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There are 5059432 results for: content related to: Discussion on ‘Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling’ by Sujit Kumar Sahu and Khandoker Shuvo Bakar

  1. Discussions on ‘Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling’ by S. K. Sahu and K. S. Bakar

    Applied Stochastic Models in Business and Industry

    Volume 28, Issue 5, September/October 2012, Page: 416, Debasis Kundu

    Version of Record online : 17 SEP 2012, DOI: 10.1002/asmb.1942

  2. Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling by Sujit Kumar Sahu and Khandoker Shuvo Bakar: Rejoinder

    Applied Stochastic Models in Business and Industry

    Volume 28, Issue 5, September/October 2012, Pages: 418–419,

    Version of Record online : 12 OCT 2012, DOI: 10.1002/asmb.1952

  3. A spatiodynamic model for assessing frost risk in south-eastern Australia

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 64, Issue 5, November 2015, Pages: 755–778, K. Shuvo Bakar, Philip Kokic and Huidong Jin

    Version of Record online : 29 APR 2015, DOI: 10.1111/rssc.12103

  4. Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling

    Applied Stochastic Models in Business and Industry

    Volume 28, Issue 5, September/October 2012, Pages: 395–415, Sujit Kumar Sahu and Khandoker Shuvo Bakar

    Version of Record online : 12 OCT 2012, DOI: 10.1002/asmb.1951

  5. You have free access to this content
    Special Issue on ‘Statistical Models for e-BusinessApplied Stochastic Models in Business and Industry

    Applied Stochastic Models in Business and Industry

    Volume 22, Issue 5-6, September - December 2006, Page: 639,

    Version of Record online : 20 DEC 2006, DOI: 10.1002/asmb.662

  6. You have free access to this content
    Front Matter

    Discrete-time Asset Pricing Models in Applied Stochastic Finance

    P-C.G. Vassiliou, Pages: i–xiv, 2013

    Published Online : 7 MAR 2013, DOI: 10.1002/9781118557860.fmatter

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    The Separating Hyperplane Theorem in ℝn

    Discrete-time Asset Pricing Models in Applied Stochastic Finance

    P-C.G. Vassiliou, Pages: 391–394, 2013

    Published Online : 7 MAR 2013, DOI: 10.1002/9781118557860.app2

  8. You have free access to this content
    Issue Information - Info page

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 1, January/February 2016, Page: 2,

    Version of Record online : 26 JAN 2016, DOI: 10.1002/asmb.2131

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    Call for Papers: Special issue on fusion inference

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 1, January/February 2016, Page: 149,

    Version of Record online : 10 JAN 2016, DOI: 10.1002/asmb.2153

  10. Applied stochastic models and data analysis. Special Issue on Finance

    Applied Stochastic Models and Data Analysis

    Volume 8, Issue 3, September 1992, Page: i, Jacques Janssen

    Version of Record online : 1 SEP 2006, DOI: 10.1002/asm.3150080302

  11. Probability and Random Variables

    Discrete-time Asset Pricing Models in Applied Stochastic Finance

    P-C.G. Vassiliou, Pages: 1–48, 2013

    Published Online : 7 MAR 2013, DOI: 10.1002/9781118557860.ch1

  12. Martingales

    Discrete-time Asset Pricing Models in Applied Stochastic Finance

    P-C.G. Vassiliou, Pages: 163–194, 2013

    Published Online : 7 MAR 2013, DOI: 10.1002/9781118557860.ch5

  13. Credit Risk

    Discrete-time Asset Pricing Models in Applied Stochastic Finance

    P-C.G. Vassiliou, Pages: 323–354, 2013

    Published Online : 7 MAR 2013, DOI: 10.1002/9781118557860.ch9

  14. Comment on market segmentation for customer satisfaction studies via a new latent structure multidimensional scaling model

    Applied Stochastic Models in Business and Industry

    Volume 21, Issue 4-5, July - October 2005, Page: 311, Donald F. Falkinburg

    Version of Record online : 4 AUG 2005, DOI: 10.1002/asmb.555

  15. List of reviewers

    Applied Stochastic Models in Business and Industry

    Volume 21, Issue 4-5, July - October 2005, Page: 481,

    Version of Record online : 4 AUG 2005, DOI: 10.1002/asmb.595

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    The Evolution of Stochastic Mathematics that Changed the Financial World

    Discrete-time Asset Pricing Models in Applied Stochastic Finance

    P-C.G. Vassiliou, Pages: 374–390, 2013

    Published Online : 7 MAR 2013, DOI: 10.1002/9781118557860.app1

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    Issue Information - TOC

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 1, January/February 2016, Page: 1,

    Version of Record online : 26 JAN 2016, DOI: 10.1002/asmb.2130

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    Issue Information

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 3, May/June 2016, Pages: 307–308,

    Version of Record online : 15 JUN 2016, DOI: 10.1002/asmb.2134

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    Issue Information

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 5, September/October 2016, Pages: 555–556,

    Version of Record online : 6 OCT 2016, DOI: 10.1002/asmb.2138

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    Introducing ‘Applied Stochastic Models in Business and Industry’

    Applied Stochastic Models in Business and Industry

    Volume 15, Issue 2, April/June 1999, Pages: 87–88, Nick Fisher, Robert Lund, Shunji Osaki, Wolfgang Polasek, Charles Tapiero, Jef L. Teugels and Rainer Winkelmann

    Version of Record online : 15 OCT 1999, DOI: 10.1002/(SICI)1526-4025(199904/06)15:2<87::AID-ASMB381>3.0.CO;2-Z