Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Universal and composite hypothesis testing via mismatched divergence
Jayakrishnan Unnikrishnan
, Dayu Huang
, Sean P. Meyn
, Amit Surana
,
Venugopal V. Veeravalli
Electrical and Computer Engineering
Statistics
Information Trust Institute
Coordinated Science Lab
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Universal and composite hypothesis testing via mismatched divergence'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Alternate Distribution
50%
Asymptotic Performance
25%
Asymptotic Variance
25%
Composite Test
100%
Dimensional Parameters
25%
Divergence
100%
Empirical Distribution Function
25%
Error Exponent
25%
Error Term
25%
Exponential Family
25%
Finite Sample Size
25%
Finite-dimensional
25%
Generalized Likelihood Ratio Test
50%
Hoeffding
50%
Hoeffding Test
75%
Hypothesis Testing Problem
50%
Kullback-Leibler Divergence
50%
Large alphabet
25%
Nineteen
25%
Parametric Families of Distributions
25%
Sixties
25%
Test Statistic
50%
Universal Testing
100%
Unknown Distribution
25%
Mathematics
Asymptotic Variance
50%
Asymptotics
50%
Composite Hypothesis
100%
Exponential Family
50%
Generalized Likelihood Ratio
100%
Hypothesis Testing Problem
100%
Likelihood Ratio Test
100%
Nineteen Sixty
50%
Parametric Family
50%
Statistical Hypothesis Testing
100%
Test Statistic
100%