![]() We apply our method to allele-frequency estimation in a Hutterite data set. The results indicate that although the MLE performs the best of the three, the BLUE is close in performance to the MLE and is substantially easier to calculate, making it particularly useful for large complex pedigrees in which MLE calculation is impractical or infeasible. Join Geordie Pete & Michelin Star TV Chef Galton Blackiston and discover the world of. We compare the mean-squared error of the BLUE, the commonly used naive estimator (sample frequency) and the MLE when the latter is feasible to calculate. The econometric literature of high frequency data often relies on moment estimators which are derived from assuming local constancy of volatility and related quantities. Students Contact Email: Research Interests The research in my group is designed to contribute to understanding the role of genetic, genomic and environmental factors, and their interactions, in the development of complex diseases. Steve Levitt, the iconoclastic University of Chicago economist and. The results are extended to prediction of allele frequency in some set of individuals S based on genotype data collected on a set of individuals R. We treat both the case when parental origin of each allele is known and when it is unknown. We show that our estimator has certain desirable small-sample properties in common with the maximum likelihood estimator (MLE) for this problem. Instructors: Professors Steven Lalley and Per Mykland Office: 118 Eckhart Hall Office Hours: Friday 1:00 - 2:00 Phone: 702-9890 E-mail: Course Assistant: Wei Su The first five weeks of the course will be taught by Professor Mykland, the last five by Professor Lalley. We derive this estimator, which is equivalent to the quasi-likelihood estimator for this problem, and we describe an efficient algorithm for computing the estimate and its variance. Statistics 313: Stochastic Processes II Spring 2013. ![]() For this case, we propose to use the best linear unbiased estimator (BLUE) of allele frequency. The motivation for this work is data collected on the Hutterites, an isolated founder population, so we focus particularly on the case in which the relationships among the sampled individuals are specified by a large, complex pedigree for which maximum likelihood estimation is impractical. We consider the problem of allele-frequency estimation based on data from related individuals. Many types of genetic analyses depend on estimates of allele frequencies.
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