Purpose This study illustrates the economic and financial dynamics of the sector, analysing
the evolution of the main ratios of profitability and financial structure of 1,559 Italian real …

Estimation of spatially-varying parameters for computationally expensive forward models
governed by partial differential equations (PDEs) is addressed. A novel multiscale Bayesian …

Bayesian inverse problems are often computationally challenging when the forward model
is governed by complex partial differential equations (PDEs). This is typically caused by …

Italian olive oil companies play a significant role in this nation's economy, which is among
the top in the world for its geomorphological and meteorological characteristics. This …

The aim of this paper is to investigate, through financial-statement analyzes, the economic-
financial performance of Italian hotels, after the international economic crisis, also …

We present a dimension-reduced KRnet map approach (DR-KRnet) for high-dimensional
inverse problems, which is based on an explicit construction of a map that pushes forward …

In many Bayesian inverse problems the goal is to recover a spatially varying random field.
Such problems are often computationally challenging especially when the forward model is …

Solving high-dimensional Bayesian inverse problems (BIPs) with the variational inference
(VI) method is promising but still challenging. The main difficulties arise from two aspects …

Since 2012 attention to innovative start-ups has grown in Italy. This quantitative research
analyzes the trend of the main income ratios of 673 large companies from 2014 to 2018. A …

Purpose This paper investigates the income dynamics of Italian primary sector, during and
after the international economic crisis. It focuses on three research questions: what has been …