Contact information

Wharton Marketing Department
JMHH 700, 3730 Walnut Street
Philadelphia, PA 19104


Research interests

  • Econometrics
    • Bayesian Econometrics
    • 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
    • Behavioral Models
  • Behavioral Neuro-Genomics

Current work

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", Remi Daviet, Martin Burda

"Dynamic Optimal Sequential Inference for Experiments: An Application to Multi-Attribute Choice", Remi Daviet, Ryan Webb
In Progress

"The Hit and Run Method for Drift Diffusion Models estimation" , Remi Daviet
Code available on request

In Methodology

"Sequential Optimal Inference for Experiments with Bayesian Particle Filters", Remi Daviet
Draft and Code available on request

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

"Inference with Hamiltonian Sequential Monte Carlo Simulators"
Paper (updated: Dec 2018) , C++/CUDA code

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

In Behavioral Neuro-Genomics

"The Relationships between Anatomical Brain Structure and Risky Behaviors", Gökhan Aydogan, Remi Daviet, Gideon Nave, Philipp Koellinger et Al.
Pre-registered with the Open Science Framework