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Daniele Bianchi

Biographic Data

ID6821617
NAMEDaniele Bianchi
GIVEN NAMESDaniele
FAMILY NAMEBianchi
SIGNATUREBIANCHI D
AFFILIATIONSUniversity of California, Los Angeles
ORCID0000-0002-6621-0858
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX0
  • The High Value of Climate Mitigation in Limiting Global Fish Biomass Losses to the year 23

    Keith B Rodgers, Daniele Bianchi et al.•ARTICLE•2026

    It is widely understood that future climate change will have large deleterious impacts on marine ecosystems. Large synthesis efforts conducted to date by FishMIP with higher trophic level (HTL) models have shown that under high emissions scenarios, future fish biomass losses of the order of 20% can be expected by 2100. However, the impact of anthropogenic climate change beyond 2100 remains largely unexplored, even though policy choices made now w…

  • Potential conflicts between fishing and oceanic carbon sequestration in 15% of the ocean

    Open Access•Gael Mariani, Jérôme Guiet et al.•ARTICLE•One Earth•2025

  • Advances in understanding of air–sea exchange and cycling of greenhouse gases in the upper ocean

    Open Access•Hermann W Bange, Precious Mongwe et al.•ARTICLE•Elementa Science of the…•2024

    The air–sea exchange and oceanic cycling of greenhouse gases (GHG), including carbon dioxide (CO2), nitrous oxide (N2O), methane (CH4), carbon monoxide (CO), and nitrogen oxides (NOx = NO + NO2), are fundamental in controlling the evolution of the Earth’s atmospheric chemistry and climate. Significant advances have been made over the last 10 years in understanding, instrumentation and methods, as well as deciphering the production and consumption…

  • Variational Inference for Large Bayesian Vector Autoregressions

    Open Access•Mauro Bernardi, Daniele Bianchi et al.•ARTICLE•Journal of Business and Economic…•2024

    We propose a novel variational Bayes approach to estimate high-dimensional Vector Autoregressive (VAR) models with hierarchical shrinkage priors.Our approach does not rely on a conventional structural representation of the parameter space for posterior inference.Instead, we elicit hierarchical shrinkage priors directly on the matrix of regression coefficients so that (a) the prior structure maps into posterior inference on the reduced-form transi…

  • A natureza na mesa brasileira e na mesa europeia por meio do rótulo dos alimentos

    Open Access•Daniele Bianchi•ARTICLE•Revista Direitos Humanos e…•2023

    A indústria alimentar, por meio das técnicas elaboradas e sofisticadas de marketing, coloca-se muitas vezes na zona cinza entre o respeito da lei e o engano. O consumidor precisa ter os instrumentos para desmascarar algumas práticas, que parecem legais, mas às quais falta transparência ou mesmo parecem enganosas porque contribuem mais para fantasiar a realidade do que para informá-lo. O rótulo é a carteira de identidade do alimento. Neste trabalh…

  • Physical Characteristics and Performance Tests in Male Water Polo

    Open Access•G Melchiorri, Tamara Triossi et al.•ARTICLE•International Journal of…•2022

    The relationships between anthropometric and performance variables and the match analysis have been statistically described. The equation found can be used to predict the overall performance of a player and permits evaluations of how much the improvement in one of the qualities can affect the players' overall performance. Moreover, the new method for match analysis we have proposed showed a good reliability and can be used for new studies on wate…

  • Macroeconomic Factors Strike Back

    Daniele Bianchi, Massimo Guidolin et al.•ARTICLE•Journal of Business and Economic…•2017

    This article proposes a Bayesian estimation framework for a typical multi-factor model with time-varying risk exposures to macroeconomic risk factors and corresponding premia to price U.S. publicly traded assets. The model assumes that risk exposures and idiosyncratic volatility follow a break-point latent process, allowing for changes at any point on time but not restricting them to change at all points. The empirical application to 40 years of …

No prominent works on this page.

