Peter J. Danaher
Personal Details
First Name: | Peter |
Middle Name: | J. |
Last Name: | Danaher |
Suffix: | |
RePEc Short-ID: | pda636 |
[This author has chosen not to make the email address public] | |
http://www.buseco.monash.edu.au | |
Affiliation
Monash Business School
Monash University
Melbourne, Australiahttp://business.monash.edu/
RePEc:edi:fbmonau (more details at EDIRC)
Research output
Jump to: Working papers Articles ChaptersWorking papers
- Rub'en Loaiza-Maya & Michael Stanley Smith & David J. Nott & Peter J. Danaher, 2020.
"Fast and Accurate Variational Inference for Models with Many Latent Variables,"
Papers
2005.07430, arXiv.org, revised Apr 2021.
- Loaiza-Maya, Rubén & Smith, Michael Stanley & Nott, David J. & Danaher, Peter J., 2022. "Fast and accurate variational inference for models with many latent variables," Journal of Econometrics, Elsevier, vol. 230(2), pages 339-362.
- Laoucine Kerbache & Peter J. Danaher & J. Lee, 2013. "Optimal Internet Media Scheduling," Working Papers hal-00801472, HAL.
- Anastasios Panagiotelis & Michael S. Smith & Peter J Danaher, 2013.
"From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence and Visit Behavior,"
Monash Econometrics and Business Statistics Working Papers
5/13, Monash University, Department of Econometrics and Business Statistics.
- Anastasios Panagiotelis & Michael S. Smith & Peter J. Danaher, 2014. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence, and Visit Behavior," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 14-29, January.
- Laoucine Kerbache & Peter J. Danaher & Lee Janghyuk, 2010.
"Optimal Internet Media Selection,"
Post-Print
hal-00521805, HAL.
- Peter J. Danaher & Janghyuk Lee & Laoucine Kerbache, 2010. "Optimal Internet Media Selection," Marketing Science, INFORMS, vol. 29(2), pages 336-347, 03-04.
Articles
- Loaiza-Maya, Rubén & Smith, Michael Stanley & Nott, David J. & Danaher, Peter J., 2022.
"Fast and accurate variational inference for models with many latent variables,"
Journal of Econometrics, Elsevier, vol. 230(2), pages 339-362.
- Rub'en Loaiza-Maya & Michael Stanley Smith & David J. Nott & Peter J. Danaher, 2020. "Fast and Accurate Variational Inference for Models with Many Latent Variables," Papers 2005.07430, arXiv.org, revised Apr 2021.
- Danaher, Peter J. & Sajtos, Laszlo & Danaher, Tracey S., 2020. "Tactical use of rewards to enhance loyalty program effectiveness," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 505-520.
- Pallant, Jason I. & Danaher, Peter J. & Sands, Sean J. & Danaher, Tracey S., 2017. "An empirical analysis of factors that influence retail website visit types," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 62-70.
- Ferraro, Carla R. & Danaher, Tracey S. & Danaher, Peter J. & Sands, Sean J., 2017. "The Magnitude of Change Effect in Store Remodeling," Journal of Retailing, Elsevier, vol. 93(4), pages 440-457.
- Danaher, Peter J. & Sajtos, Laszlo & Danaher, Tracey S., 2016. "Does the reward match the effort for loyalty program members?," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 23-31.
- Ken Roberts & John H. Roberts & Peter J. Danaher & Rohan Raghavan, 2015. "Practice Prize Paper—Incorporating Emotions into Evaluation and Choice Models: Application to Kmart Australia," Marketing Science, INFORMS, vol. 34(6), pages 815-824, November.
- Anastasios Panagiotelis & Michael S. Smith & Peter J. Danaher, 2014.
"From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence, and Visit Behavior,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 14-29, January.
- Anastasios Panagiotelis & Michael S. Smith & Peter J Danaher, 2013. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence and Visit Behavior," Monash Econometrics and Business Statistics Working Papers 5/13, Monash University, Department of Econometrics and Business Statistics.
- Roberts John & Danaher Peter & Roberts Ken & Simpson Alan, 2012. "Jetstar Airways: How Modeling Guided the Brand Migration Strategy of a Low-Cost Carrier," NIM Marketing Intelligence Review, Sciendo, vol. 4(2), pages 42-51, November.
