TY - BOOK ID - 7689535 TI - Monte Carlo and quasi-Monte Carlo methods 2012 AU - Dick, J. AU - Kuo, F. Y. AU - Peters, Gareth W. AU - Sloan, I. H. AU - International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing PY - 2013 SN - 3642410944 3642410952 PB - Heidelberg, Germany : Springer, DB - UniCat KW - Mathematics KW - Physical Sciences & Mathematics KW - Mathematics - General KW - Monte Carlo method. KW - Computer graphics. KW - Computer science KW - Mathematical statistics. KW - Mathematics. KW - Statistical inference KW - Statistics, Mathematical KW - Computer mathematics KW - Discrete mathematics KW - Electronic data processing KW - Automatic drafting KW - Graphic data processing KW - Graphics, Computer KW - Artificial sampling KW - Model sampling KW - Monte Carlo simulation KW - Monte Carlo simulation method KW - Stochastic sampling KW - Statistical methods KW - Computer mathematics. KW - Statistics. KW - Computational Mathematics and Numerical Analysis. KW - Statistical Theory and Methods. KW - Computer Graphics. KW - Games of chance (Mathematics) KW - Mathematical models KW - Numerical analysis KW - Numerical calculations KW - Stochastic processes KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Computer art KW - Graphic arts KW - Engineering graphics KW - Image processing KW - Digital techniques KW - StatisticsĀ . KW - Statistical analysis KW - Statistical data KW - Statistical science KW - Econometrics KW - Monte Carlo method UR - https://www.unicat.be/uniCat?func=search&query=sysid:7689535 AB - This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo research. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. The reader will be provided with information on latest developments in these very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational problems arising, in particular, in finance, statistics and computer graphics. ER -