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- New Book Provides a Collection of the Important Papers Dealing with the Theory and Application of Bayesian Bounds
- DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c80253) has announced the addition of Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking to their offering. Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book is essential to both engineers and...
- Research articles 2008-01-23
- New Book Provides a Collection of the Important Papers Dealing with the Theory and Application of Bayesian Bounds.
- M2 PRESSWIRE-22 January 2008-Research and Markets: New Book Provides a Collection of the Important Papers Dealing with the Theory and Application of Bayesian BoundsC1994-2008 M2 COMMUNICATIONS LTD RDATE:23012008 Dublin - Research and Markets (http://www.researchandmarkets.com/reports/c80256) has announced the addition...
- Research articles 2008-01-22
- 2 Bayesian prediction, entropy, and option pricing
- Abstract: This paper studies the performance of the Foster-Whiteman (1999) procedure for using a Bayesian predictive distribution for the future price of an asset to compute the price of a European option on that asset. A technical contribution of the paper is the description of a sequential importance sampling procedure...
- Research articles 2006-12-01
- Safety Impacts of "Road Diets" in Iowa
- ROAD DIETS ARE FREQUENTLY SUGGESTED SOLUTIONS TO PROBLEMS OP LEPT-TURN RELATED CRASHES. THIS FEATURE ANALYZES THE IMPACT OF THE CONVERSION OF 15 SITES USING A PULL BAYES APPROACH AS WILL AS A CLASSICAL BEFORE-AND-AFTER STUDY WITH YOKED COMPARISON SITES. THE STUDY FOUND A REIDUCTION IN THE CRASH RATE, CRASH DENSITY,...
- Research articles 2006-12-01
- Introduction to Nonparametric Regression
- Introduction to Nonparametric Regression by Kunio Takezawa. John Wiley & Sons, Inc., Hoboken, New Jersey, 2006. xviii + 568 pp. $110.THE SMOOTHING of data to discern an underlying curve or surface is a problem that has been with us as long as people have been examining time series or scatter...
- Research articles 2006-04-01
- Document image analysis by probabilistic network and circuit diagram extraction
- The paper presents a hierarchical object recognition system for document processing. It is based on a spatial tree structure representation and Bayesian framework. The image components are built up from lower level image components stored in a library. The tree representations of the objects are assembled from these components. A...
- Research articles 2005-10-01
- PHYLOGENETIC RELATIONSHIPS OF THE MADAGASCAR PYGMY KINGFISHER (ISPIDINA MADAGASCARIENSIS)
- ABSTRACT.-The avifauna of Madagascar presents a complicated taxonomic and biogeographic problem. Although Madagascar was once connected to Africa, the birds of the island are not all of African origin. The Madagascar Pygmy Kingfisher Ispidina madagascariensis is sometimes placed in the African genus Ispidina and sometimes in the Southeast Asian genus...
- Research articles 2005-10-01
- Spike and slab gene selection for multigroup microarray data.
- DNA microarrays can provide insight into genetic changes that characterize different stages of a disease process. Accurate identification of these changes has significant therapeutic and diagnostic implications. Statistical analysis for multistage multigroup data is challenging, however. ANOVA-based extensions of two-sample Z-tests, a popular method for detecting differentially expressed genes in...
- Research articles 2005-09-01
- Bayesian nonparametric spatial modeling with Dirichlet process mixing.
- Customary modeling for continuous point-referenced data assumes a Gaussian process that is often taken to be stationary. When such models are fitted within a Bayesian framework, the unknown parameters of the process are assumed to be random, so a random Gaussian process results. Here we propose a novel spatial Dirichlet...
- Research articles 2005-09-01
- Production Forecasting of Taiwan's Technology Industrial Cluster: A Bayesian Autoregression Approach
- AbstractThis study proposes a forecasting method that combines the clustering effect and non-informative diffuse-prior Bayesian vector autoregression NDBVAR model to forecast the productions of technology industries. Two empirical cases are examined to verify the proposed method: the semiconductor industry and computer manufacturing industry in Taiwan. It is found that the...