- Danaher, Peter & Dagger, Tracey, 2012. "Using a nested logit model to forecast television ratings," International Journal of Forecasting, Elsevier, vol. 28(3), pages 607-622.
- Peter J. Danaher & Michael S. Smith, 2011. "Rejoinder--Estimation Issues for Copulas Applied to Marketing Data," Marketing Science, INFORMS, vol. 30(1), pages 25-28, 01-02.
- Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
- Peter J. Danaher & John H. Roberts & Ken Roberts & Alan Simpson, 2011. "Practice Prize Paper --Applying a Dynamic Model of Consumer Choice to Guide Brand Development at Jetstar Airways," Marketing Science, INFORMS, vol. 30(4), pages 586-594, July.
- Raghuram Iyengar & Kamel Jedidi & Skander Essegaier & Peter J. Danaher, 2011. "The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services," Marketing Science, INFORMS, vol. 30(5), pages 820-836, September.
- Danaher, Peter J. & Dagger, Tracey S. & Smith, Michael S., 2011. "Forecasting television ratings," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1215-1240, October.
- Peter J. Danaher & Janghyuk Lee & Laoucine Kerbache, 2010.
"Optimal Internet Media Selection,"
Marketing Science, INFORMS, vol. 29(2), pages 336-347, 03-04.
- Laoucine Kerbache & Peter J. Danaher & Lee Janghyuk, 2010. "Optimal Internet Media Selection," Post-Print hal-00521805, HAL.
- Peter J. Danaher, 2007. "Modeling Page Views Across Multiple Websites with an Application to Internet Reach and Frequency Prediction," Marketing Science, INFORMS, vol. 26(3), pages 422-437, 05-06.
- Danaher, Peter J. & Hardie, Bruce G.S., 2005. "Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution," The American Statistician, American Statistical Association, vol. 59, pages 282-286, November.
- Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
- Danaher, Peter J. & Mullarkey, Guy W., 2003. "Factors Affecting Online Advertising Recall: A Study of Students," Journal of Advertising Research, Cambridge University Press, vol. 43(3), pages 252-267, September.
- Peter J. Danaher, 2002. "Optimal Pricing of New Subscription Services: Analysis of a Market Experiment," Marketing Science, INFORMS, vol. 21(2), pages 119-138, February.
- Danaher, Peter J. & Rust, Roland T., 1996. "Determining the optimal return on investment for an advertising campaign," European Journal of Operational Research, Elsevier, vol. 95(3), pages 511-521, December.
- Danaher, Peter J., 1994. "Comparing naive with econometric market share models when competitors' actions are forecast," International Journal of Forecasting, Elsevier, vol. 10(2), pages 287-294, September.
- Danaher, Peter J. & Brodie, Roderick J., 1992. "Predictive accuracy of simple versus complex econometric market share models: Theoretical and empirical results," International Journal of Forecasting, Elsevier, vol. 8(4), pages 613-626, December.
- Danaher, Peter J, 1992. "A Markov-Chain Model for Multivariate Magazine-Exposure Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 401-407, October.
Chapters
- Peter J. Danaher & Andrew T. Stephen, 2023. "Internet Marketing," World Scientific Book Chapters, in: Russell S Winer & Scott A Neslin (ed.), THE HISTORY OF MARKETING SCIENCE, chapter 16, pages 523-550, World Scientific Publishing Co. Pte. Ltd..
- Peter J. Danaher, 2017. "Advertising Effectiveness and Media Exposure," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 463-481, Springer.
- Peter J. Danaher, 2008. "Advertising Models," International Series in Operations Research & Management Science, in: Berend Wierenga (ed.), Handbook of Marketing Decision Models, chapter 0, pages 81-106, Springer.
More information
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Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-BIG: Big Data (1) 2020-05-25
- NEP-DCM: Discrete Choice Models (1) 2020-05-25
- NEP-ECM: Econometrics (1) 2020-05-25
- NEP-ETS: Econometric Time Series (1) 2020-05-25
- NEP-FOR: Forecasting (1) 2013-03-16
- NEP-IND: Industrial Organization (1) 2013-03-16
- NEP-MKT: Marketing (1) 2013-03-16
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