Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification
Xiaotian Xie
,
Dimitrios Katselis
,
Carolyn L. Beck
,
R. Srikant
Electrical and Computer Engineering
Coordinated Science Lab
Industrial and Enterprise Systems Engineering
Information Trust Institute
Mechanical Science and Engineering
Siebel School of Computing and Data Science
Office of the Vice Chancellor for Research and Innovation
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'On the Consistency of Maximum Likelihood Estimators for Causal Network Identification'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Maximum Likelihood Estimator
100%
Bernoulli
100%
Network Identification
100%
Causal Network
100%
Edge Weight
50%
Autoregressive Model
50%
Node State
50%
Markov Chain
25%
Maximum Likelihood Estimation
25%
Random Variables
25%
Directed Graph
25%
Strong Consistency
25%
Influence Level
25%
Autoregressive Process
25%
Convex Combination
25%
Strongly Consistent
25%
Weight Classification
25%
Bernoulli Noise
25%
Closed-form Estimator
25%
Mathematics
Edge
100%
Maximum Likelihood Estimator
100%
Time Instant
100%
Autoregressive Model
100%
State Variable
33%
Closed Form
33%
Convex Combination
33%
Random Variable
33%
Markov Chain
33%
Maximum Likelihood
33%