01127nam a2200169Ia 4500008004100000020001800041082001800059100001700077245008700094260003200181300001700213365001500230440004800245520058500293650004100878650003800919140323b2010 xxu||||| |||| 00| 0 eng d a9781420077490 a519.542bT2B2 aTan, Ming T. aBayesian missing data problems: EM, data augmentation and noniterative computation c2010bCRC PressaBoca Raton axviii, 328 p aPNDb57.99 aChapman & Hall/CRC biostatistics series; 32 aBayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-world problems, the authors focus on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms. (http://www.crcpress.com/product/isbn/9781420077490) aBayesian statistical decision theory aMissing observations (Statistics)