wanyu/IteraTeR_full_sent huggingface dataset:
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: clarity
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices %DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: coherence
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , %DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: coherence
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics %DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , %DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , %DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , %DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: fluency
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , %DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Edit intent: coherence
Original:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% which strives for a new understanding of the economy as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Revised:  9%DIFDELCMD < ] %%% builds on cognitive and emotional models of agents, Neuroeconomics addresses the neurobiological basis of valuation of choices 8%DIFDELCMD < ]%%% , 7%DIFDELCMD < ] %%% or Evolutionary economics 3%DIFDELCMD < ]%%% , 5%DIFDELCMD < ]%%% , 4%DIFDELCMD < ]%%% , 1%DIFDELCMD < ]%%% , 6%DIFDELCMD < ] %%% 
Edit intent: meaning-changed
Original:  The objective here is to precisely delineate common topics in both neural and economic science, within a systemic outlook grounded in empirical basis that jolts the unification across the science of complex systems  .
Revised:  The objective here is to precisely delineate common topics in both neural and economic science, within a systemic outlook grounded in empirical basis that jolts the unification across the science of complex systems . It is argued that this mainly relies on the study of the inverse problem in complex system with a truly Bayesian approach .
Edit intent: meaning-changed
Original: We extend the formalism of Random Boolean Networks with canalizing rules to multilevel complex networks. The formalism allows to model genetic networks in which each gene might take part in more than one signaling pathway. We use a semi-annealed approach to study the stability of this class of models when coupled in a multiplex network and show that the analytical results are in good agreement with numerical simulations .
Revised: The study of the interplay between the structure and dynamics of complex multilevel systems is a pressing challenge nowadays. In this paper, we use a semi-annealed approach to study the stability of this class of models when coupled in a multiplex network and show that the analytical results are in good agreement with numerical simulations .
Edit intent: clarity
Original:  Our results help understanding why some genetic networks that are theoretically expected to operate in the chaotic regime can actually display dynamical stability .
Revised:  Our results point out the need for a conceptual transition from the physics of single layered networks to the physics of multiplex networks. Finally, the fact that the coupling modifies the phase diagram and the critical conditions of the isolated layers suggests that interdependency can be used as a control mechanism .
Edit intent: meaning-changed
Original:  Often there is a need to analyze multiple networks simultaneously, to model a system by more than one type of interaction or to go beyond simple pairwise interactions, but currently there is a lack of theoretical and computational methods to address such problems.
Revised:  Often there is a need to analyze multiple networks simultaneously, to model a system by more than one type of interaction or to go beyond simple pairwise interactions, but currently there is a lack of theoretical and computational methods to address these problems.
Edit intent: fluency
Original:  We illustrate our approach with applications for tripartite community detection in folksonomies, for local and global alignment of protein-protein interaction networks between multiple species  and for detecting clusters of overlapping regulatory pathways in directed networks.
Revised:  We illustrate our approach with applications for tripartite community detection in folksonomies, for local and global alignment of protein-protein interaction networks between multiple species , for tripartite community detection in folksonomies, and for detecting clusters of overlapping regulatory pathways in directed networks.
Edit intent: fluency
Original: A trading strategy based on a natural learning process, which asymptotically outperforms any trading strategy from RKHS (Reproduced Kernel Hilbert Space) , is presented .
Revised: We present a universal algorithm for online trading in Stock Market which performs asymptotically at least as good as any stationary trading strategy that computes the investment at each step using a fixed function of the side information that belongs to a given RKHS (Reproducing Kernel Hilbert Space) , is presented .
Edit intent: meaning-changed
Original: A trading strategy based on a natural learning process, which asymptotically outperforms any trading strategy from RKHS (Reproduced Kernel Hilbert Space) , is presented .
Revised: A trading strategy based on a natural learning process, which asymptotically outperforms any trading strategy from RKHS (Reproduced Kernel Hilbert Space) . Using a universal kernel, we extend this result for any continuous stationary strategy .
Edit intent: meaning-changed
Original: Transcriptional dynamics of gene regulatory networks are regulated in highly precise manner, despite a fluctuating environment and mutations. We model these dynamics as those of a coupled logistic map on a network and design systems which are robust against phenotypic perturbations (perturbations in dynamics), as well as systems which are robust against mutation (perturbations in network structure).
