Interdisciplinary Bayesian Statistics by Marcelo De Souza Lauretto
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Interdisciplinary Bayesian Statistics

Interdisciplinary Bayesian Statistics


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About the Book

What About the Posterior Distributions When the Model is Non-dominated.- Bayesian Learning of Material Density Function by Multiple Sequential Inversions of 2-D Images in Electron Microscopy.- Problems with Constructing Tests to Accept the Null Hypothesis.- Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Munchhausen's Trilemma.- A maximum entropy approach to learn Bayesian networks from incomplete data.- Bayesian Inference in Cumulative Distribution Fields.- MCMC-Driven Adaptive Multiple Importance Sampling.- Bayes Factors for comparison of restricted simple linear regression coefficients.- A Spanning Tree Hierarchical Model for Land Cover Classification.- Nonparametric Bayesian regression under combinations of local shape constraints.- A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight.- Homogeneity tests for 22 contingency tables.- Combining Optimization and Randomization Approaches for the Design of Clinical Trials.- Factor analysis with mixture modeling to evaluate coherent patterns in microarray data.


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Product Details
  • ISBN-13: 9783319352688
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: Springer Proceedings in Mathematics & Statistics
  • Language: English
  • Returnable: Y
  • Spine Width: 20 mm
  • Weight: 589 gr
  • ISBN-10: 3319352687
  • Publisher Date: 05 Oct 2016
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 366
  • Series Title: Springer Proceedings in Mathematics & Statistics
  • Sub Title: Ebeb 2014
  • Width: 156 mm


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Interdisciplinary Bayesian Statistics
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