Marketing and Business Analytics, Statistics and Econometric Theory, Management Science, Quantitative Economics.
Jose M. Vidal-Sanz is Full Professor of Marketing and Markets Research; specialized in modelling and business analytics, social research methods, and econometric theory. His recent research in marketing has dealt with optimal marketing mix and CRM planning, risk in marketing decisions, innovation, optimal experimental design and Conjoint Analysis, among others. He has also conducted methodological research with contributions to Mathematical Statistics and Econometric Theory, and some topics related to Management Science and Numerical Methods. He is also one of the coauthors of the marketing business game QUANTUM. He has been also visiting professor at Universidad de Alicante (Spain), visiting professor at the Columbia University in the city of New York, and is a life member of the Clare Hall College in the University of Cambridge.
Esteban-Bravo, M.; and J. M. Vidal-Sanz, Marketing Research: Qualitative and Quantitative Methods, Cambridge, UK: Cambridge Univesity Press. Forthcoming January 2021. Paperback ISBN: 9781108792691; Hardback ISBN: 9781108834988, Online ISBN: 9781108874748. You can order it here.
Delgado, M. A. & Vidal-Sanz, J.M.: “Averaged Singular Integral Estimation as a Bias Reduction Technique”, Journal of Multivariate Analysis vol. 80 (1), 2002, 127-137.
Vidal-Sanz, J. M. & Delgado, M.A.: “Universal Consistency of Delta Estimators”, Annals of the Institute of Statistical Mathematics vol, 56 (4), 2004, 791-818.
Vidal-Sanz, Jose M.: "Pointwise Universal Consistency of Nonparametric Density Estimators," Bernoulli vol. 11 (6), 2005, 971-985.
Robinson, P. M. & Vidal-Sanz, J.M.: “Modified Whittle estimation of multilateral models on a lattice”, Journal of Multivariate Analysis vol. 97 (5), 2006, 1090-1120.
Esteban-Bravo, M. & Vidal-Sanz J.M.: “Valuation of boundary-linked assets by stochastic boundary value problems solved with a wavelet-collocation algorithm," Computers and Mathematics with Applications (CAMWA) vol. 52, (1-2), 2006, 137-160.
Esteban-Bravo, M. & Vidal-Sanz J.M.: "Worst-Case Estimation for Econometric Models with Unobservable Components”, Computational Statistics and Data Analysis vol. 51 (7), 2007, 3330-3354.
Esteban-Bravo, M. & Vidal-Sanz J.M., “Computing continuous-time growth models with boundary conditions via Wavelets”, Journal of Economics Dynamics and Control (JEDC) vol. 31 (11), 2007, 3614-3643.
Vidal-Sanz, J.M.: “Automatic Spectral Density Estimation for Random Fields on a Lattice via Bootstrap”, Test vol. 18 (1), 2009, 96-114.
Múgica, J.M., Esteban-Bravo, M. & Vidal-Sanz J.M.: "Magazine sales promotion. A dynamic response Analysis” Journal of Advertising vol. 38 (1), 2009, 137-146.
Avagyan, V., Esteban-Bravo, M. & Vidal-Sanz J.M.: "Licensing Radical Product Innovations to Speed Up their Diffusion," European Journal of Operational Research vol. 239 (1), 2014, 542-555.
Esteban-Bravo, M., Vidal-Sanz, J.M. & Yildirim, G.: " "Valuing customer portfolios with endogenous mass-and-direct marketing interventions using a Stochastic Dynamic Programming Decomposition," Marketing Science vol. 33 (5), 2014, 621 -640.
Esteban-Bravo, M., Vidal-Sanz, J.M. & Yildirim, G.: "Historical impact of technological change on the US mass media advertising expenditure," Technological Forecasting and Social Change vol. 100, 2015, 306-316.
Avagyan, V., Esteban-Bravo, M. & Vidal-Sanz J.M.: "Riding Successive Product Diffusion Waves. Building a Tsunami via Upgrade-Rebate Programs," International Journal of Research in Marketing vol. 33 (4), 2016, 780-796.
Esteban-Bravo, M., Leszkiewitcz, A. & Vidal-Sanz, J.M.: "Exact optimal experimental designs with constraints," Statistics and Computing vol. 27 (3), 2017, 845–863.
Esteban-Bravo, M., Vidal-Sanz, J.M. & Yildirim, G.: ""Can retail sales volatility be curbed through marketing actions?,"?," Marketing Science vol. 36 (2), 2017, 232 - 253.
Callejo, P.; A. Cuevas, R. Cuevas, M. Esteban-Bravo, J. M. Vidal-Sanz, "Tracking Fraudulent and Low-Quality Display Impressions,¨ Journal of Advertising, 49 (3), 2020, 309-319.