Revised: Dynamics in biological networks are in general robust against several perturbations. We investigate a coupled map network as a model motivated by gene regulatory networks and design systems which are robust against phenotypic perturbations (perturbations in dynamics), as well as systems which are robust against mutation (perturbations in network structure).
Edit intent: clarity
Original:  Analysis based on the maximum Lyapunov exponent and parameter sensitivity shows that systems with marginal stability, which are regarded as systems at the edge of chaos, emerge when robustness against genotypic perturbations is required.
Revised:  Analysis based on the maximum Lyapunov exponent and parameter sensitivity shows that systems with marginal stability, which are regarded as systems at the edge of chaos, emerge when robustness against network perturbations is required.
Edit intent: meaning-changed
Original: We discuss a new notion of risk measures that preserve the property of coherence called Copula Conditional Tail Expectation (CCTE) . This measure describes the expected amount of risk that can be experienced given that a potential bivariate risk exceeds a bivariate threshold value, and provides an important measure for right-tail risk.
Revised: We discuss a new notion of risk measures that preserve the property of coherence called Copula Conditional Tail Expectation (CCTE) , is given. This risk measure describes the expected amount of risk that can be experienced given that a potential bivariate risk exceeds a bivariate threshold value, and provides an important measure for right-tail risk.
Edit intent: coherence
Original: A new notion to risk measurespreserving the coherence axioms , that we call Copula Conditional Tail Expectation (CCTE), is given.
Revised: Our goal in this paper is to propose an alternative risk measure which takes into account the fluctuations of losses and possible correlations between random variables. This new notion of risk measures , that we call Copula Conditional Tail Expectation (CCTE), is given.
Edit intent: meaning-changed
Original: A new notion to risk measurespreserving the coherence axioms , that we call Copula Conditional Tail Expectation (CCTE), is given. This risk measure describes the expected amount of risk that can be experienced given that a potential bivariate risk exceeds a bivariate threshold value, and provides an important measure for right-tail risk.
Revised: A new notion to risk measurespreserving the coherence axioms , that we call Copula Conditional Tail Expectation describes the expected amount of risk that can be experienced given that a potential bivariate risk exceeds a bivariate threshold value, and provides an important measure for right-tail risk.
Edit intent: clarity
Original:  By means of an explicit counter-example, we show that shadow prices may fail to exist even in seemingly perfectly benign situations, i.e., for a log-investor trading in an arbitrage-free market with bounded prices and constant transaction costsof arbitrary size .
Revised:  By means of an explicit counter-example, we show that shadow prices may fail to exist even in seemingly perfectly benign situations, i.e., for a log-investor trading in an arbitrage-free market with bounded prices and arbitrarily small transaction costs .
Edit intent: clarity
Original: We present a phenomenological dynamical model able to describe the stretching features of a lengthvs applied forceDNA curve. As concerning the chain, the model grounds on the discrete worm-like chain model with the elastic modifications, which properly describes the elongation features at low and intermediate forces.
Revised: We present a phenomenological dynamical model able to describe the stretching features of a lengthvs the curve of DNA length vs applied force. As concerns the chain, the model grounds on the discrete worm-like chain model with the elastic modifications, which properly describes the elongation features at low and intermediate forces.
Edit intent: clarity
Original:  Stability of utility-based pricing is also discussed . Second, there is a sequence of utilities defined on R_+ each of which is comparable to a power utility whose relative risk aversion converges to infinity .
Revised:  Stability of utility-based pricing is studied as an application . Second, there is a sequence of utilities defined on R_+ each of which is comparable to a power utility whose relative risk aversion converges to infinity .
Edit intent: meaning-changed
Original:  Since estimating parameters in a stochastic volatility model is a challengingtask , we introduce a robust , knowledge-driven methodology based on the Generalized Methods of Moments .
Revised:  Since estimating parameters in a stochastic volatility model is a challengingtask , we introduce a robust , knowledge-driven methodology based on the Generalized Method of Moments supported by a heuristic selection of the orthogonal conditions .
Edit intent: meaning-changed