variety
25%
Complex Networks
25%
Exponential Family
25%
Likelihood Ratio Test
25%
Structural Property
25%
Transitivity
25%
Descriptive Statistics
25%