统计模型和随机过程哪个对研究更有用？

大家好！

我是微点专业的研究生，主要做的是3D图像传感器（TOF）。

想问一下对于电类偏硬件的专业，今后读博士做科研，statistic modeling和stochastic process哪门更有用一些？

statistic modeling：（比较容易）
- To assess large amounts of data on representativeness and quality
- To express the characteristics of the data using indicators and graphs
- To calculate probabilities for events using theoretical probability distributions
- To estimate population parameters and confidence intervals from sample data
- To choose the right statistical method to test the relation between two variables and to execute these methods correctly
- To estimate a multiple regression model for the relation between one dependent variable and several independent variables
- To check whether or not the conditions for a regression analysis are satisfied and to validate the model
- To perform independently all the steps of solving a given problem using the appropriate statistical analyses and to present the results in a well written report
- To perform these tasks using the statistical software tool SPSS
- To interpret the results of SPSS

stochastic process：（有点跟不上）
(i) renewal processes, (ii) martingales, (iii) random walk and (iv) Brownian motion

我们学校两门课一起上，全选了有点忙不过来，想选一个主攻。。。
求前辈指导～