Search Results - "Casarin, Roberto"
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Bayesian Graphical Models for STructural Vector Autoregressive Processes
Published in Journal of applied econometrics (Chichester, England) (01-03-2016)“…This paper proposes a Bayesian, graph-based approach to identification in vector autoregressive (VAR) models. In our Bayesian graphical VAR (BGVAR) model, the…”
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Time-varying combinations of predictive densities using nonlinear filtering
Published in Journal of econometrics (01-12-2013)“…We propose a Bayesian combination approach for multivariate predictive densities which relies upon a distributional state space representation of the…”
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Being on the field when the game is still under way. The financial press and stock markets in times of crisis
Published in PloS one (05-07-2013)“…This paper looks at the relationship between negative news and stock markets in times of global crisis, such as the 2008/2009 period. We analysed one year of…”
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Measuring daily tourism mobility spillover at the intra-metropolis level with mobile positioning data
Published in Regional studies, regional science (31-12-2024)“…Although tourism mobility spillover continues to be a key indicator for tourism management, more innovative research must be conducted at the micro level and…”
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Forecasting Economic Indicators with Robust Factor Models
Published in National accounting review (01-01-2022)“…Outliers can cause significant errors in forecasting, and it is essential to reduce their impact without losing the information they store. Information loss…”
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Adaptive independent sticky MCMC algorithms
Published in EURASIP journal on advances in signal processing (11-01-2018)“…Monte Carlo methods have become essential tools to solve complex Bayesian inference problems in different fields, such as computational statistics, machine…”
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Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB Toolbox
Published in Journal of statistical software (01-11-2015)“…This paper presents the MATLAB package DeCo (density combination) which is based on the paper by Billio, Casarin, Ravazzolo, and van Dijk (2013) where a…”
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What makes a tweet be retweeted? A Bayesian trigram analysis of tweet propagation during the 2015 Colombian political campaign
Published in Journal of information science (01-06-2021)“…This article proposes the use of computationally efficient inverse regression Bayesian method for analysis of tweet propagation of political messages. Our…”
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Decrypting Financial Markets through E-Joint Attention Efforts: On-Line Adaptive Networks of Investors in Periods of Market Uncertainty
Published in PloS one (05-08-2015)“…This paper looks at 800,000 messages on the Unicredit stock, exchanged by 7,500 investors in the Finanzaonline.com forum, between 2005 and 2012 and measured…”
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10
A Matrix-Variate t Model for Networks
Published in Frontiers in artificial intelligence (13-05-2021)“…Networks represent a useful tool to describe relationships among financial firms and network analysis has been extensively used in recent years to study…”
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Correction: Decrypting Financial Markets through E-Joint Attention Efforts: On-Line Adaptive Networks of Investors in Periods of Market Uncertainty
Published in PloS one (28-09-2015)Get full text
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Bayesian calibration of generalized pools of predictive distributions
Published in Econometrics (01-03-2016)“…Decision-makers often consult different experts to build reliable forecasts on variables of interest. Combining more opinions and calibrating them to maximize…”
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Replacing animal fat with gels of psyllium fiber and combined linseed oil-psyllium fiber in salamis: impacts on technological, nutritional, oxidative, and sensory properties
Published in Foods (21-06-2023)“…This study produced two gels: one solely using psyllium fiber (GP) and another combining this fiber with linseed oil (GL+P). Both gels replaced 15% and 30% of…”
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Sparse Graphical Vector Autoregression: A Bayesian Approach
Published in Annals of economics and statistics (01-12-2016)“…This paper considers a sparsity approach for inference in large vector autoregressive (VAR) models. The approach is based on a Bayesian procedure and a…”
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15
Bayesian Nonparametric Calibration and Combination of Predictive Distributions
Published in Journal of the American Statistical Association (03-04-2018)“…We introduce a Bayesian approach to predictive density calibration and combination that accounts for parameter uncertainty and model set incompleteness through…”
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Bayesian Markov-Switching Tensor Regression for Time-Varying Networks
Published in Journal of the American Statistical Association (02-01-2024)“…Modeling time series of multilayer network data is challenging due to the peculiar characteristics of real-world networks, such as sparsity and abrupt…”
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Computational complexity and parallelization in Bayesian econometric analysis
Published in Econometrics (01-03-2016)“…Challenging statements have appeared in recent years in the literature on advances in computational procedures.[...]…”
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Bayesian nonparametric sparse VAR models
Published in Journal of econometrics (01-09-2019)“…High dimensional vector autoregressive (VAR) models require a large number of parameters to be estimated and may suffer of inferential problems. We propose a…”
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Markov switching GARCH models for Bayesian hedging on energy futures markets
Published in Energy economics (01-02-2018)“…Effective hedging strategies on oil spot and future markets are relevant in reducing price volatility for investors, energy traders and companies operating in…”
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Generalized Poisson difference autoregressive processes
Published in International journal of forecasting (01-10-2024)“…This paper introduces a novel stochastic process with signed integer values. Its autoregressive dynamics effectively captures persistence in conditional…”
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