Recent Updates

  • 2023-02-12: "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior" has been published at Econometric Reviews.
  • 2022-12-16: "A Test of Competing Theories of Attribute Normalization via a Double Decoy Effect" is now Accepted at Journal of Mathematical Psychology
  • 2022-03-04: "Associations between alcohol consumption and gray and white matter volumes in the UK Biobank" has been published at Nature Communications.
  • 2022-01-01: "Genetic Data: Potential Uses and Misuses in Marketing" has been published at the Journal of Marketing.
  • 2021-10-28: "Are genetic data predictive of taste preferences? A genome-wide study of 180,000 individuals” is now R&R at Journal of Marketing Research.
  • 2021-01-28: "Genetic underpinnings of risky behavior relate to altered neuroanatomy" has been published at Nature Human Behavior.
  • 2020-11-11: "Bayesian Deep Learning for Small Datasets: Leveraging Information from Product Pictures" is now R&R at Marketing Science.

Papers & Publications

AIST Data-Driven Insights, Decisions, and Automation with Artificial Intelligence (AI) / Statistical Modeling
CBIO Consumer Biology: Physiology, Neuroscience, and Genomics
DECI Predicting and Understanding Consumer Decisions, Cognitive Process Modeling
* for equal contribution

Accepted & Published

CBIO "From Genetics to Preferences: A Study of Food Taste",
Remi Daviet*, Gideon Nave*
Conditional Accept at Journal of Marketing Research
Preregistered
DECI "A Test of Competing Theories of Attribute Normalization via a Double Decoy Effect",
Remi Daviet*, Ryan Webb*
Journal of Mathematical Psychology, Apr. 2023 (article, latest draft, code/data)
AIST "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior",
Martin Burda*, Remi Daviet*
Econometric Reviews, Feb. 2023 (article, latest draft)
CBIO "Genetic Data: Potential Uses and Misuses in Marketing",
Remi Daviet*, Gideon Nave*, Yoram Wind
Journal of Marketing, Jan. 2022 (article, latest draft)
CBIO "Associations between alcohol consumption and gray and white matter volumes in the UK Biobank",
Remi Daviet*, Gideon Nave*, Philipp Koellinger, Reagan Wetherill et Al.
Nature Communications, Mar. 2022 (open access, supplements),
Preregistered
DECI "Genetic Underpinnings of Risky Behavior Relate to Altered Neuroanatomy",
CBIO Gökhan Aydogan, Remi Daviet, Gideon Nave, Philipp Koellinger et Al.
Nature Human Behaviour, Jan. 2021 (article, latest draft)
Preregistered
DECI "Reflecting on the Evidence: A Reply to Knight, McShane, et al. (2020)",
CBIO Gideon Nave*, Remi Daviet*, Amos Nadler, David Zava, Colin Camerer
Psychological Science, 2020;31(7):898-900 (article, supplement)

Under Review & Revision Invited

AIST "Market-Informed Product Design: A Bayesian Deep Learning Approach",
Remi Daviet, Maria Hademer
R&R at Marketing Science

Working Papers

DECI "Reference Points in Multi-Attribute Value Normalization",
Remi Daviet, Yan Zhang
Latest version
AIST "Leveraging the Social Network Structure of Influencers to Understand and Predict User Engagement",
Pankhuri Malhorta*, Remi Daviet*
(latest draft)
  • - AMA Summer Conference 2022, Best Paper in Marketing Analytics, AI, and Machine Learning
AIST "Sequential Optimal Inference for Experiments with Bayesian Particle Filters",
Remi Daviet
Reject & Resubmit (JMR), Latest version
AIST "Sequential Monte Carlo for Hierarchical Bayes with Large Datasets",
Remi Daviet
Latest version
BHGN "Multialternative Drift Diffusion Model: Estimation with Path Splitting",
Remi Daviet
Draft available on demand.
AIST "Inference with Hamiltonian Sequential Monte Carlo Simulators",
Remi Daviet
Arxiv, Latest version , C++/CUDA code

Work in Progress

AIST "Leveraging Generative AI in Digital Advertising: Visual Optimization of Ad Creatives",
Remi Daviet, Yohei Nishimura
CBIO "Age is more than just a number: Biological age and its value to consumer research",
Steven Shaw, Remi Daviet, Gideon Nave
AIST "Creating Effective Digital Ads: Automatic Bayesian Combinatorial Design",
Remi Daviet, Connor Campbell, Neil Morgan.

Thesis

"Methods for statistical analysis and prediction of discrete choices"
Published version
- Chapter 1: Attribute Divisive Normalization : A Neural Decision Model for Discrete Choice
- Chapter 2: Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior
- Chapter 3: Sequential Optimal Inference for Experiments with Sequential Monte Carlo Methods