Most Recent Articles: Probability, Uncertainty and Quantitative Riskhttps://probability-risk.springeropen.comMost Recent Articles: Probability, Uncertainty and Quantitative RiskNonlinear regression without i.i.d. assumptionhttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0042-6In this paper, we consider a class of nonlinear regression problems without the assumption of being independent and identically distributed. We propose a correspondent mini-max problem for nonlinear regression...ResearchTue, 05 Nov 2019 00:00:00 GMThttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0042-6Qing Xu and Xiaohua (Michael) Xuan2019-11-05T00:00:00ZPublisher Correction to: Probability, uncertainty and quantitative risk, volume 4https://probability-risk.springeropen.com/articles/10.1186/s41546-019-0041-7An error occurred during the publication of an article in Probability, Uncertainty and Quantitative Risk. The article was published in volume 4 with a duplicate citation number.Publisher CorrectionMon, 26 Aug 2019 00:00:00 GMThttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0041-72019-08-26T00:00:00ZCorrection to: “Existence, uniqueness and comparison results for BSDEs with Lévy jumps in an extended monotonic generator setting”https://probability-risk.springeropen.com/articles/10.1186/s41546-019-0040-8■■■CorrectionThu, 15 Aug 2019 00:00:00 GMThttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0040-8Christel Geiss and Alexander Steinicke2019-08-15T00:00:00ZAffine processes under parameter uncertaintyhttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0039-1We develop a one-dimensional notion of affine processes under parameter uncertainty, which we call nonlinear affine processes. This is done as follows: given a set Θ of parameters for the process, we construct a ...ResearchTue, 28 May 2019 00:00:00 GMThttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0039-1Tolulope Fadina, Ariel Neufeld and Thorsten Schmidt2019-05-28T00:00:00ZLaw of large numbers and central limit theorem under nonlinear expectationshttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0038-2The main achievement of this paper is the finding and proof of Central Limit Theorem (CLT, see Theorem 12) under the framework of sublinear expectation. Roughly speaking under some reasonable assumption, the r...ResearchTue, 16 Apr 2019 00:00:00 GMThttps://probability-risk.springeropen.com/articles/10.1186/s41546-019-0038-2Shige Peng2019-04-16T00:00:00Z