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Uncertainty quantification (UQ) is a mainstream research topic in applied mathematics and statistics. To identify UQ problems, diverse modern techniques for large and complex data analyses have been developed in applied mathematics, computer science, and statistics. This Special Issue of Mathematics (ISSN 2227-7390) includes diverse modern data analysis methods such as skew-reflected-Gompertz information quantifiers with application to sea surface temperature records, the performance of variable selection and classification via a rank-based classifier, two-stage classification with SIS using a new filter ranking method in high throughput data, an estimation of sensitive attribute applying geometric distribution under probability proportional to size sampling, combination of ensembles of regularized regression models with resampling-based lasso feature selection in high dimensional data, robust linear trend test for low-coverage next-generation sequence data controlling for covariates, and comparing groups of decision-making units in efficiency based on semiparametric regression.

Kullback–Leibler divergence --- geometric distribution --- accuracy --- AUROC --- allele read counts --- mixture model --- low-coverage --- entropy --- gene-expression data --- SCAD --- data envelopment analysis --- LASSO --- high-throughput --- sandwich variance estimator --- adaptive lasso --- semiparametric regression --- ?1 lasso --- Laplacian matrix --- elastic net --- feature selection --- sea surface temperature --- gene expression data --- Skew-Reflected-Gompertz distribution --- lasso --- next-generation sequencing --- BH-FDR --- stochastic frontier model --- ?2 ridge --- geometric mean --- resampling --- Gompertz distribution --- adapative lasso --- group efficiency comparison --- sensitive attribute --- MCP --- probability proportional to size (PPS) sampling --- randomization device --- SIS --- Yennum et al.’s model --- ensembles

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Achieving success along the entire production and supply chain of a dairy sector depends explicitly on adopting a sustainable 'state of the art' approach. In this regard, understanding key sustainability indicators and challenges with a holistic approach is vital. Appropriate design, application of novel technologies, implementation of life cycle analysis, upgradation and optimization of the entire production line are some of the key factors to be measured. In addition, it is vital that due consideration is given to demands of the producers, consumers, and dependent industries. Nevertheless, concern for the environment, social security and economy of the region should not be ignored. Precise planning ('on-farm' and 'off-farm') assumes importance especially when circular economy strategies needs to be considered. With these as background, this book is focused towards identifying present opportunities and overcoming future sustainability challenges in the global dairy sector.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- dairy --- water --- review --- modelling --- water footprint --- agriculture --- feed additive --- methane mitigation --- enteric emissions --- greenhouse gas --- climate change --- LCA --- environmental impacts --- intensification --- technical efficiency --- four-component model --- endogeneity --- input distance function --- meta-frontier --- stochastic frontier analysis --- dairy processing industry --- European Union --- proanthocyanidins --- condensed tannins --- secondary plant metabolites --- methane --- ruminants --- farm --- organization --- governance --- adoption --- agroecology --- practices --- regulation --- Brazil --- ammonia emissions --- dairy cow --- flushing --- freestall barn --- scraping --- heat pump --- dairy farming --- water heater --- ASHP --- ASHPWH --- usable water --- emissions --- sustainability --- farm type --- sustainable management --- small-/medium-scale animal farms --- food science --- customer experience design --- food well-being --- food psychology --- hedonia --- eudaimonia --- meaningful consumption --- artisan products --- local food --- profit cows --- economic sustainability --- knowledge transfer --- production disease --- production disease economics --- emission factor --- enteric fermentation --- gross energy --- milking cows --- dairy industry --- supply chain management --- safety failure factors --- interpretive structural modeling --- MICMAC analysis --- agro-livestock sector --- GHG emissions

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This book comprises a collection of empirical and theoretical studies covering a wide range of themes related to bank management, finance and sustainability. Sustainability represents an opportunity for banks as it contributes to improvements in trust in the banking system. However, sustainable business models must be financially viable so that they can have a positive impact on banks’ profitability, stimulating the long-term growth and resilience of the banking industry and overall financial stability.Banks are widely acknowledged as playing a crucial role in achieving the Sustainable Development Goals (SDGs), as they can promote responsible investments and integrate environmental and social criteria into lending and investment strategies. Financial intermediaries can support projects and activities that create a measurable positive economic, social and environmental impact by providing easier access to capital. Furthermore, they can have an active role in improving the financial awareness, inclusion and resilience of the most vulnerable individuals in society.

