CV

An updated version can be found here

Research interests

  • Econometrics / Machine Learning
    • Bayesian Methods
    • Clustering and latent features models
    • Sequential Monte Carlo (SMC) / Markov Chain Monte Carlo (MCMC) simulation
    • Big Data and High Performance Computing (HPC)
  • Quantitative Marketing
    • Discrete Choice
    • Quantitative Behavioral Modelization
    • Consumer Neuroscience
  • Behavioral Neuro-Genomics

Work in Progress

"The Consumer DNA Revolution : Why Marketers Should Care About Genomic Data", Remi Daviet, Gideon Nave, Yoram Wind

"Foundations of the Decoy Effect: Putting Theory to the Test", Ulrich Bergmann, Remi Daviet, Ernst Fehr

"Analyzing Normalization Models of Choice with Sequential Optimal Inference", Remi Daviet, Ryan Webb

"Bayesian Non Parametric Inference For Discrete Choice Experiments Using Multi-Dimensional Clustering", Remi Daviet, William J. McCausland
Extended abstract

"Big Data for Demand Estimation: a Bi-Clustering Approach", Remi Daviet, Christian Gourieroux
Draft available on request

Papers and publications

In Marketing

"Attributes Neural Normalization and Context Effect: A Hierarchical Bayes Application", Remi Daviet
Thesis Chapter, available on request

"Hamiltonian Sequential Monte-Carlo: Application to Consumer Demand", Martin Burda, Remi Daviet
R&R, Latest version

"Double Decoys and a Possible Parameterization: Empirical Analyses of Pairwise Normalization", Remi Daviet, Ryan Webb
Latest version

In Methodology

"Sequential Optimal Inference for Experiments with Bayesian Particle Filters", Remi Daviet
Submitted, Latest version

"Sequential Monte Carlo for Hierarchical Bayes with Large Datasets", Remi Daviet
Latest version

"Multialternative Drift Diffusion Model: Estimation with Hit and Run Particles", Remi Daviet
Draft and code available on demand

"Inference with Hamiltonian Sequential Monte Carlo Simulators", Remi Daviet
Latest version , C++/CUDA code

In Behavioral Neuro-Genomics and Consumer Neuroscience

"The Consumer DNA Revolution: Why Marketers Should Care About Genomic Data", Remi Daviet, Gideon Nave, Yoram Wind
Draft available on request

"Neuroanatomic Differences Partly Mediate Genetic Associations with Risk Tolerance", Gökhan Aydogan, Remi Daviet, Gideon Nave, Philipp Koellinger et Al.
Draft available on request, Pre-registered with the Open Science Framework

"Causal Pathways in Brain Structure and Alcohol Consumption", Remi Daviet, Reagan Wetherill, Gideon Nave, Philipp Koellinger et Al.
Draft available on request, Pre-registered with the Open Science Framework

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