Paolo Pagnottoni

Statistician, University of Insubria (Italy)

[Economia Insubria @ecoInsubria]

"How is China shaping Africa? The role of Chinese development projects on land cover transformation" by Paolo Pagnottoni (@PPagnottoni ) with Nicolò Pecora (@Unicatt), Alessandro Spelta (@unipv), Jong-Min Kim (@UMNMorris) published on Quality & Quantity.

[Economia Insubria @ecoInsubria]

"The topological structure of panel variance decomposition networks" by Paolo Pagnottoni (@PPagnottoni) w/ Alessandro Celani (@UnivPoliMarche), Paola Cerchiello (@unipv) https://t.co/htTcN3hJ0L

[Economia Insubria @ecoInsubria]

"Explainable Machine Learning for Credit Risk Management When Features are Dependent" by Thanh Thuy Do w/ Golnoosh Babaei (@unipv), Paolo Pagnottoni (@PPagnottoni) published in Measurement: Interdisciplinary Research and Perspectives. https://t.co/AkHxWQ1SVd

[Economia Insubria @ecoInsubria]

Paolo Pagnottoni (@PPagnottoni) in Palermo presenting "Feature Dependence and Prediction Explanation in P2P Lending" at the Statistics and Data Science Conference, 11-12/04. https://t.co/SOczInzoBb.

[Economia Insubria @ecoInsubria]

"Bayesian variable selection for matrix autoregressive models" by Paolo Pagnottoni (@PPagnottoni), Alessandro Celani (@UnivPoliMarche) & Galin Jones (@UMNews) published in Statistics and Computing.

https://t.co/fMi3PJFKyx

[CryptoAssetLab @CryptoAssetLab]

CAL2024 is promoted by European Commission-Joint Research Centre @EU_ScienceHub, Università Milano Bicocca @unimib, and @DigitalGoldInst itute. It focuses on bitcoin, crypto-assets, and CBDCs as investment, payments and regulatory challenges. https://t.co/6hxtwpKYo9

[DSSV ECDA 2023 @DSSV_ECDA2023]

Invited session Converging Machine Learning and Network analysis had interesting talks on citations, explainability for defaults, joint modeling of global cross-sectional dependences and NLP for cryptocurrency forecasting hosted by @SimonTrimborn and Ying Chen. #DSSVECDA

[Paolo Pagnottoni @PPagnottoni]

Matrix autoregressive models: generalization and Bayesian estimation
just published in #Studies in #Nonlinear #Dynamics and #Econometrics.

#matrix #tensor #regression; #dimensionality #reduction; #Bayesian #methods

@alecelani94
https://t.co/GlwjhbvJwc

[Royal Statistical Society @RoyalStatSoc]

Job alert: Unique PhD Graduate Rotation Program at Novartis

https://t.co/U9nITsDVLg

[Paolo Pagnottoni @PPagnottoni]

Great discussion on fresh evidence on fostering the #performance of equity #portfolios by #dynamic #XML #currency #factor #hedging @ Italian Statistical Society @SIStatistica 2023 annual meeting @Dises_Univpm
#statistics #XML #timeseries #forecasting #research

[Paolo Pagnottoni @PPagnottoni]

Research seminar today @UniLIUC on "Hedging Foreign Exchange Risk in International Equity Portfolios: A Dynamic Machine Learning Approach".

#seminar #LIUC #statistics #finance #quantitativemodelling #research #university

[Paolo Pagnottoni @PPagnottoni]

#PhysicaA: Superhighways and roads of multivariate time series shock transmission: application to cryptocurrency, carbon emission and energy prices
#finance #networks #complexsystems #timeseriesanalysis #cryptocurrency #carbonemissions #energymarkets

https://t.co/QrWtpIh3oW