A multivariate von mises distribution with applications to bioinformatics |
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Authors: | Kanti V. Mardia Gareth Hughes Charles C. Taylor Harshinder Singh |
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Affiliation: | 1. Email:sta6kvm(c) leeds.ac.uk;4. Department of Statistics, University of Leeds Leeds LS2 9JT, United Kingdom;5. Department of Clinical Science at South Bristol Level 6, UBHT Education Centre, Upper Maudlin Street Bristol BS2 8AE, United Kingdom;6. Deceased February 4, 2005. |
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Abstract: | ![]() Motivated by problems of modelling torsional angles in molecules, Singh, Hnizdo & Demchuk (2002) proposed a bivariate circular model which is a natural torus analogue of the bivariate normal distribution and a natural extension of the univariate von Mises distribution to the bivariate case. The authors present here a multivariate extension of the bivariate model of Singh, Hnizdo & Demchuk (2002). They study the conditional distributions and investigate the shapes of marginal distributions for a special case. The methods of moments and pseudo‐likelihood are considered for the estimation of parameters of the new distribution. The authors investigate the efficiency of the pseudo‐likelihood approach in three dimensions. They illustrate their methods with protein data of conformational angles |
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Keywords: | Bessel function circular mean directional data gamma turn proteomics pseudo‐likelihood von Mises distribution Wald test |
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