  • Macroeconomic Factors Strike Back

    Daniele Bianchi, Massimo Guidolin et al.•ARTICLE•Journal of Business and Economic…•2017

    This article proposes a Bayesian estimation framework for a typical multi-factor model with time-varying risk exposures to macroeconomic risk factors and corresponding premia to price U.S. publicly traded assets. The model assumes that risk exposures and idiosyncratic volatility follow a break-point latent process, allowing for changes at any point on time but not restricting them to change at all points. The empirical application to 40 years of …

  • Physical Characteristics and Performance Tests in Male Water Polo

    Open Access•G Melchiorri, Tamara Triossi et al.•ARTICLE•International Journal of…•2022

    The relationships between anthropometric and performance variables and the match analysis have been statistically described. The equation found can be used to predict the overall performance of a player and permits evaluations of how much the improvement in one of the qualities can affect the players' overall performance. Moreover, the new method for match analysis we have proposed showed a good reliability and can be used for new studies on wate…

  • A natureza na mesa brasileira e na mesa europeia por meio do rótulo dos alimentos

    Open Access•Daniele Bianchi•ARTICLE•Revista Direitos Humanos e…•2023

    A indústria alimentar, por meio das técnicas elaboradas e sofisticadas de marketing, coloca-se muitas vezes na zona cinza entre o respeito da lei e o engano. O consumidor precisa ter os instrumentos para desmascarar algumas práticas, que parecem legais, mas às quais falta transparência ou mesmo parecem enganosas porque contribuem mais para fantasiar a realidade do que para informá-lo. O rótulo é a carteira de identidade do alimento. Neste trabalh…

  • Advances in understanding of air–sea exchange and cycling of greenhouse gases in the upper ocean

    Open Access•Hermann W Bange, Precious Mongwe et al.•ARTICLE•Elementa Science of the…•2024

    The air–sea exchange and oceanic cycling of greenhouse gases (GHG), including carbon dioxide (CO2), nitrous oxide (N2O), methane (CH4), carbon monoxide (CO), and nitrogen oxides (NOx = NO + NO2), are fundamental in controlling the evolution of the Earth’s atmospheric chemistry and climate. Significant advances have been made over the last 10 years in understanding, instrumentation and methods, as well as deciphering the production and consumption…

  • Variational Inference for Large Bayesian Vector Autoregressions

    Open Access•Mauro Bernardi, Daniele Bianchi et al.•ARTICLE•Journal of Business and Economic…•2024

    We propose a novel variational Bayes approach to estimate high-dimensional Vector Autoregressive (VAR) models with hierarchical shrinkage priors.Our approach does not rely on a conventional structural representation of the parameter space for posterior inference.Instead, we elicit hierarchical shrinkage priors directly on the matrix of regression coefficients so that (a) the prior structure maps into posterior inference on the reduced-form transi…

  • Potential conflicts between fishing and oceanic carbon sequestration in 15% of the ocean

    Open Access•Gael Mariani, Jérôme Guiet et al.•ARTICLE•One Earth•2025

  • The High Value of Climate Mitigation in Limiting Global Fish Biomass Losses to the year 23

    Keith B Rodgers, Daniele Bianchi et al.•ARTICLE•2026

    It is widely understood that future climate change will have large deleterious impacts on marine ecosystems. Large synthesis efforts conducted to date by FishMIP with higher trophic level (HTL) models have shown that under high emissions scenarios, future fish biomass losses of the order of 20% can be expected by 2100. However, the impact of anthropogenic climate change beyond 2100 remains largely unexplored, even though policy choices made now w…

Mathematics (3 works) · Statistics (3 works) · Bayes factor (2 works) · Bayesian inference (2 works) · Bayesian probability (2 works) · Business (2 works) · Coastal and Marine Management (2 works) · Computer Science (2 works) · Econometrics (2 works) · Economics (2 works)

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