Modelling Consumer Preferences for Roses

加拿大苗圃景观协会（CNLA）与Vineland研究和创新中心（Vineland）合作培育加拿大耐寒玫瑰，并计划每两年发布一个新品种。**CNLA需要消费者的见解来帮助指导交叉育种的玫瑰品种选择，并最终告知**苗圃种植者应该从**当前的育种计划和外部来源中选择哪些品种，以更好地满足市场需求。拟议中的研究**将邀请麦克马斯特大学的研究人员开发计算统计技术，以帮助**更好地了解消费者对玫瑰的偏好，并最终从这些研究中提取更大的价值。将开发的新型计算统计技术将使用潜在变量模型揭示玫瑰市场中以前未被注意到的模式和消费者亚群。此外，研究结果也可以应用于各种各样的其他消费者科学应用，在这些应用中经常使用分类数据

The Canadian Nursery Landscape Association (CNLA) in partnership with Vineland Research and Innovation**Centre (Vineland) are breeding Canadian Hardy Roses with a plan to release a new variety every two years.**CNLA requires consumer insights to help guide the selection of rose species for cross-breeding and, ultimately,**to inform decision-making regarding which roses nursery growers should carry in their catalogues both from**the current breeding program and from outside sources, to better meet market needs. The proposed research**will engage researchers from McMaster University to develop computational statistics techniques to help better**understand consumer preferences for roses and, ultimately, to extract greater value from these studies. The**novel computational statistics techniques that will be developed will uncover previously unnoticed patterns and**consumer subgroups in the rose market using latent variable models. Furthermore, the findings can also be**applied to a diverse range of other consumer science applications where categorical data is used frequently