CV available here

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 "The Value of Genetic Data in Predicting Preferences: A Study of Food Taste",
Remi Daviet*, Gideon Nave*
Forthcoming at the Journal of Marketing Research (article, code)

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 "Applications with Limited but Diverse Data: Improving Prediction and Uncertainty Estimation with Bayesian Deep Learning",
Remi Daviet
Reject and Resubmit at Marketing Science

CBIO "Biological Age and its Value to Marketing Theory and Practice",
Steven Shaw, Remi Daviet, Gideon Nave
R&R at the Journal of Marketing

AIST "Leveraging Generative AI to Create Visual Content in Digital Advertising",
Remi Daviet, Yohei Nishimura
Under review at Marketing Science (latest draft)

Working Papers

DECI "Reference Points in Multi-Attribute Value Normalization",
Remi Daviet

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 "Market-Informed Product Design: A Bayesian Deep Learning Approach",
Remi Daviet, Maria Hademer

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