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I focus on understanding and predicting decisions using quantitative modeling and advanced statistics / machine learning. My models of decision-making rely on insights from many fields: Neuroscience, Cognitive and Mathematical Psychology, Genomics, Economics and Computer Science.
- Econometrics / Machine Learning
- Neural Networks
- Bayesian Methods and Computational Statistics
- Big Data and High Performance Computing (HPC)
- Quantitative Marketing
- Demand analysis
- Quantitative Behavioral Modelization and Decision Processes
- Consumer Neuroscience and Consumer Genomics
- Behavioral Neuro-Genomics
Work in Progress
"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",
"Bayesian Non Parametric Inference For Discrete Choice Experiments Using Multi-Dimensional Clustering",
Remi Daviet, William J. McCausland
Papers and publications
"The Consumer DNA Revolution : Why Marketers Should Care About Genomic Data",
Remi Daviet, Gideon Nave, Yoram Wind
Submitted, draft available on demand.
"Set-wise Attribute Normalization : A Neural Decision Model for Discrete Choice",
from 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
"Sequential Optimal Inference for Experiments with Bayesian Particle Filters",
"Sequential Monte Carlo for Hierarchical Bayes with Large Datasets",
"Multialternative Drift Diffusion Model: Estimation with Hit and Run Particles",
Draft available on demand.
In Behavioral Neuro-Genomics and Consumer Neuroscience
"Genetic underpinnings of risky behavior relate to altered neuroanatomy",
Gökhan Aydogan, Remi Daviet, Gideon Nave, Philipp Koellinger et Al.
Submitted, Latest versioon, Pre-registered with the Open Science Framework
"Multimodal population brain imaging in the UK Biobank reveals new associations between alcohol intake and brain structure",
Remi Daviet, Gideon Nave, Philipp Koellinger, Reagan Wetherill et Al.
Draft available on request, Pre-registered with the Open Science Framework
"Methods for statistical analysis and prediction of discrete choices"
- 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