Rich and real, BMom is one woman's mosaic of love, life and loss, and of being found among the pieces. No one piece is a whole, yet all are precious, together a masterpiece, and each a gem. It's God restoring the shattered pieces of my life and my soul. His fingerprints are all over it. The reader will laugh and the reader will cry, and in that, we will become friends. BMom begins with my relinquishing my infant son into the hands of parents I couldnt know. It moves through the intervening years until he found me, on to our reunion, and beyond. Not only was I reunited with my son, I was reunited with myself. Interspersed are various interludes that speak of lessons learned, feelings finally understood and felt, and poetry written as part of my journey. BMom is entertaining and engaging, while occasionally making a point, to be taken or not, as the reader chooses. BMom is, above all else, a good read.

In the last two decades, Bayesian Statistics has acquired immense importance and has penetrated almost every area including those where the application of statistics appeared to be a remote possibility. This volume provides both theoretical and practical insights into the subject with detailed up-to-date material on various aspects. It serves two important objectives - to offer a thorough background material for theoreticians and gives a variety of applications for applied statisticians and practitioners. Consisting of 33 chapters, it covers topics on biostatistics, econometrics, reliability, image analysis, Bayesian computation, neural networks, prior elicitation, objective Bayesian methodologies, role of randomisation in Bayesian analysis, spatial data analysis, nonparametrics and a lot more. The book will serve as an excellent reference work for updating knowledge and for developing new methodologies in a wide variety of areas. It will become an invaluable tool for statisticians and the practitioners of Bayesian paradigm.