José M. Vidal-Sanz

Jose M. Vidal-Sanz is a professor of marketing and market research, specializing in analytical modeling and quantitative research methods. He is an interdisciplinary researcher who began his career working in statistical methodology and theoretical econometrics, later considering topics in computational economics, management science, and numerical methods. His main research in marketing has focused on problems such as marketing mix optimization, dynamic planning and CRM, design of optimal experiments for conjoint analysis, and prediction of consumer behavior using machine learning. He is one of the co-authors of the business game and marketing simulation QUANTUM. Jose has been Vice Dean of the Business degree at the Carlos III University. He has been a visiting professor at the University of Alicante, visiting professor at Columbia University in New York City, and is a life-member of Clare Hall College at the University of Cambridge.

Fun facts: Erdös number = 5; Mathematical Genalogy (Aquí); zbMath (Aquí); Mathematical Reviews (Aquí)

ORCID: https://orcid.org/0000-0003-3750-546X

BOOKS:

• Esteban-Bravo, M.; and J. M. Vidal-Sanz (2021), Marketing Research Methods: Quantitative and Qualitative Approaches, Cambridge, UK: Cambridge University Press. Paperback ISBN: 9781108792691; Hardback ISBN: 9781108834988, Online ISBN: 9781108874748. 

BOOK CHAPTERS:

• Esteban-Bravo , Vidal-Sanz, J.M (2025): "Dirección de marketing integrando datos masivos", (in Spanish) in:  Investigación Económica con Datos Masivos, (Daniel Peña, Ed.), Handbook Fundación Ramón Areces. Ch. 6, pp. 217-261. URL (accesible online) 

ARTICLES

• Delgado, M. A.  & Vidal-Sanz, J.M. (2002): “Averaged Singular Integral Estimation as a Bias Reduction Technique”, Journal of Multivariate Analysis vol. 80 (1),127-137.
• Vidal-Sanz, J. M. & Delgado, M.A (2004): “Universal Consistency of Delta Estimators”, Annals of the Institute of Statistical Mathematics vol, 56 (4), 791-818.
• Vidal-Sanz, Jose M. (2005): "Pointwise Universal Consistency of Nonparametric Density Estimators," Bernoulli vol. 11 (6), 971-985.
• Robinson, P. M. & Vidal-Sanz, J.M. (2006): “Modified Whittle estimation of multilateral models on a lattice”, Journal of Multivariate Analysis vol. 97 (5), 1090-1120.
• Esteban-Bravo, M. & Vidal-Sanz J.M. (2006):  “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), 137-160.
• Esteban-Bravo, M. & Vidal-Sanz J.M. (2007): "Worst-Case Estimation for Econometric Models with Unobservable Components”, Computational Statistics and Data Analysis vol. 51 (7),  3330-3354.
• Múgica, J.M., Esteban-Bravo, M. & Vidal-Sanz J.M. (2005): “Optimal Duration of Magazine Promotions”, Marketing Letters vol. 16 (2), 99–114.  
• Esteban-Bravo, M. & Vidal-Sanz J.M. (2007), “Computing continuous-time growth models with boundary conditions via Wavelets”, Journal of Economics Dynamics and Control (JEDC) vol. 31 (11), 3614-3643.
• Vidal-Sanz, J.M. (2009): “Automatic Spectral Density Estimation for Random Fields on a Lattice via Bootstrap”, Test vol. 18 (1), 96-114.
• Múgica, J.M., Esteban-Bravo, M. & Vidal-Sanz J.M. (2009): "Magazine sales promotion. A dynamic response Analysis” Journal of Advertising vol. 38 (1), 137-146.
• Avagyan, V., Esteban-Bravo, M. & Vidal-Sanz J.M. (2014): "Licensing Radical Product Innovations to Speed Up their Diffusion," European Journal of Operational Research vol. 239 (1),  542-555.
• Esteban-Bravo, M., Vidal-Sanz, J.M. & Yildirim, G. (2014): " "Valuing customer portfolios with endogenous mass-and-direct marketing interventions using a Stochastic Dynamic Programming Decomposition," Marketing Science vol. 33 (5), 621 -640.
• Esteban-Bravo, M., Vidal-Sanz, J.M. & Yildirim, G. (2015): "Historical impact of technological change on the US mass media advertising expenditure," Technological Forecasting and Social Change vol. 100, 306-316.
• Avagyan, V., Esteban-Bravo, M. & Vidal-Sanz J.M. (2016): "Riding Successive Product Diffusion Waves. Building a Tsunami via Upgrade-Rebate Programs," International Journal of Research in Marketing vol. 33 (4), 780-796. 
• Esteban-Bravo, M., Leszkiewitcz, A. & Vidal-Sanz, J.M. (2017): "Exact optimal experimental designs with constraints," Statistics and Computing vol. 27 (3), 845–863.
• Esteban-Bravo, M., Vidal-Sanz, J.M. & Yildirim, G. (2017): "Can retail sales volatility be curbed through marketing actions?," Marketing Science vol. 36 (2), 232 - 253.
• Callejo, P.; A. Cuevas, R. Cuevas, M. Esteban-Bravo, J. M. Vidal-Sanz (2020): "Tracking Fraudulent and Low-Quality Display Impressions,¨ Journal of Advertising, 49 (3), 309-319.
• Esteban-Bravo, M.; Jimenez-Rubido, L. ; and J. M. Vidal-Sanz (2024), "Predicting the virality of fake news in the early stage of dissemination," Expert Systems with Applications, 248, 123390.

OTHERS

• Vidal-Sanz, J.M. (2025). "Sobre la economía y las ciencias matemáticas, físicas y naturales". Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales, serie general (RACSG), 113-(01), pp.22-39. 

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