An Effect of Background Population Sample Size on the Performance of a Likelihood Ratio-based Forensic Text Comparison System: A Monte Carlo Simulation with Gaussian Mixture Model.
Shunichi IshiharaPublished in: ALTA (2016)
Keyphrases
- sample size
- gaussian mixture model
- monte carlo simulation
- likelihood ratio
- hypothesis testing
- mixture model
- model selection
- monte carlo
- statistical tests
- markov chain
- em algorithm
- confidence intervals
- upper bound
- background model
- maximum likelihood
- covariance matrix
- progressive sampling
- expectation maximization
- probability density function
- feature space
- hypothesis test
- feature vectors
- statistical power
- gaussian distribution
- worst case
- machine learning
- text mining
- complex background
- statistical analysis
- bayesian information criterion
- data sets