- Research articles 2005-06-01
- Y. statisticians may help Eagles' game
- PROVO -- Andy Reid, a former Brigham Young University football player who coaches the Philadelphia Eagles, hopes a couple of number- crunchers can help his bone-crunching football team dominate the NFL. Reid has asked two BYU professors to prepare a report that statistically analyzes every play, every coach's...
- Research articles 2005-01-14
- Solidary and functional costs: explaining the presidential appointment contradiction.
- ADDRESSING A CONTRADICTION There is a fundamental puzzle in the executive appointment literature. Presidential and bureaucratic scholars now argue that political appointments represent the single greatest source of presidential influence over the bureaucracy. Yet it is easy to observe that these executives tend...
- Research articles 2004-10-01
- Low carb diet: spam is on the way out.(lab data management)
- Ah, the good Reverend Thomas Bayes became one with the universe way back in 1761 but that whirring noise you hear is good old Tom's body slowly spinning in its grave. You see, Reverend Tom was not just a Man of the Cloth, he was a statistician...
- Research articles 2004-03-01
- Bayesian inference of nanoparticle-broadened x-ray line profiles
- A single-step, self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. It is shown that the crystallite-size distribution can be determined without invoking a functional form for the size distribution, determining instead the size distribution with the least assumptions by applying the...
- Research articles 2004-01-01
- Sun-Mi Lee
- Sun-Mi Lee, PhD, RN, Baltimore, MD successfully defended her dissertation, September 5, 2003, at the University of Maryland School of Nursing, Baltimore, MD. Her dissertation is entitled, "Applying Bayesian Network Approaches to Study Health Outcomes." By Susan K. Newbold, MS RNBC FAAN November 2003 updated 11/9/03
- Research articles 2003-12-22
- Detecting differentially expressed genes in microarrays using bayesian model selection.
- DNA microarrays open up a broad new horizon for investigators interested in studying the genetic determinants of disease. The high throughput nature of these arrays, where differential expression for thousands of genes can be measured simultaneously, creates an enormous wealth of information, but also poses a challenge for data analysis...
- Research articles 2003-06-01
- What is the value of agricultural economics research?
- Most economists feel their work has value, but few can say how much. Economists have made significant contributions to our understanding of the value of technology-oriented research, but have devoted little attention to assessing the benefits of social science research SSR, including agricultural economics research AER. As accountability concerns have...
- Research articles 2003-02-01
- Regression models for bivariate loss data
- ABSTRACT This case study illustrates the analysis of two possible regression models for bivariate claims data. Estimates or forecasts of loss distributions under these two models are developed using two methods of analysis: (1) maximum likelihood estimation and (2) the Bayesian method. These methods are applied to two data sets...
- Research articles 2002-10-01
- Nonlinear and Nonstationary Signal Processing. (Book Reviews). (book review)
- Nonlinear and Nonstationary Signal Processing, W. J. FITZGERALD, Richard L. SMITH, A. T. WALDEN, and Peter YOUNG editors, Cambridge, U.K.: Cambridge University Press, 2000, ISBN 0-521-80044-7, xii + 471 pp., $95.00. This collection of papers derives from a 1998 workshop held at Cambridge...
- Research articles 2002-02-01
- Bayesian model selection in finite mixtures by marginal density decompositions.(Statistical Data Included)
- Hemant Ishwaran is Associate Staff, Department of Biostatistics and Epidemiology/Wb4, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195 (E-mail: ishwaran@bio.ri.ccf.org). Lancelot James is Assistant Professor, Department of Mathematical Sciences, Johns Hopkins University, Baltimore, MD 21218 (E-mail: james@brutus.mts.jhu.edu). Jiayang Sun is Associate Professor, Department of Statistics, Case Western Reserve University,...
- Research articles 2001-12-01
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