<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Notes | Academic</title><link>https://yiyangclarkzhang0201.com/note/</link><atom:link href="https://yiyangclarkzhang0201.com/note/index.xml" rel="self" type="application/rss+xml"/><description>Notes</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Wed, 25 Dec 2024 00:00:00 +0000</lastBuildDate><image><url>https://yiyangclarkzhang0201.com/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>Notes</title><link>https://yiyangclarkzhang0201.com/note/</link></image><item><title>Note for Econometrics</title><link>https://yiyangclarkzhang0201.com/note/econometrics/</link><pubDate>Wed, 25 Dec 2024 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/econometrics/</guid><description>&lt;p>This note contains the following contents:&lt;/p>
&lt;ul>
&lt;li>Mathematical Review&lt;/li>
&lt;li>Regression&lt;/li>
&lt;li>Endogeneity&lt;/li>
&lt;li>Differences in Differences&lt;/li>
&lt;li>Synthetic Control&lt;/li>
&lt;li>Nonparametric Method&lt;/li>
&lt;/ul></description></item><item><title>Note for Time Series Analysis</title><link>https://yiyangclarkzhang0201.com/note/ts/</link><pubDate>Tue, 13 Feb 2024 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/ts/</guid><description>&lt;p>This note contains the following contents:&lt;/p>
&lt;ul>
&lt;li>Time Series Analysis Theory&lt;/li>
&lt;li>Emperical Time Series Analysis&lt;/li>
&lt;/ul></description></item><item><title>Asset Pricing Notes</title><link>https://yiyangclarkzhang0201.com/note/ap/</link><pubDate>Tue, 09 Jan 2024 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/ap/</guid><description>&lt;p>This note contains the following contents:&lt;/p>
&lt;ul>
&lt;li>Empirical Asset Pricing&lt;/li>
&lt;li>Theory of Asset Pricing&lt;/li>
&lt;/ul></description></item><item><title>Note for Micro-Economics</title><link>https://yiyangclarkzhang0201.com/note/micro1/</link><pubDate>Thu, 30 Nov 2023 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/micro1/</guid><description>&lt;p>The base of this note is my learning content at Georgia Tech courses: Econ 7022 and 7023. This note is built from the lecture notes from the above courses based on my own understanding and refers to multiple textbooks. Part of the proofs and calculations are done by myself. So, if you find there is any mistakes, please get in touch with me.&lt;/p></description></item><item><title>Note for NLP skills</title><link>https://yiyangclarkzhang0201.com/note/nlp/</link><pubDate>Thu, 09 Nov 2023 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/nlp/</guid><description>&lt;p>This note contains the following contents:&lt;/p>
&lt;ul>
&lt;li>Data Preprocessing Skills.&lt;/li>
&lt;li>Build Different Kinds of Machine Learning and Deep Learning Models.&lt;/li>
&lt;li>The Usage of Pretrained Models and LLMs.&lt;/li>
&lt;li>Some examples.&lt;/li>
&lt;/ul></description></item><item><title>Paper Reading Notes</title><link>https://yiyangclarkzhang0201.com/note/crspcompustats/</link><pubDate>Thu, 09 Nov 2023 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/crspcompustats/</guid><description>&lt;p>This note contains the following topics:&lt;/p>
&lt;ul>
&lt;li>Macro-Finance&lt;/li>
&lt;li>Option Trading&lt;/li>
&lt;li>Market Microstructure&lt;/li>
&lt;/ul></description></item><item><title>Note for Statistical Inference</title><link>https://yiyangclarkzhang0201.com/note/stats511/</link><pubDate>Thu, 15 Dec 2022 00:00:00 +0000</pubDate><guid>https://yiyangclarkzhang0201.com/note/stats511/</guid><description>&lt;p>This note contains the following contents:&lt;/p>
&lt;ul>
&lt;li>Large-Sample Approximation&lt;/li>
&lt;li>Data Reduction&lt;/li>
&lt;li>Method of Estimating Parameter&lt;/li>
&lt;li>Estimator Evaluation&lt;/li>
&lt;li>Hypothesis Testing and p-value&lt;/li>
&lt;li>Confidence Interval&lt;/li>
&lt;li>Estimation of Variance of Estimated Parameter&lt;/li>
&lt;/ul></description></item></channel></rss>