Все публикации

Mixtures: introduction

Sampling: weighted exogenous maximum likelihood estimation

Sampling: conditional maximum likelihood estimation

Sampling: maximum likelihood estimation

Sampling strategies: an example

Sampling strategies

The cross-nested logit model

The nested logit model

The red bus-blue bus paradox

Variance reduction methods

Statistical Analysis and Bootstrapping

Discrete Events Simulation

Online courses on optimization: description of the courses

Online courses on optimization: the teaser

My first choice model with PandasBiogeme 3.2.6

My first choice model with PandasBiogeme 3.2.6

Optimization and Simulation. Markov Chain Monte Carlo. Part 7

Optimization and Simulation. Markov Chain Monte Carlo. Part 6

Optimization and Simulation. Markov Chain Monte Carlo. Part 5

Optimization and Simulation. Markov Chain Monte Carlo. Part 4

Optimization and Simulation. Markov Chain Monte Carlo. Part 3

Optimization and Simulation. Markov Chain Monte Carlo. Part 2

Optimization and Simulation. Markov Chain Monte Carlo. Part 1

Optimization and simulation. Multi-objective optimization - part 3