𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Markov chain Monte Carlo methods for family trees using a parallel processor

✍ Scribed by Russell Bradford; Alun Thomas

Publisher
Springer US
Year
1996
Tongue
English
Weight
814 KB
Volume
6
Category
Article
ISSN
0960-3174

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Determining joint carrier probabilities
Determining joint carrier probabilities of cancer-causing genes using Markov chain Monte Carlo methods
✍ Swati Biswas; Donald A. Berry πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 347 KB

In genetic counseling for cancer risk, the probability of carrying a mutation of a cancer-causing gene plays an important role. Family history of various cancers is important in calculating this probability. BRCAPRO (Parmigiani et al. [1998] Am J Hum Genet 62:145-158) is a widely used software for c

Source identification for unsteady atmos
Source identification for unsteady atmospheric dispersion of hazardous materials using Markov Chain Monte Carlo method
✍ Shaodong Guo; Rui Yang; Hui Zhang; Wenguo Weng; Weicheng Fan πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 506 KB

This paper is to study source inversion and identification of hazardous gas dispersion in a three-dimensional urban area. An unsteady adjoint transportation model was adopted, and an advanced numerical scheme based on adaptive mesh refinement was used. A time-dependent concentration database over th

Measuring departures from Hardy–Weinberg
Measuring departures from Hardy–Weinberg: a Markov chain Monte Carlo method for estimating the inbreeding coefficient
✍ KAREN L. AYRES; DAVID J. BALDING πŸ“‚ Article πŸ“… 1998 πŸ› Nature Publishing Group 🌐 English βš– 874 KB

Many well-established statistical methods in genetics were developed in a climate of severe constraints on computational power. Recent advances in simulation methodology now bring modern, flexible statistical methods within the reach of scientists having access to a desktop workstation. We illustrat