Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

56 results for “Bayesian Approach”
Set a search alert
Research ArticleOpen accessIn the abstractAn Efficient Bayesian Nearest Neighbor Search Using Marginal Object Weight Ranking Scheme in Spatial DatabasesK. Balasaravanan, K. DuraiswamyProblem statement: A database that is optimized to store and query data that is related to objects in space, including points, lines and polygons is called spatial database. Identifying nearest neighbor object search is a vital part of spatial database. Many nearest neighbor search techniques such as Authenticated Multi-step NN (AMNN), Superseding Nearest Neighbor (SNN) search, Bayesian Nearest Neighbor (BNN) … …Journal of Computer Science, Vol. 8, Issue 8 · 30 Jul 2012 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian and Maximum Likelihood Solutions: An Asymptotic Comparison Related to Cost FunctionMechakra Hadda, Chadli Asssia, Tiah NaceurProblem statement: Wald showed that the minimax solution is the Bayesian solution with respect to the law a priori the worst. We try to establish a similar result by comparing the Bayesian solution and the solution of maximum likelihood when the parameter space is a compact metrizable group. Approach: we take as a priori law Haar measure because we reduce … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 4 Jul 2012 · 6,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Exploration of Multilocus Interactions on the Genome-Wide ScaleIvan Kozyryev, Jing ZhangProblem statement: Recent technological and scientific advances propelled the field of Genome-Wide Association Study (GWAS), which promises to be instrumental in linking many common complex diseases to their genetic origin. While so far such large-scale surveys have been moderately successful in identifying disease related genetic variants, much of disease heritability is still not accounted for by the discovered loci. There … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 2 Jul 2012 · 7,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractToward a Hierarchical Bayesian Framework for Modelling the Effect of Regional Diversity on Household ExpenditurePudji Ismartini, Nur Iriawan, Setiawan, Brodjol Sutijo Supri UlamaProblem statement: Household expenditure analysis was highly demanding for government in order to formulate its policy. Since household data was viewed as hierarchical structure with household nested in its regional residence which varies inter region, the contextual welfare analysis was needed. This study proposed to develop a hierarchical model for estimating household expenditure in an attempt to measure the effect … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 25 Jun 2012 · 7,309 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh-Order Interactions in Rheumatoid Arthritis Detected by Bayesian Method using Genome-Wide Association Studies DataJing Zhang, Zheyang Wu, Chao Gao, Michael Q. ZhangProblem statement: In order to reveal the missing genetic component of Rheumatoid Arthritis (RA) susceptibility, we carried out a genome-wide high-order epistatic interaction study for RA. Approach: A powerful Bayesian strategy was applied to analyze the data of Genome-Wide Association Studies (GWAS) from the Welcome Trust Case Control Consortium (WTCCC), where 319 high-order interactions were found across the whole genome … …Current Research in Medicine, Vol. 3, Issue 1 · 30 Mar 2012 · 8,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Framework in Repeated-Play Decision MakingYohei Kobayashi, Takemi FujikawaProblem statement: There have been much reported on decisions from experience, also referred to as decisions in a complete ignorance fashion. Approach: This note lays out a Bayesian decision-theoretical framework that provides a computable account for decisions from experience. Results: To make the framework more tractable, this note sets up and examines decisions in an incomplete ignorance fashion. The current … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 18 Feb 2012 · 6,723 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Determination of Disease Associated Differences in Haplotype BlocksIvan Kozyryev, Jing ZhangProblem statement: While experimental ascertainment of haplotype blocks in the genome-scale case-control studies is expensive, accurate computational phasing is still a daunting task for bioinformatics approaches. We used a statistical method to determine differences, potentially associated with a certain disease, in linkage disequilibrium block boundaries in whole-genome Single Nucleotide Polymorphisms (SNPs) data. Approach: We utilized a Bayesian model for calculating … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 14 Feb 2012 · 8,428 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hidden Genetic Layer Based Neural Network for Mobility PredictionL. Velmurugan, P. ThangarajProblem statement: With numerous wireless devices increasingly connecting to the internet, WLAN infrastructure planning becomes very important to maintain desired quality of services. For maintaining desired quality of service it is desirable to know the movement pattern of users. Mobility prediction involves finding the mobile device's next access point as it moves through the wireless network. Hidden Markov models and … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Changepoint Analysis of the Extreme Rainfall EventsWan Zawiah Wan Zin, Abdul Aziz Jemain, Kamarulzaman IbrahimProblem statement: This study assesses recent changes in extremes of annual rainfall in Peninsular Malaysia based on daily rainfall data for 50 rain-gauged stations over the period 1975-2004. Approach: Eight indices that represent the extreme events are defined and analyzed, which are extreme Dry Spell (XDS), extreme Rain-Sum (XRS), extreme wet-day intensities at 95% and 99% percentiles (I95 and I99), … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 6 Feb 2012 · 7,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Bayesian Method for Disentangling Dependent Structure of Epistatic InteractionJing Zhang, Qu Zhang, Darrin Lewis, Michael Q. ZhangProblem statement: We propose a Bayesian method (RBP) to recursively infer the independence structure of epistatic interactions in case-control study. Approach: Based on the results of BEAM2, RBP can powerfully detect the marginal and conditional independence within interacting SNPs even in the complicated interaction cases. Results: We did extensive simulations to test RBP and compare it with stepwise logistic regression. … …Current Research in Biostatistics, Vol. 2, Issue 1 · 13 Jan 2012 · 7,481 accessesView PDFCite