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It really depends on what exactly you are referring to when you use the term "stochastic method". Stochastic implies randomness. A stochastic method could involve a random search for the correct interaction, a random search for a set of possible outcomes, or even guided guessing for a nearly exact or likely solution, just to list a few.
The model used in a stochastic method could be first principles, or empirical. In a first principles model the interactions are governed by equations which have been determined by the most basic physics. Any approximations are justified and accounted for. In an empirical model, the interaction is either approximated, guessed at, or completely ignored with a simple input to output mapping. The approximations are unknown, and the errors must be accounted for by comparing the model to a real event, and then crossing ones fingers in the hopes that the errors hold true for all similar events.
For examples:
* Most weather models are a mix of first principles, empirical and stochastic methods. They use first principles to govern air and heat flow, but use empirical approximations to account for the surface of the Earth and the effects of rain fall. They are stochastic in that they use slightly randomized sets of data to reflect errors in the data gathering, and in the model itself.
* Climate models are empirical and stochastic. The basic interactions have been either guessed at or ignored in favor of a simple input to output mapping. The "most likely" outcome is then guessed at by feeding the model a range of inputs. * Calculation of electron exchange and correlation potentials are first principles and stochastic. The interactions of the electrons are dictated strictly by quantum mechanics and electrostatics, but the ground states of many random configurations need to be investigated.
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When was Stochastic Models created?
Stochastic Models was created in 1985.
What has the author Quan-Lin Li written?
Quan-Lin Li has written: 'Constructive computation in stochastic models with applications' -- subject(s): Stochastic processes, Stochastic models
What has the author Robin T Clarke written?
Robin T. Clarke has written: 'Statistical modelling in hydrology' -- subject(s): Mathematical models, Hydrology 'Stochastic processes for water scientists' -- subject(s): Statistical methods, Stochastic processes, Hydrology
What are the classification of operation research model?
Operations research models are typically classified based on their structure and nature, with common classifications including deterministic vs stochastic models, static vs dynamic models, and discrete vs continuous models. Deterministic models assume perfect information and known inputs, while stochastic models factor in uncertainty and randomness. Static models are based on a single period of time, while dynamic models consider multiple time periods. Discrete models involve integer or binary decision variables, whereas continuous models use real-valued variables.
What social sciences can also be classified as a natural science?
Psychology and anthropology can also be classified as natural sciences because they use scientific methods to study human behavior and society from an empirical perspective. Economics can also be considered as a natural science when it uses mathematical and statistical models to analyze economic phenomena.
What are the characteristics of positivist models?
Positivist models are based on the idea that knowledge is derived from observable facts and empirical data. They emphasize objectivity, empirical evidence, and the use of scientific methods to study and understand phenomena. Positivist models seek to establish causal relationships and predict outcomes through systematic observation and experimentation.
What has the author D K Anand written?
D. K. Anand has written: 'Solar powered absorption air-conditioning system performance predictions using stochastic weather models' -- subject(s): Stochastic systems, Stochastic analysis
What has the author John Gurland written?
John Gurland has written: 'Stochastic models in medicine and biology'
What has the author Mark M Meerschaert written?
Mark M. Meerschaert has written: 'Mathematical modeling' -- subject(s): Mathematical models 'Stochastic models for fractional calculus' -- subject(s): Fractional calculus, Diffusion processes, Stochastic analysis 'Mathematical Modeling'
What has the author Tran Duong Hien written?
Tran Duong Hien has written: 'Numerical analysis of stochastic systems' -- subject(s): Mathematical models, Numerical analysis, Stochastic systems
What has the author R Srikanthan written?
R. Srikanthan has written: 'Stochastic generation of rainfall and evaporation data' -- subject(s): Evaporation (Meteorology), Mathematical models, Rain and rainfall, Stochastic processes
What has the author Kurt Marti written?
Kurt Marti has written: 'Stochastic Optimization' 'Coping with uncertainty' -- subject(s): Mathematical models, Uncertainty 'Computation of efficient solutions of discretely distributed stochastic optimization problems' 'Descent directions and efficient solutions in discretely distributed stochastic programs' -- subject(s): Stochastic processes, Mathematical optimization
