Implementing a hierarchical deep learning approach for simulating multilevel auction data
Year of publication: |
[2023]
|
---|---|
Authors: | Sadoune, Igor ; Joanis, Marcelin ; Lodi, Andrea |
Publisher: |
[Montréal] : CIRANO |
Subject: | simulation crafting | discrete deep generative modeling | multilevel discrete data | auction data | Simulation | Auktionstheorie | Auction theory | Auktion | Auction |
-
Electricity price forecasting using sale and purchase curves : the X-Model
Ziel, Florian, (2016)
-
A structural estimation approach to an asymmetric auction model for the Japanese retail power market
Takagi, Shingo, (2019)
-
Do spot market auction data help price discovery?
Fernandez-Perez, Adrian, (2023)
- More ...
-
On Deep Generative Modeling in Economics : An Application with Public Procurement Data
Joanis, Marcelin, (2022)
-
Algorithmic collusion and the minimum price Markov game
Sadoune, Igor, (2025)
-
Elections and de facto Expenditure Decentralization in Canada
Jametti, Mario, (2014)
- More ...