firm’s financial performance --- sustainability practices --- Islamic corporate governance --- mobile money --- SMEs --- financial performance --- payments and receipts --- Douala, Cameroon --- human capital --- social capital --- credit availability --- propensity score matching --- China --- risk tolerance --- risk aversion --- risk-taking --- MiFID II --- MiFIR --- suitability assessment --- households --- risky financial assets --- financial institutions --- financial advisory --- portfolio management --- financial constraints --- sustainable development --- ownership structure --- state subsidies --- former communist bloc --- institutional environment --- financial system --- corporate social responsibility --- CSR rating --- bank loan spread --- European syndicated loan market --- content analysis --- ethical banking --- global financial crisis --- hierarchical cluster analysis --- inductive category development --- in-depth interviews --- social banking --- socially responsible investment --- environmental performance --- climate change --- gender diversity --- board of directors --- banking sector --- external support --- environmental practices --- resource efficiency --- sustainable entrepreneurship --- firm size --- financial knowledge --- overconfidence --- underconfidence --- sustainable financial behavior --- financial market participation --- investment fraud --- over-indebtedness --- ethical financial companies --- ESG --- sustainable development goals (SDGs) --- bank efficiency --- bank cost --- stochastic frontier analysis --- stochastic metafrontier analysis --- high-net-worth individuals (HNWIs) --- qualitative research --- reference group theory --- socially responsible investing (SRI)

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Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.A Special Issue of “Risk Measures with Applications in Finance and Economics” will be devoted to advancements in the mathematical and statistical development of risk measures with applications in finance and economics. This Special Issue will bring together the theory, practice and real-world applications of risk measures. This book is a collection of papers published in the Special Issue of “Risk Measures with Applications in Finance and Economics” for Sustainability in 2018.

risk assessment --- VIX --- business groups --- SHARE --- asymptotic approximation --- European stock markets --- whole life insurance --- dynamic hedging --- risk-neutral distribution --- cooperative banks --- Data Envelopment Analysis (DEA) --- group-affiliated --- early warning system --- factor models --- smoothing process --- GMC --- falsified products --- S&P 500 index options --- credit derivatives --- corporate sustainability --- term life insurance --- risk management --- crude oil --- financial stability --- social efficiency --- dynamic conditional correlation --- emerging market --- out-of-sample forecast --- financial crisis --- binomial tree --- news release --- green energy --- perceived usefulness --- Bayesian approach --- two-level optimization --- probability of default --- bank risk --- SYMBOL --- information asymmetry --- CoVaR --- probabilistic cash flow --- japonica rice production --- bank profitability --- Monte Carlo Simulations --- gain-loss ratio --- coherent risk measures --- Mezzanine Financing --- national health system --- option value --- conscientiousness --- online purchase intention --- Slovak enterprises --- spot and futures prices --- liquidity premium --- institutional voids --- utility --- random forests --- bankruptcy --- optimizing financial model --- sustainable food security system --- dynamic panel --- co-dependence modelling --- financial performance --- time-varying correlations --- Project Financing --- future health risk --- generalized autoregressive score functions --- volatility spillovers --- financial risks --- simulations --- life insurance --- emotion --- finance risk --- markov regime switching --- diversification --- production frontier function --- Granger causality --- health risk --- risks mitigation --- returns and volatility --- sadness --- low-income country --- the sudden stop of capital inflow --- bank failure --- China’s food policy --- objective health status --- IPO underpricing --- polarity --- climate change --- stock return volatility --- sentiment analysis --- empirical process --- full BEKK --- stochastic frontier model --- perceived ease of use --- volatility transmission --- openness to experience --- sustainability --- low carbon targets --- quasi likelihood ratio (QLR) test --- banking regulation --- sustainable development --- specification testing --- fossil fuels --- time-varying copula function --- tree structures --- monthly CPI data --- coal --- cartel --- regular vine copulas --- sustainability of economic recovery --- ANN --- EGARCH-m --- financial security --- leniency program --- financial hazard map --- uncertainty termination --- causal path --- stakeholder theory --- technological progress --- banking --- investment horizon --- regression model --- two-level CES function --- joy --- the optimal scale of foreign exchange reserve --- carbon emissions --- stochastic volatility --- B-splines --- self-perceived health --- sovereign credit default swap (SCDS) --- RV5MIN --- utility maximization --- credit risk --- policy simulation --- socially responsible investment --- portfolio selection --- scientific verification --- European banking system --- risk-free rate --- wild bootstrap --- medication --- investment profitability --- Amihud’s illiquidity ratio --- multivariate regime-switching --- inflation forecast --- risk aversion --- market timing --- need hierarchy theory --- variance --- diagonal BEKK --- conjugate prior --- risk --- moving averages --- financial risk --- risk measures