Publications by Zhuoxin Jiang
505_Practical Assignment #3
#1 Check your working directory getwd() ## [1] "/Users/zosiajiang/Desktop/Harrisburg Application - Zhuoxin Jiang/ANLY 565" #2 Set your working directory to “ANLY 580/RScript”. setwd("~/Desktop/Harrisburg Application - Zhuoxin Jiang/ANLY 565") #3 Download “Inflation.xls” data file and set the “observation_date” variable to the date for...
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Assignment #8
Chapter 9 - Markov Chain Monte Carlo This chapter has been an informal introduction to Markov chain Monte Carlo (MCMC) estimation. The goal has been to introduce the purpose and approach MCMC algorithms. The major algorithms introduced were the Metropolis, Gibbs sampling, and Hamiltonian Monte Carlo algorithms. Each has its advantages and disadva...
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ANLY 565 Assingment #4
#1 Check your working directory getwd() ## [1] "/Users/zosiajiang/Desktop/Harrisburg Application - Zhuoxin Jiang/ANLY 565" #2 Set your working directory to “ANLY 580/RScript”. setwd("~/Desktop/Harrisburg Application - Zhuoxin Jiang/ANLY 565") #3 Download “ffrategdp.xls” data file and set the “observation_date” variable to the date for...
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ANLY505-2020-Late Fall
Chapter 12 - Monsters and Mixtures This chapter introduced several new types of regression, all of which are generalizations of generalized linear models (GLMs). Ordered logistic models are useful for categorical outcomes with a strict ordering. They are built by attaching a cumulative link function to a categorical outcome distribution. Zero-inf...
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505_Assignment #9
Chapter 11 - God Spiked the Integers This chapter described some of the most common generalized linear models, those used to model counts. It is important to never convert counts to proportions before analysis, because doing so destroys information about sample size. A fundamental difficulty with these models is that parameters are on a different...
3536 sym R (47532 sym/59 pcs)