Search results for "stochastic"

showing 10 items of 1018 documents

Stochastic Control Problems

2003

The general theory of stochastic processes originated in the fundamental works of A. N. Kolmogorov and A. Ya. Khincin at the beginning of the 1930s. Kolmogorov, 1938 gave a systematic and rigorous construction of the theory of stochastic processes without aftereffects or, as it is customary to say nowadays, Markov processes. In a number of works, Khincin created the principles of the theory of so-called stationary processes.

Stochastic controlsymbols.namesakeMarkov chainWiener processComputer scienceStochastic processsymbolsStochastic matrixApplied mathematicsMarkov processStochastic optimizationStochastic programming
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A class of stochastic differential equations with non-Lipschitzian coefficients: pathwise uniqueness and no explosion

2003

Abstract A new result for the pathwise uniqueness of solutions of stochastic differential equations with non-Lipschitzian coefficients is established. Furthermore, we prove that the solution has no explosion under the growth ξlogξ. To cite this article: S. Fang, T. Zhang, C. R. Acad. Sci. Paris, Ser. I 337 (2003).

Stochastic differential equationClass (set theory)Probability theoryContinuous functionDifferential equationMathematical analysisApplied mathematicsGeneral MedicineUniquenessMathematicsComptes Rendus Mathematique
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What is Differential Stochastic Calculus?

1999

Some well known concepts of stochastic differential calculus of non linear systems corrupted by parametric normal white noise are here outlined. Ito and Stratonovich integrals concepts as well as Ito differential rule are discussed. Applications to the statistics of the response of some linear and non linear systems is also presented.

Stochastic differential equationMathematics::ProbabilityQuantum stochastic calculusMultivariable calculusStochastic calculusApplied mathematicsDifferential calculusTime-scale calculusMalliavin calculusDifferential (mathematics)Mathematics
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Ito and Stratonovich integrals for delta-correlated processes

1993

Abstract In this paper the generalization of the Itd and Stratonovich integrals for the case of non-linear systems excited by parametric delta-correlated processes is presented. This generalization gives a new light on the corrective coefficients in the stochastic differential equations driven by parametric delta-correlated processes. The full significance of these corrective terms is evidenced by means of some examples.

Stochastic differential equationNuclear Energy and EngineeringGeneralizationMechanical EngineeringMathematical analysisAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsCivil and Structural EngineeringMathematicsParametric statistics
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Stochastic Differential Calculus

1993

In many cases of engineering interest it has become quite common to use stochastic processes to model loadings resulting from earthquake, turbulent winds or ocean waves. In these circumstances the structural response needs to be adequately described in a probabilistic sense, by evaluating the cumulants or the moments of any order of the response (see e.g. [1, 2]). In particular, for linear systems excited by normal input, the response process is normal too and the moments or the cumulants up to the second order fully characterize the probability density function of both input and output processes. Many practical problems involve processes which are approximately normal and the effect of the…

Stochastic differential equationQuantum stochastic calculusStochastic processComputer scienceLinear systemStochastic calculusTime-scale calculusStatistical physicsMalliavin calculusCumulant
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Stability under influence of noise with regulated periodicity

2009

A very simple stochastic differential equation with quasi‐periodical multiplicative noise is investigated analytically. For fixed noise intensity the system can be stable at high noise periodicity and unstable at low noise periodicity.

Stochastic differential equationsymbols.namesakeStochastic resonanceGaussian noiseQuantum mechanicsQuantum noiseMathematical analysissymbolsShot noiseStability (probability)Multiplicative noiseNoise (radio)Mathematics
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A Top-Down Method for Long-Term Investing

2021

This paper bases long-term investing on a tradeable stochastic discount factor (SDF), relates it to the growth optimal portfolio and argues for a top-down method, where modeling efforts are directed at capturing its long-run dynamics in a generalized setting. This differs from the common, cumbersome bottom-up method of modeling many risky securities in the marketplace. Various optimal portfolio strategies can be implemented efficiently using fractional expectations of the SDF. This paper illustrates empirically for the US stock market that the proposed method leads to higher wealth, higher returns on investment and higher long-term utility levels.

Stochastic discount factorEconometricsEconomicsPortfolioStock marketTop-down and bottom-up designInvestment (macroeconomics)Term (time)SSRN Electronic Journal
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Innovation efficiency: a bibliometric review and future research agenda

2021

Innovation efficiency has become a phenomenon of global interest. This paper reviews 165 articles from academic journals of innovation efficiency, applies the data-driven text mining approach to ma...

Stochastic frontier analysisPhenomenon0502 economics and business05 social sciencesData envelopment analysisRegional scienceEconomics050211 marketingBusiness and International Management050203 business & managementAsia Pacific Business Review
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Agricultural and Biotechnology Patents as an Adaptation Strategy to Climate Change: A Regional Analysis of European Farmer’s Efficiency

2022

This chapter analyses the effect of innovation encouraged by climate change challenges on European farmers’ technical efficiency. Using the stochastic frontier approach, we estimate the impact of agri-cultural patents on farmers’ technical efficiency by taking into account both unobservable heterogeneity and heteroscedasticity in the inefficiency term. Our findings suggest that European farmers remain quite far from the maximum frontier and irrespective of the country in which they reside; farmers who innovate are more efficient than those who do not. Thus, the inefficiency of agricultural agents in the European context leaves space for policies that incentivise firms to adopt climate chang…

Stochastic frontier approachClimate changeAgriculturePatentAdaptation
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Does cutting back the public sector improve efficiency? Some evidence from 15 European countries

2013

The successful development of the welfare state that transpired for three decades after WWII in the developed countries, came to a halt around the end of the 1980s. Since then, the number of articles and books dedicated to the crisis of the welfare state has increased. We can now assert that at the turn of the century, almost all industrialized countries had cut at least “some” entitlements in their welfare program along with other expenditure items, and the trend continued in the first decade of this century. To defend the cuts and possibly to justify continuing cuts, several economic reasons, both theoretical and empirical, have been highlighted. From mention of Baumol’s disease to the fi…

Stochastic frontier production function public sector productivity welfare
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