Publications by Xinyi Zhu

545 Final Project

26.02.2023

Crime Data Analysis Presentation Xinyi Zhu 2023-02-26 Abstract Introduction: Across the US,there were more than 25% murders recorded in 2020, which is a steep rise from previous years. The overall crime rate in NYC was up to around 11% in October 2021 compared with last year. In Addition, violent and non-violent crime behaviors both impose signi...

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Xinyi zhu 545 Project

24.02.2023

The relationship between China’s healthcare support, China FDA regulation, and autoinjector market development Presentation Xinyi Zhu 2023-02-24 Abstract Autoinjector Introduction An autoinjector (or auto-injector) is a spring-imbedded medical device that was designed to deliver a dose of a particular drug. The injectors were initially design...

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Xinyi Zhu ANYL 505 Late spring.html

16.02.2023

Chapter 14 - Adventures in Covariance This chapter extended the basic multilevel strategy of partial pooling to slopes as well as intercepts. Accomplishing this meant modeling covariation in the statistical population of parameters. The LKJcorr prior was introduced as a convenient family of priors for correlation matrices. You saw how covariance mo...

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Xinyi Zhu_ANLY505-2022-late summer

09.02.2023

Chapter 13 - Models with Memory This chapter has been an introduction to the motivation, implementation, and interpretation of basic multilevel models. It focused on varying intercepts, which achieve better estimates of baseline differences among clusters in the data. They achieve better estimates, because they simultaneously model the population o...

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Xinyi Zhu _Anly505_2022 late summer

09.02.2023

Chapter 12 - Monsters & 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-inflate...

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Xinyi Zhu_ANLY505-Year-Semester.html

14.01.2023

Chapter 9 - Markov Chain Monte Carlo This week 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 disadvanta...

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Assignment #8 - God Spiked the Integers - xinyi zhu

25.01.2023

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...

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Tests of Association Assignment

26.01.2023

R Markdown The Harrisburg Senators are our city’s Minor League Baseball team. During the 2022 season they ranked the lowest in the Eastern League. Let’s figure out if the Pitchers show any detectable difference on the team’s Wins and Losses. Data extracted from https://www.baseball-reference.com/register/team.cgi?id=f4f65b83 The Harrisbur...

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Tests of Association Assignment

26.01.2023

R Markdown The Harrisburg Senators are our city’s Minor League Baseball team. During the 2022 season they ranked the lowest in the Eastern League. Let’s figure out if the Pitchers show any detectable difference on the team’s Wins and Losses. Data extracted from https://www.baseball-reference.com/register/team.cgi?id=f4f65b83 The Harrisbur...

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Familiar_ Categorical_Data_Assignment_Zhu

11.11.2022

Homework #1 is worth 100 points and each question is worth 6.5 points each. Submission Instructions: save the .HTML file as ‘Familiar_ Categorical_Data_Assignmentyourlastname.HTML’ and upload the HTML file to the assignment entitled ‘Getting Familiar with Categorical Data in R’ on Canvas on or before Wednesday November 13, 2019 by 11:59p....

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