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Estimating Hidden Population Size using Respondent-Driven Sampling Data
Respondent-Driven Sampling Data Estimating Hidden Population Size
2012/11/23
Respondent-Driven Sampling (RDS) is an approach to sampling design and inference in hard-to-reach human populations. Typically, a sampling frame is not available, and population members are difficult ...
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States
Low Dimensional Hidden States Optimal Weighting Multi-View Data
2012/11/23
In Natural Language Processing (NLP) tasks, data often has the following two properties: First, data can be chopped into multi-views which has been successfully used for dimension reduction purposes. ...
A context dependent pair hidden Markov model for statistical alignment
Comparative genomics Contextual alignment DNA sequence alignment EM algorithm Insertion deletion model
2011/9/6
Abstract: This article proposes a novel approach to statistical alignment of nucleotide sequences by introducing a context dependent structure on the substitution process in the underlying evolutionar...