Open Notes I
測度論與概率論:
Measure Theory(https://www.math.ucdavis.edu/~hunter/)
Measure and integral(https://people.math.ethz.ch/~kowalski/lecture-notes.html)
Probability: Theory and Examples. 5th Edition(https://services.math.duke.edu/~rtd/PTE/PTE5_011119.pdf)
Lectures on generating functions, Laplace transforms and characteristic functions(http://do.unicyb.kiev.ua/iksan/publications.php)
經(jīng)驗過程:
A Gentle Introduction to Empirical Process Theory and APPlications(http://www.stat.columbia.edu/~bodhi/Bodhi/Research.html)
Empirical Process Theory (2020)(https://stat.ethz.ch/~vsara/Teaching.htm)
隨機過程:
APPLIED STOCHASTIC PROCESSES(https://metaphor.ethz.ch/x/2021/fs/401-3602-00L/)
Stochastic Processes(https://adembo.su.domains/math-136/)
統(tǒng)計學:
Modern Statistical Methods(http://www.statslab.cam.ac.uk/~rds37/modern_stat_methods.html)
APTS High-dimensional statistics: Preliminary material(http://www.statslab.cam.ac.uk/~rds37/modern_stat_methods.html)
計量經(jīng)濟學:
Econometrics(https://www.ssc.wisc.edu/~bhansen/econometrics/)
因果推斷:
Causal Inference: What If(https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/)
Elements of Causal Inference(https://mitpress.mit.edu/books/elements-causal-inference)