Ricardo Montoya

forthcoming | Breakage Analysis for Profitability Management in High-Value, Low-Frequency Loyalty Programs

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• Goic, M., Montoya, R., Troncoso, I.

2023 | Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach

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• Maldonado, S., Diaz, V., Montoya, R.

2021 | Drivers of customer satisfaction in the grocery retail industry: A longitudinal analysis across store formats

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• Goić, M., Levenier, C., Montoya, R.

2021 | Components of Attentional effort for repeated tasks

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• Meißner, M., Musalem, A., Huber, J., Montoya, R.

2019 | Buying free rewards: the impact of a points-plus-cash promotion on purchase and reward redemption

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• Flores, C., Montoya, R.

2019 | A hidden Markov model to detect on-shelf out-of-stocks using point-of-sale data

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• Montoya, R., Gonzalez, C.

2018 | The effect of house ads on multichannel sales

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• Goic, M., Álvarez, R., Montoya, R.

2017 | Embedded heterogeneous feature selection for conjoint analysis: a SVM approach using L1 penalty

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• Maldonado, S., López, J, Montoya, R.

2017 | Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines

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• Maldonado, S., López, J. , Montoya, R

2016 | Dynamic marketing mix allocation for long-term profitability

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• Jedidi, K., Netzer, O., Montoya, R

2016 | Contingent preannounced pricing policies with strategic consumers

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• Thraves, Ch., Correa, J., Montoya, R.

2015 | Advanced conjoint analysis using feature selection via support vector machines

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• Weber, R., Maldonado, S., Montoya, R.

2012 | Dynamic learning in behavioral games: A hidden Markov mixture of experts approach

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• Ansari, A., Netzer, O., Montoya, R

2011 | The design of durable goods

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• Koenigsberg, O., Kohli, R., Montoya, R.

2010 | Dynamic allocation of pharmaceutical detailing and sampling for long-term profitability

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• Netzer, O., Jedidi, K., Montoya, R

2010 | Package sizes decisions

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• Koenigsberg, o., Kohli, R., Montoya, R.

2005 | Linear penalization support vector machines for feature selection

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• Miranda, J., Weber, R., Montoya, R.

El algoritmo, ¿aprueba o rechaza?

Casi 40 universidades se unen para crear la mayor institución de análisis de datos

Conozca tres proyectos que usan el computador más potente de Chile