With the intensification of social competition, the rate of return to education is gradually decreasing. This leads to a reduction in the indirect effect of education on happiness. This article uses the bivariate ordered Probit model under the educational field theory to investigate the impact of higher education innovation on social class and residents’ happiness. The results show that the innovation and reform of higher education will have a certain impact on residents’ happiness. The improvement of education level can significantly improve the individual's subjective well-being, and there are significant urban-rural differences. This shows that education reform and innovation are imperative.
This paper constructs a mental health probability space based on the law of large numbers. First, this paper defines and predicts the transition of personal emotion and the transmission of emotion. This study treats emotion as two random stages. At the same time, according to the initial parameters of each different stage model, a psychological model with individual characteristics based on the Markov chain is established. It can predict the outcome of emotional activities emotionally. Finally, numerical simulation is carried out with Matlab. The results show that the prediction method can well reflect the emotional state transmission. It can be used in psychological prediction simulations of individuals. The mental health statistical model based on the law of large numbers established in this paper opens up a new way for individual psychological counseling and mental health training.
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