Recent Updates

  • 2022-05-24: "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior" has been conditionally accepted at Econometric Reviews.
  • 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

AIST "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior",
Martin Burda*, Remi Daviet*
Econometric Reviews (conditionally accepted), May 2022 (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)

Revision Invited

AIST "Bayesian Deep Learning for Small Datasets: Leveraging Information from Product Pictures",
Remi Daviet
R&R at Marketing Science
CBIO "Are genetic data predictive of taste preferences? A genome-wide study of 180,000 individuals",
Remi Daviet, Gideon Nave
R&R at Journal of Marketing Research
DECI "Social Preference Estimation Using Adaptive Experimental Design",
Taisuke Imai, Devdeepta Bose, Remi Daviet, Gideon Nave, Colin Camerer
R&R at Experimental Econ., Submitted for pre-results review.

Working Papers

DECI "Neural Attribute Normalization: An Application to Product Portfolio Optimization",
Remi Daviet
Latest version
AIST "Sequential Optimal Inference for Experiments with Bayesian Particle Filters",
Remi Daviet
Reject & Resubmit (JMR), Latest version
AIST "A Test of Competing Theories of Attribute Normalization via a Double Decoy Effect",
Remi Daviet*, Ryan Webb*
Draft available on demand.
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

CBIO "Age is more than just a number: Biological age and its value to consumer research",
Steven Shaw, Remi Daviet, Gideon Nave
Latest version
AIST "The Face of Your Brand: Automated Model Casting and Visual Enhancement for Advertising",
Remi Daviet, Gideon Nave.
DECI "Foundations of the Decoy Effect: Putting Theory to the Test",
Ulrich Bergmann, Remi Daviet, Ernst Fehr
DECI "How Beliefs About Attributes Affect Product Value Perception",
Remi Daviet, Lin Fei.

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