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ORCIDJuan P. Madrigal-Cianci
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2020 – today
- 2023
[j2]Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis-Hastings. SIAM/ASA J. Uncertain. Quantification 11(1): 91-138 (2023)- [i4]Kiran Karra, Tom Mellan, Maria Silva, Juan P. Madrigal-Cianci, Axel Cubero Cortes, Zixuan Zhang:
An Agent-Based Model Framework for Utility-Based Cryptoeconomies. CoRR abs/2307.15200 (2023) - [i3]Axel Cortes-Cubero, Juan P. Madrigal-Cianci, Kiran Karra, Zixuan Zhang:
Smoothening block rewards: How much should miners pay for mining pools? CoRR abs/2309.02297 (2023) - 2022
- [c2]Jesper Kristensen, Juan P. Madrigal-Cianci, Giorgos Felekis, Maria Liatsikou:
Cryptocurrency Price Prediction With Multi-task Multi-step Sequence-to-Sequence Modeling. Blockchain 2022: 53-60 - [c1]Juan P. Madrigal-Cianci, Jesper Kristensen:
Time-efficient Decentralized Exchange of Everlasting Options with Exotic Payoff Functions. Blockchain 2022: 427-434 - 2021
- [j1]Jonas Latz, Juan P. Madrigal-Cianci
, Fabio Nobile, Raúl Tempone:
Generalized parallel tempering on Bayesian inverse problems. Stat. Comput. 31(5): 67 (2021) - [i2]Juan Pablo Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings. CoRR abs/2105.02035 (2021) - 2020
- [i1]Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Generalized Parallel Tempering on Bayesian Inverse Problems. CoRR abs/2003.03341 (2020)
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