Nutarelli, Federico

Nutarelli, Federico  

I.M.T. (Istituzioni, Mercati, Tecnologie) Alti Studi  

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Titolo Data di pubblicazione Autore(i) File
A machine learning approach to economic complexity based on matrix completion 1-gen-2022 Gnecco, Giorgio; Nutarelli, Federico; Riccaboni, Massimo
Annuity and conditional payment schemes for the reimbursement of one-shot advanced therapies 1-gen-2025 Nutarelli, Federico; Riccaboni, Massimo
Assessing the heterogeneous impact of economy-wide shocks: a causal machine learning approach applied to Colombian firms In corso di stampa Duenas, Marco; Nutarelli, Federico; Ortiz Gimenez, Victor; Riccaboni, Massimo; Serti, Francesco
At the intersection between Machine Learning and Econometrics: theory and applications 18-gen-2022 Nutarelli, Federico
Learning Trade Opportunities through Production Network 1-gen-2024 Huremovic, Kenan; Nutarelli, Federico; Serti, Francesco; Vega-Redondo, Fernando
Market size, product recalls, and pharmaceutical innovation 1-gen-2026 Nutarelli, Federico; Riccaboni, Massimo
Matrix completion of world trade: an analysis of interpretability through Shapley values 1-gen-2023 Gnecco, Giorgio Stefano; Nutarelli, Federico; Riccaboni, Massimo
Modeling innovation ecosystem dynamics through interacting reinforced Bernoulli processes 1-gen-2025 Aletti, Giacomo; Crimaldi, Irene; Ghiglietti, Andrea; Nutarelli, Federico
On dispersion curve coloring for mechanical metafilters 1-gen-2022 Bacigalupo, Andrea; De Bellis Maria, Laura; Gnecco, Giorgio; Nutarelli, Federico
On the trade-off between number of examples and precision of supervision in machine learning problems 1-gen-2021 Gnecco, Giorgio Stefano; Nutarelli, Federico
On the trade-off between number of examples and precision of supervision in regression 1-gen-2019 Gnecco, Giorgio Stefano; Nutarelli, Federico
Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model 1-gen-2021 Gnecco, Giorgio Stefano; Nutarelli, Federico; Selvi, Daniela
Optimal trade-off between sample size and precision of supervision for the fixed effects panel data model 1-gen-2019 Gnecco, G; Nutarelli, F
Optimal trade-off between sample size, precision of supervision, and selection probabilities for the unbalanced fixed effects panel data model 1-gen-2020 Gnecco, Giorgio Stefano; Nutarelli, Federico; Selvi, Daniela
Predicting the technological complexity of global cities based on unsupervised and supervised machine learning methods 1-gen-2025 Nutarelli, Federico; Edet, Samuel; Gnecco, Giorgio Stefano; Riccaboni, Massimo
Product recalls, firm reputation, and dynamic incentives in pharmaceutical markets 1-gen-2026 Nutarelli, Federico; Dubois, Pierre
The inverse elasticity rule in pharmaceuticals: a theoretical and empirical analysis 1-gen-2025 Nutarelli, Federico; Buyukyazici, Duygu; Riccaboni, Massimo