Ricardo Montoya - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 10 from 10

2023

Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approachVerónica Díaz, Ricardo Montoya, Sebastián Maldonado. eor, 304(2):797-812, 2023. [doi]

2019

A Hidden Markov Model to Detect On-Shelf Out-of-Stocks Using Point-of-Sale DataRicardo Montoya, Carlos Gonzalez. msom, 21(4):932-948, 2019. [doi]

2017

Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machinesJulio López, Sebastián Maldonado, Ricardo Montoya. jors, 68(11):1323-1334, 2017. [doi]

Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penaltySebastián Maldonado, Ricardo Montoya, Julio López. apin, 46(4):775-787, 2017. [doi]

2016

Contingent Preannounced Pricing Policies with Strategic ConsumersJosé Correa, Ricardo Montoya, Charles Thraves. ior, 64(1):251-272, 2016. [doi]

2015

Advanced conjoint analysis using feature selection via support vector machinesSebastián Maldonado, Ricardo Montoya, Richard Weber. eor, 241(2):564-574, 2015. [doi]

2011

The Design of Durable GoodsOded Koenigsberg, Rajeev Kohli, Ricardo Montoya. mktsci, 30(1):111-122, 2011. [doi]

2010

Package Size DecisionsOded Koenigsberg, Rajeev Kohli, Ricardo Montoya. mansci, 56(3):485-494, 2010. [doi]

Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term ProfitabilityRicardo Montoya, Oded Netzer, Kamel Jedidi. mktsci, 29(5):909-924, 2010. [doi]

2005

Linear Penalization Support Vector Machines for Feature SelectionJaime Miranda, Ricardo Montoya, Richard Weber. premi 2005: 188-192 [doi]

Sign in or sign up to see more results.

runs on WebDSL